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Supercharge Your Career as a Financial Data Analyst at Technoidentity! Are you ready to solve data challenges that fuel business growth? At Technoidentity, we're a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 15 years—and we're expanding globally. It's the perfect time to join our team of tech innovators and leave your mark! What’s in it for You? As a Financial Data Analyst, you will turn finance and accounting data into reliable reporting, dashboards, and decision-ready insight. This is an analytics-forward, techno-functional role sitting at the intersection of finance, accounting, analytics, and engineering. The pipelines and core platforms are already in place, so your focus is on defining the metrics that matter, validating data, building dashboards and reports, and partnering with stakeholders to drive decisions, rather than building data infrastructure from the ground up. What Will You Be Doing? Metrics and Reporting: Define, build, and maintain standardized financial and operational metrics, dashboards, and reports that leadership can rely on for decision making. Insight and Analysis: Extract, manipulate, and analyze large datasets to surface trends, anomalies, and actionable insights across finance and accounting workflows. Support ad hoc analysis to answer business questions quickly. Stakeholder Alignment: Serve as the main interface between finance, accounting, engineering, analytics, and business partners. Gather requirements, prioritize initiatives, translate complex data into accessible narratives, and manage stakeholder expectations. Data Quality and Governance: Validate assumptions, enforce data quality standards, and ensure reporting is accurate, consistent, and aligned with internal and regulatory requirements (e.g., SOX, GDPR, US GAAP). Platform Partnership: Partner with Engineering and data teams to shape source-of-truth data assets and standardized reporting structures (for example, fact tables for metric reporting), ensuring analyses draw from reliable, unified sources. Coordinate enhancements without owning pipeline construction. Close and Reporting Support: Support Accounting through monthly, quarterly, and year-end close cycles by delivering accurate reporting, reconciliations, and analysis, and by flagging issues that impact reporting reliability. Product and Project Management: Plan, scope, and execute reporting and analytics enhancements, migrations, and rollouts. Track progress, remove blockers, and ensure delivery on time. Work in a fast-paced continuous delivery agile model, attending daily standups and participating in sprint and iteration planning with Engineering. AI Enabled Analytics: Identify and apply AI and automation opportunities to accelerate analysis, reporting, and insight generation. Audit and Incident Support: Support audit readiness, documentation, and periodic reviews. Triage and communicate on reporting and data quality issues, partnering with Engineering for upstream resolution. Requirements What Makes You the Perfect Fit? An analytics-forward profile that pairs strong finance and business domain understanding with hands-on data analysis skills. Proficiency in SQL and experience working with large datasets. Strong experience with BI and visualization tools (for example, Tableau, Looker, or Mode) and advanced Excel. Familiarity with cloud data platforms (for example, Snowflake) and financial systems (for example, Oracle Fusion Financials or NetSuite). Solid understanding of financial reporting, accounting workflows, and the close process, with awareness of US GAAP and SOX. Excellent communication and storytelling skills, with the ability to present complex data clearly to leadership and cross-functional partners. A proactive mindset and genuine interest in applying AI to streamline finance and analytics operations. Bachelor's or Master's in a quantitative or related field (for example, Statistics, Economics, Finance, Computer Science, or Information Systems), or equivalent experience.

Supercharge Your Career as a AI DevOps Engineer at Technoidentity! At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact. What’s in it for You? We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability. What Will You Be Doing? Develop and deploy AI/ML and Generative AI solutions using Python. Build applications leveraging LLMs, RAG, and AI agents. Create and maintain CI/CD pipelines for AI applications. Deploy and manage workloads using Docker and Kubernetes. Support cloud platforms (AWS, Azure, or GCP). Implement Infrastructure as Code (Terraform) and automation workflows. Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms. Collaborate with engineering teams to ensure system reliability, performance, and security. Contribute to MLOps practices, AI accelerators, and reusable frameworks. Requirements What Makes You the Perfect Fit? Python programming (mandatory) Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face Docker, Kubernetes, Git, and CI/CD tools AWS, Azure, or GCP PostgreSQL; MongoDB and Vector Databases are a plus Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal) Familiarity with observability and monitoring tools Qualifications Bachelor's degree in Computer Science, AI, Data Science, IT, or related field 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas Nice to Have Experience with Agentic AI frameworks Knowledge of MLOps and AI platform operations Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Supercharge Your Career as a Senior Data Engineer at Technoidentity! Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 15 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark! What’s in it for You? The Tax Compliance Data Engineering team at Technoidentity is at the heart of how our global tech platform client manages and scales its finance and compliance data infrastructure. This team sits within the Biztech Data Engineering organization and handles critical data related to Tax, Payments, and Legal Compliance regulations. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with a strong emphasis on quality, scalability, and robust engineering practices. What Will You Be Doing? Our team charter is centered on enabling our stakeholders to comply with Tax, Payments, and Legal regulations so that platform participants can continue operating in regulated geographies. The products built by this team ingest, process, validate, and deliver large datasets to government authorities, often in partnership with tax bodies, which means data accuracy and quality are non-negotiable. As you build and maintain key components of the critical compliance data ecosystem, you will have the opportunity to contribute to defining standards and best practices for Data Engineering at scale. Your work on solving complex business challenges will directly shape the tools, processes, and standards used by the broader data community. A Typical Day Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interaction data, PII data, listing details, and external data feeds Develop data models that enable efficient analysis; ensure data quality, consistency, and accuracy across all pipelines Build high quality data assets for product use cases by partnering with cross-functional teams for compliance and reporting purposes Build scalable data pipelines using SparkSQL and Scala, leveraging Airflow as the scheduler and executor framework Collaborate with Data Scientists, Product Managers, and Software Engineers to define data requirements and deliver solutions that drive compliance and operational improvements Contribute to the broader Data Engineering community to influence tooling and standards, improving culture and productivity Improve code and data quality by leveraging and contributing to internal tools designed to automatically detect and mitigate issues Requirements What Makes You the Perfect Fit? 8+ years of relevant industry experience BE/B.Tech in Computer Science or a relevant technical discipline Hands-on experience in DSA coding (Data Structures and Algorithms) Extensive experience designing, building, and operating robust distributed data platforms (Spark, Kafka, Flink, HBase) with demonstrated ability to handle data at petabyte scale Strong understanding of Fintech, Ecommerce, or Booking Platform operating models Strong proficiency in Scala or Python, with deep expertise in data processing technologies and SQL query authoring Demonstrated ability to analyze large datasets to identify gaps and inconsistencies, surface insights, and drive effective data product solutions Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue, or similar frameworks Solid understanding of data warehousing concepts and hands-on experience with relational databases (PostgreSQL, MySQL) and columnar databases (Redshift, BigQuery, HBase, ClickHouse) Excellent written and verbal communication skills

Supercharge Your Career as a Senior Data Engineering Manager at Technoidentity! Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 15 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark! What’s in it for You? The Core Datasets team within our Data Engineering organization is at the heart of how our company manages and scales its finance and non-finance data infrastructure. Our data engineers build and maintain the pipelines that power critical business decisions across the company. This includes finance and non finance business use cases and data pipelines that power their P0 needs (like how is the company adopting AI across Engg and Non Engg functions). You'll be joining a collaborative, cross-functional team that partners closely with finance stakeholders, analytics teams, and data owners across the organization. The Difference You Will Make As a Senior DE Platform Manager, you will sit at the intersection of product management and technical leadership — guiding a pod of data engineers to deliver high-quality, reliable pipelines across finance and non-finance data domains. You will own the roadmap, ensure engineering excellence, and be the primary accountability point for pod delivery and output, driving measurable impact on data quality and pipeline reliability at scale. At the same time, we want the candidate to bring in fresh ideas on how to leverage and implement AI agents at scale to solve complex data quality challenges around detective monitoring, data integrity, completeness, accuracy OR on how to accelerate current Core Datasets pipeline maintenance/ enhancements through AI agents What Will You Be Doing? Lead and manage a pod of data engineers working on Core Datasets pipelines, providing technical and logical guidance on pipeline design, data modeling, and architecture decisions Own and maintain a healthy, prioritized Jira backlog; manage sprint planning, dependency tracking, and delivery milestones to ensure engineers always have clear, unblocked work Partner closely with finance and non finance stakeholders to gather, document, and prioritize data requirements; collaborate with non-finance teams to deliver analytics and data pipelines as needed Review and validate pipeline logic, data quality rules, and transformation specs authored by the engineering team Ensure pipelines are designed to scale and align with the company's evolving data infrastructure, including the migration to Data Morph Quickly triage and mobilize the right team members when pipeline failures occur Balance roadmap items across finance-related and non-finance data pipelines to ensure continuous, well-sequenced delivery In parallel, work with DE on AI Ideation, experimentation, POCs maturing them to production ready deliverables. Requirements What Makes You the Perfect Fit? Proven experience managing or leading a team of data engineers, with strong technical fluency in pipeline design, data modeling, and data quality practices Demonstrated ability to own and manage a complex, multi-stakeholder engineering roadmap Experience with sprint planning, backlog management, and delivery tracking (Jira or equivalent) High level business understanding of finance processes around Treasury Intercompany, Collections, Revenue Operations, Cash Operations, Indirect Taxes. Prior experience working in high volume B2C platform in a platform manager role is a plus Strong understanding of data infrastructure and warehouse concepts around big data, data lakes, star schema, batch processing. Previous experience working with file systems like AWS (with DE teams). Familiarity with big data file formats like Hive, Iceberg Basic understanding of coding platforms/ languages like Spark/ Scala, Data Morph, dbt, or similar transformation frameworks is a plus Excellent cross-functional communication skills — able to partner effectively with finance and non-finance stakeholders to translate business needs into engineering requirements Comfortable operating in a fast-paced environment with shifting priorities and multiple concurrent workstreams

Supercharge Your Career as a Software Engineer – Backend at Technoidentity! Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 15 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark! What’s in it for You? We are looking for a highly motivated Senior Backend Developer with 3-5 years of experience to join our team. The ideal candidate will have strong backend development expertise, a deep understanding of distributed systems, and a high sense of ownership. This role requires working independently on POCs and projects while also mentoring junior team members and enabling scalable delivery. What Will You Be Doing? Design, develop, and maintain scalable backend systems and services. Work independently on project implementations and backend solution development. Implement distributed architecture design patterns to build reliable and high performance systems. Collaborate with cross-functional teams to deliver robust backend solutions. Guide and mentor junior developers, ensuring quality implementation and adherence to best practices. Participate in system design discussions, code reviews, and technical decision-making. Ensure high ownership in delivering solutions aligned with project timelines and goals. Requirements What Makes You the Perfect Fit? 3+ years of backend development experience. Strong expertise in Java. Hands-on experience with distributed systems and architecture design patterns. Strong database development skills with PL/SQL. Strong problem-solving and critical thinking abilities. Excellent team coordination and collaboration skills. High sense of ownership, accountability, and commitment towards project delivery. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field. Good to Have Skills: Exposure to Cloud platforms (AWS or GCP) Understanding of Frontend technologies or DevOps practices Experience with workflow orchestration tools such as Temporal or similar platforms. Work Requirements: Willingness to work in the US or flexible shift timings based on project requirements. Ability to work independently on POCs/projects and help scale additional pods of work. Guide and direct junior team members to ensure proper implementation.

At Technoidentity, we’re a Data + AI product engineering company delivering scalable, modern enterprise solutions. We are seeking a seasoned Senior Database Developer & PostgreSQL Expert with 8–10 years of experience across multiple database systems, with deep hands-on expertise in PostgreSQL internals, performance tuning, advanced indexing, and enterprise data architecture. With a strong preference for Oracle to AlloyDB (PostgreSQL) migration expertise, this role blends modernization, advanced PostgreSQL engineering, and cloud-native architecture on Google Cloud Platform (GCP). If you thrive in transforming complex data logic, optimizing performance, and architecting enterprise-grade PostgreSQL systems, this opportunity is built for you. Requirements Key Responsibilities Database Migration & Development Lead database migrations from Oracle to PostgreSQL-based platforms like AlloyDB, applying both manual and automated strategies. Re-engineer stored procedures, triggers, and packages from PL/SQL to PL/pgSQL. Recreate and optimize DB objects (schemas, constraints, views, indexes) across target platforms. Design PostgreSQL-specific architecture including partitioning strategies, indexing plans (GIN, GiST, BRIN), and query optimization paths. Leverage PostgreSQL internals such as vacuum tuning, WAL configuration, and connection management for optimal system performance. Performance Optimization Implement indexing strategies, query plans, and table partitioning to enhance database performance. Use tools like EXPLAIN ANALYZE, pg_stat_statements, and GCP-native monitoring dashboards for tuning. Collaborate with DevOps for deployment pipelines and infrastructure-as-code (IaC) best practices. Perform deep-dive PostgreSQL performance fine-tuning including buffer cache analysis, autovacuum configuration, and planner optimization. Optimize PostgreSQL workloads for high concurrency and large datasets, ensuring stable and predictable performance. Data Integrity & Validation Build and execute validation scripts for source-to-target comparison. Ensure row-level data accuracy, transformation logic fidelity, and zero data loss post-migration. Manage large-scale datasets for archival and bulk processing tasks. Implement PostgreSQL-native data integrity strategies like constraint management, row-level security (RLS), and trigger-based validations. Collaboration & Documentation Work with cross-functional teams to translate business logic and legacy workflows to scalable, modern database systems. Maintain clear documentation on schema conversions, validation methods, rollback strategies, and change history. Create PostgreSQL architecture documents, optimization playbooks, and database best-practice guidelines for engineering teams. Ideal Candidate Profile Experience & Skills 8–10 years of database development experience across Oracle, PostgreSQL, and similar RDBMS platforms. Strong expertise in PL/SQL and PL/pgSQL for procedural logic, error handling, and performance tuning. Proven track record of large-scale database migration projects (Oracle to PostgreSQL/AlloyDB preferred). Proficient in query optimization, indexing, partitioning, and schema normalization.