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Design, develop, and maintain ETL/ELT pipelines using Informatica IICS to load, transform, and validate data into Snowflake. Optimize SQL and Snowflake objects, implement incremental loads/CDC and SCD patterns, automate scheduling and error handling, troubleshoot data issues, and collaborate with analysts, architects, QA, and engineering for production deployments.

Design and implement scalable ETL pipelines in Databricks using PySpark; develop and optimize complex SQL and stored procedures; integrate diverse data sources into data warehouses; ensure data quality and performance tuning; troubleshoot Databricks ingestion and transformation issues; document processes and enforce best practices while mentoring team members.

Lead design and implement ETL pipelines using Informatica MDM, develop and optimize complex SQL/PLSQL/T-SQL stored procedures, model enterprise data warehouses, automate ingestion with Python, troubleshoot ETL performance, enforce data governance, and collaborate with cross-functional teams to ensure data quality and scalable modern data platform architectures.

Senior Data Engineer to design, build and maintain ETL pipelines and modern data platforms. Work with GCP and AWS data services (BigQuery, Dataproc, Dataflow, Databricks, EMR), Spark/pySpark, Hadoop/Hive, Python/Scala, SQL/PLSQL/T-SQL, Airflow/Autosys, S3/Elasticsearch, APIs, and version control. Onsite four days per week.

Design and implement scalable ETL and real-time/batch pipelines using Azure Data Factory, Synapse, and Spark; build and optimize lakehouse and warehouse analytics, integrate Kusto/Delta Lake sources, tune SQL, develop Power BI reports with DAX, maintain secure Azure data architectures, and document technical processes.

Design, build, and optimize end-to-end Databricks Lakehouse data pipelines (batch and real-time) using PySpark, Delta Lake, DLT, Auto Loader and Structured Streaming. Implement Bronze/Silver/Gold layers, data models, governance with Unity Catalog, and orchestrate workflows. Collaborate with analysts and stakeholders to ensure performant, secure, and scalable data solutions.

Design and lead .NET backend microservices architectures ensuring scalability, security, and high performance. Guide engineering teams, translate business needs into technical designs, develop/optimize .NET/C# APIs, manage CI/CD pipelines, integrate SQL Server and Oracle databases, and implement containerization with Docker and Kubernetes. Oversee technical backlog and performance tuning.

Lead product strategy and roadmap; manage end-to-end product lifecycle from ideation to launch; conduct market and competitive analysis; define requirements, prioritize backlog, and measure product KPIs; collaborate with engineering, design, marketing, and sales; ensure compliance and promote agile practices.

The Director, Client Partner role at Brillio involves driving sales, fostering executive relationships, managing client accounts, and delivering superior customer experiences in the BFSI sector.

The role focuses on designing and deploying Agentic AI systems, developing AI agents using LLMs, and integrating retrieval systems while collaborating with cross-functional teams.