We are looking for an Associate Architect / Architect / Technical Lead Data Engineering with strong hands-on expertise in Data Warehousing (DWH), ETL, and cloud platforms.

The ideal candidate will bring deep technical knowledge, strategic thinking, and leadership capabilities to help drive data engineering initiatives across cloud and on-premise environments.

Qualification : Bachelors/Masters Degree in Computer Science or related field.

Roles and responsibilities :

- Solid database understanding of SQL experience and data modelling.

- Understanding of DWH architecture (EDW / DM concepts, Star and snowflake schema).

- Strong Experience working on designing and building data pipelines on Azure Cloud stack.

- Strong experience on one of the Cloud Services.

- Azure : Data Fabric, Data Explorer, Data factory, Data Bricks, Synapse and Azure SQL Datawarehouse.

- AWS : Glue, Athena, S3, Redshift, RDS.

- GCP : Big Query, Big Table, Data Proc, Data Prep.

- Expert knowledge and experience working with any one of the ETL tools/Technologies : Informatica, SSIS, Talend etc.

- Knowledge and experience on DevOps and CI/CD Pipelines.

- Expertise with on premise database environments such as Oracle, SQL Server, MySQL and/or Postgres.

- Experience or Knowledge on Cloud Datawarehouses : SNOWFLAKE.

- Experience with data visualization utilizing Power BI or SSRS or Tableau.

- Hands-on Experience building or working with Medallion, Data Lake and Lakehouse Architectures.

- Demonstrated problem solving with experience providing business insights from large data sets.

- Interpret data, analyze results using statistical techniques and provide ongoing reports.

- Excellent oral and written communication skills, and ability to provide strategic direction to both technical and business organizations.

- Ability to articulate complex data solutions concisely and with clarity at senior management level.

- Experience implementing, managing, supporting data warehouse projects or applications.

- Experience in leading and delivering full-cycle implementation projects related to Business Intelligence.

- Strong team management and stake holder management skills.

- Strong attention to detail and accuracy with ability to meet deadlines with short lead times.

- Knowledge on Application development, APIs, Microservices, Integration components.