Roles and Responsibilities •

10+ years of relevant work experience, including previous experience leading Data related projects in the field of Reporting and Analytics.

• Design, build & maintain scalable data lake and data warehouse in cloud (GCP)

• Expertise in gathering business requirements, analysing business needs, defining the BI/DW architecture to support and help deliver technical solutions to complex business and technical requirements • Creating solution prototype and participating in technology selection. Perform POC and technical presentations • Architect, develop and test scalable data warehouses and data pipelines architecture in Cloud Technologies (GCP)

• Experience in SQL and No SQL DBMS like MS SQL Server, MySQL, PostgreSQL, DynamoDB, Cassandra, MongoDB.

• Design and develop scalable ETL processes, including error handling. • Expert in Query and program languages MS SQL Server, T-SQL, PostgreSQL, MY SQL, Python, R.

• Preparing data structures for advanced analytics and self-service reporting using MS SQL, SSIS, SSRS

• Write scripts for stored procedures, database snapshots backups and data archiving. • Experience with any of these cloud-based technologies: o PowerBI/Tableau, Azure Data Factory, Azure Synapse, Azure Data Lake o AWS RedShift, Glue, Athena, AWS Quicksight o Google Cloud Platform Good to have:

• Agile development environment pairing DevOps with CI/CD pipelines

• AI/ML background Interview Rounds: 2 Technical Rounds followed by HR Round.