Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP.

Design, build and maintain batch or real-time data pipelines on GCP cloud platform.

Develop and maintain ETL (extract, transform, load) processes to help manage data from multiple sources.

Automate data workflows such as data ingestion, aggregation, and ETL processing.

Design, develop and maintain data transformation pipelines for handling complex business rules.

Plan and implement the migration of legacy application to modern data platform.

Build, maintain, and deploy data products for business operations, analytics and data science teams.

Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

Provide technical guidance and mentorship to the team to develop their skills and expertise in GCP.

Monitor data systems performance and implement optimization strategies.

Design and develop KPI/metrics reports/dashboards for business and IT team members and stakeholders

5 years plus Data Engineering experience in developing and maintaining data products in GCP platform

Advanced SQL skills and experience with relational databases and database design.

Strong implementation experience on various GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Data fusion, cloud spanner, Cloud SQL

Experience working with data ingestion tools and API's

Strong experience working with GCP cloud-based services & solutions.

Must have programmatic experience with tools like Java, Javascript, Python.

Experience in building advance Bigquery SQL and Bigquery modelling

Experience building and deploying machine learning models in production.

Excellent problem-solving, communication, and organizational skills.

Proven ability to work independently and with a team.

Requisition ID : 30233