Description

You will lead the design, development, and maintenance of scalable data solutions focused on Data Centralization, Governance, and Integrity.

Responsibilities

• Design and build large-scale automated data pipelines using GCP native services (BigQuery, Dataflow, Dataproc) integrated across disparate data sources.
• Make key architectural decisions regarding data modeling, storage, real-time processing, and orchestration.
• Implement scalable, reusable data frameworks ensuring consistent data quality and integrity.
• Assist in establishing data governance, quality, and lineage practices using tools like Data Catalog or DLP.
• Mentor junior and mid-level engineers, conducting code reviews and providing technical guidance.

Required Skills

• 5+ years of experience as a Data Engineer or in a comparable Business Intelligence role.
• Bachelor of Science in Information Technology, Computer Science, or related technical field.
• Proficiency with Google Cloud Platform (GCP) native services, including BigQuery, Dataflow, and Dataproc.
• 4-5 years minimum experience with relational databases (MS-SQL, Postgres, or Oracle).
• 3-4 years of experience with NoSQL databases (Cassandra or MongoDB).
• 2-3 years of experience with Python or a similar language.
• Proven ability to make key architectural decisions on data modeling and processing.
• Experience creating and maintaining intermediate to advanced Terraform scripts.
• Ability to work with multi-statement complex queries and troubleshoot performance issues.

Key Skills

Education

Any Graduate