We are looking for lead data engineers who are skilled in SQL , Python , ETL (Any tool), DWH and Google Cloud (BigQuery), to join our team for a project involving the data migration and modernization of data from on-premise to Google BigQuery.

Required Skills and Qualifications
Bachelors degree in computer science, CIS, or related field
7 to 10 years of IT experience in software engineering or related field
Experience on project(s) involving the implementation of software development life cycles (SDLC)
Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks.
Robust in programming with SQL and able to write complex queries
Hands-on over any one (or multiple) ETL tools among Ab-Initio / Informatica / Teradata / DataStage / etc.
Experience in GCP Big Query, Cloud Composer, DataProc




Offer system support as part of a support rotation with other team members.
Operationalize open-source data-analytic tools for enterprise use.
Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.
Understand and follow the company development lifecycle to develop, deploy and deliver.
Positive to know BigData tools/skills like Hadoop, Hive, Python, PySpark, etc.
Valuable to have experience over other cloud services like Azure or AWS

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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