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Senior Engineer, Data Engineering
News Corp
Bengaluru, IND
Full-time
Senior
Onsite
Discovered 3 days ago
Google Cloud PlatformBigQueryETLBIPythonCloud Composer
Free
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Google Cloud PlatformBigQueryETL
Role Overview
We are looking for a Senior Data Engineer with experience in excellent analytical abilities in GCP BigQuery, ETL/BI, Python, Composer/Airfl ow, SQL, GCP Services - with the ability to operate in an agile environment and keen to detail while understanding the larger data warehouse.
Key Skills for This Role
Google Cloud PlatformBigQueryETLBIPythonCloud Composer
Full Job Posting
Job Description
We are looking for a Senior Data Engineer with experience in excellent analytical abilities in GCP BigQuery, ETL/BI, Python, Composer/Airfl ow, SQL, GCP Services - with the ability to operate in an agile environment and keen to detail while understanding the larger data warehouse.
Skills & Competencies
➔ A minimum of 4.5+ years of working experience as a hands-on data engineering is a must
➔ Advanced Degree in the fi eld of Computer Science, Data Engineering, Data Analytics or equivalent discipline
➔ Strong programming experience with Python, SQL, ETL and effi ciently querying big datasets using SQL
➔ Prior experience with CircleCI CI/CD, Terraform and Github version control is a must
➔ Solid understanding of Data Collection, Data Ingestion, Data Integration, and Data Operations & Maintenance
➔ Implement data governance practices, including data quality, security, and compliance, in line with organizational standards.
➔ Domain knowledge on News, Media & Communications is an added advantage.
R E S P O N S I B I L I T I E S
➔ Design, build, and maintain scalable ETL/ELT pipelines in Google Cloud, using tools like Cloud Composer (Airfl ow), Dataproc and BigQuery.
➔ Collaborate with cross-functional teams to defi ne data architecture and data warehouse requirements
➔ Automate data pipelines, ETL/ELT processes, and data integration workfl ows using infrastructure-as-code (IaC) and confi guration management tools
➔ Deep understanding of BigQuery, including SQL, optimization techniques, partitioning, clustering, and performance tuning.
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