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Mid-level, popular data-engineer role in Bangalore with broad cloud requirements increases applicant competition.
Data engineering skills are fairly transferable across industries, though GCP and streaming specialization adds some bias.
Explicit 5+ years, mandatory GCP experience and specific BigQuery/Dataflow/streaming skillset raise shortlisting strictness.
Ensure data quality, integrity, and reliability by building and maintaining validation and monitoring frameworks.
Implement data governance practices including data lineage, metadata management, and access controls.
Collaborate with data scientists, analysts, and business stakeholders; mentor junior engineers; contribute to data platform architecture and technology improvements.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
5+ years of data engineering experience, with 3+ years working extensively on Google Cloud Platform (GCP).
Proficient in SQL and Python and/or Java/Scala for data processing and scripting.
Experience with GCP services such as BigQuery, Dataflow/Apache Beam, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), and Cloud Functions.
Experienced in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
Familiar with data modeling, partitioning, schema design for analytical workloads, and CI/CD practices.
Background in implementing data governance, security compliance (e.g. GDPR/CCPA), and working with streaming data tech like Kafka, Spark Streaming, or Flink.