Responsibilities
Design, develop, and maintain scalable data pipelines on Google Cloud.
Build ETL/ELT workflows for ingesting and transforming data from multiple sources.
Develop and optimize data warehouses using BigQuery.
Create and manage data lakes using Cloud Storage and BigLake.
Process large-scale batch and streaming data using Dataflow, Dataproc, and Apache Spark.
Develop real-time data ingestion solutions using Pub/Sub.
Perform data modeling and database optimization.
Write complex SQL queries and improve query performance using BigQuery.
Automate workflows using Cloud Composer (Airflow) and Workflows.
Ensure data quality, validation, governance, and security controls.
Monitor and troubleshoot production data pipelines.
Collaborate with Data Analysts, Data Scientists, and business stakeholders.
Implement CI/CD practices for data engineering solutions.
Educational Requirements
MCA, MSc, MTech, B.Tech, BCA, BSc
📌 Gcp Big Query Pan India Hyderabad
🏢 Infosys
📍 Hyderabad
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