ETL Data Engineer

7 days ago


Mumbai, India Information Technology Full time

Key Responsibilities :- Design, develop, and maintain robust data pipelines and ETL/ELT workflows using PySpark, Python, and SQL.- Build and manage data ingestion and transformation processes from various sources including Hive, Kafka, and cloud-native services.- Orchestrate workflows using Apache Airflow and ensure timely and reliable data delivery.- Work with large-scale big data systems to process structured and unstructured datasets.- Implement data quality checks, monitoring, and alerting mechanisms.- Collaborate with cross-functional teams including data scientists, analysts, and product managers to understand data requirements.- Optimize data processing for performance, scalability, and cost-efficiency.- Ensure compliance with data governance, security, and privacy Skills & Qualifications : - 5+ years of experience in data engineering or related roles.- Strong programming skills in Python and PySpark.- Proficiency in SQL and experience with Hive.- Hands-on experience with Apache Airflow for workflow orchestration.- Experience with Kafka for real-time data streaming.- Solid understanding of big data ecosystems and distributed computing.- Experience with GCP (BigQuery, Dataflow, Dataproc)- Ability to work with both structured (e.g., relational databases) and unstructured (e.g., logs, images, documents) data.- Familiarity with CI/CD tools and version control systems (e.g., Git).- Knowledge of containerization (Docker) and orchestration (Kubernetes).- Exposure to data cataloging and governance tools (e.g., AWS Lake Formation, Google Data Catalog).- Understanding of data modeling and architecture principles. (ref:hirist.tech)


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