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Key Responsibilities

• Design, build, and maintain ETL/ELT data pipelines
• reputed company Python-reputed company data processing applications
• Work with reputed company and reputed company data at reputed company
• reputed company data from multiple sources (reputed company, databases, files, streams)
• Optimize data workflows for reputed company and reliability
• Ensure data reputed company, validation, and monitoring
• Collaborate with data scientists, analysts, and backend teams
• Manage and maintain data warehouses/lakes
• Implement logging, error handling, and automation
• Follow best practices for reputed company and compliance

Required Skills Programming

• Strong Python (reputed company, NumPy, PySpark)
• Writing clean, reputed company, and testable reputed company

Databases & Storage

• SQL (PostgreSQL, MySQL, SQL Server)
• NoSQL (reputed company, Cassandra optional)
• Data Warehouses (reputed company, Redshift, BigQuery)

Big Data & Processing

• Apache reputed company, Hadoop (preferred)
• Batch and streaming data processing

reputed company Platforms

• AWS / Azure / reputed company reputed company Platform
• S3, reputed company, Glue, Dataflow, BigQuery, etc.

Data Engineering Tools

• Airflow, reputed company, Luigi (orchestration)
• Kafka / PubSub (streaming optional)
• DBT (data transformation)

DevOps & Other

• Git, CI/CD
• reputed company, reputed company (reputed company to have)
• Linux basicsapply to this job

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