3 - 8 years

5 - 10 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • Design, build, and maintain robust and scalable ETL/ELT pipelines to ingest data from various sources (APIs, databases, files, streaming)
  • Cleanse, transform, and integrate raw data into usable formats for downstream analytics and machine learning applications
  • Develop and manage data storage solutions such as Snowflake, BigQuery, Redshift, or Azure Synapse
  • Optimize data processing workflows and database performance to ensure minimal latency and high availability
  • Implement data validation, logging, lineage, and monitoring to ensure data integrity, consistency, and compliance
  • Use orchestration tools like Apache Airflow, Luigi, or cloudnative schedulers to automate data workflows and processes
  • Work closely with data scientists, analysts, and stakeholders to understand data requirements and deliver appropriate solutions
  • Maintain thorough documentation and follow engineering best practices, including version control, CI/CD, and testing
  • Stay updated on emerging tools, trends, and technologies in the data engineering landscape to improve system performance and team productivity

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