Design, develop, and maintain robust ETL/ELT data pipelines
Build and optimize data warehouses and data lakes
Ensure data quality, integrity, security, and performance
Integrate data from multiple sources (APIs, databases, files, streaming systems)
Collaborate with analytics and data science teams to support reporting and modeling needs
Monitor, troubleshoot, and optimize data workflows
Implement best practices for data governance and documentation
Support cloud-based data solutions and infrastructure
Bachelor s degree in Computer Science, Engineering, or related field
Strong experience with SQL and relational databases
Hands-on experience with Python / Java / Scala
Experience with ETL tools and data pipeline frameworks
Knowledge of data warehousing concepts (star/snowflake schemas)
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Familiarity with Big Data technologies (Spark, Hadoop, Kafka - preferred)
Understanding of version control (Git) and CI/CD practices
Experience with tools like Airflow, dbt, Snowflake, Redshift, BigQuery
Knowledge of data security and compliance standards
Experience in Agile/Scrum environments
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