Data Engineer

Job DescriptionWe are looking for a skilled *Data Engineer* with *3++ years of experience* to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will work closely with data scientists, analysts, and business stakeholders to ensure high-quality, reliable, and performant data solutions.

Key Responsibilities

• Design, develop, and maintain *end-to-end ETL/ELT data pipelines*
• Build and optimize *data ingestion frameworks* from multiple sources (APIs, databases, files, streaming
• Work with *data warehouses and lakehouse architectures* (Snowflake, Redshift, BigQuery, Databricks, etc.)
• Develop and maintain *batch and near-real+time pipelines*
• Ensure *data quality, validation, monitoring, and observability*
• Optimize SQL queries and data models for performance and scalability
• Collaborate with analytics, BI, and ML teams to support reporting and advanced analytics
• Implement *data governance, security, and access controls*
• Automate workflows using *orchestration tools* (Airflow, Luigi, etc.)
• Troubleshoot and resolve data pipeline and production issues

• 3++ years of hands-+on experience as a *Data Engineer*
• Strong proficiency in *Python* and *SQL*
• Experience with *ETL/ELT pipeline development*
• Hands-+on experience with *data warehouses* (Snowflake preferred)
• Experience with *Apache Airflow* or similar orchestration tools
• Strong understanding of *data modeling* (star/snowflake schemas)
• Experience working with *large-+scale datasets*
• Familiarity with *Git-+based version control*
• Experience working in *agile environments*