Senior Data Engineer – ETL/ELT, Cloud Data Platforms & AI Needed for US client interview and project. Strictly 9+ years of overall experience, You can also directly DM on whatsapp (phone hidden), Required availability ( between 6:30 PM to 2:30 AM) IST. Senior Data Engineer – ETL/ELT, Cloud Data Platforms & AI We are looking for professionals who can design, develop, optimize, and maintain robust data pipelines while working with modern cloud technologies, data warehouses, and AI-assisted engineering tools. The ideal candidate should have strong hands-on experience with SQL, Python, ETL/ELT development, data modeling, and enterprise data platforms.

Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build enterprise data warehouses, data lakes, and lakehouse solutions.
• Develop data integration solutions across multiple systems and platforms.
• Perform data modeling, transformation, validation, and optimization.
• Work with cloud-based data engineering platforms and technologies.
• Implement data quality, governance, lineage, and security standards.
• Optimize SQL queries, pipeline performance, and data processing costs.
• Develop automated testing, monitoring, and CI/CD workflows.
• Collaborate with business analysts, data architects, BI developers,



and stakeholders.
• Leverage AI coding assistants and agentic development tools to improve engineering productivity. Required Technical Skills
• Robust SQL and Python programming skills.
• Hands-on ETL/ELT pipeline development.
• Experience with Microsoft Fabric, Azure Data Factory, or similar data platforms.
• Experience with Snowflake, Databricks, BigQuery, or Amazon Redshift.
• Knowledge of data warehousing, dimensional modeling, and lakehouse architecture.
• Experience with Apache Spark, PySpark, or distributed data processing.
• Understanding of data quality, data governance, and data security.
• Experience with orchestration tools such as Airflow, Dagster, or Azure Data Factory.
• Knowledge of Git, CI/CD, and automated testing. Preferred Skills
• Microsoft Fabric and OneLake.
• Delta Lake, Apache Iceberg, and medallion architecture.
• Kafka, Flink, or streaming data pipelines.
• dbt and metadata-driven pipeline frameworks.
• AI coding assistants, AI agents, MCP, and agentic development workflows.
• Experience supporting AI/ML and analytics workloads.
• Experience working with enterprise clients and business stakeholders.

📌 Senior Data Engineer – ETL/ELT, Cloud Data Platforms (India)
🏢 Stackzy Technologies
📍 India