Senior Data Engineer

Experience: 58 Years

Location: (Open Location) | Type: Full-Time

Job Summary

We are looking for a highly experienced Senior Data Engineer with strong expertise in Python , Advanced SQL , Snowflake , Amazon Redshift , Databricks , and Tableau . The role focuses on building scalable ETL pipelines, optimizing data platforms, and enabling advanced analytics and reporting.

Key Responsibilities

• Design, build, and maintain robust ETL/ELT data pipelines for large-scale data processing.
• Develop optimized data models and transformations using Snowflake, Redshift, and Databricks.
• Write complex, high-performance queries using Advanced SQL .
• Develop scalable data processing solutions using Python.
• Integrate data from multiple structured and unstructured data sources.
• Partner with analytics teams to deliver reporting and dashboards using Tableau.
• Optimize performance, cost, and scalability of cloud-based data platforms.
• Ensure best practices in data security, quality, governance, and compliance.
• Lead code reviews, mentor junior engineers, and drive data engineering best practices.
• Collaborate with product, analytics, and business stakeholders for data-driven decision making.

Must-Have Skills

• Strong hands-on experience with Python for data engineering.
• Expertise in Advanced SQL (window functions, CTEs, query optimization).
• Extensive experience with Snowflake and Amazon Redshift .
• Strong experience with Databricks / Apache Spark .
• Hands-on experience building ETL/Data Pipelines .
• Strong dashboarding and data visualization experience using Tableau .
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Solid understanding of data warehousing concepts and dimensional modeling.

Good to Have Skills

• Experience with Airflow, dbt, or other orchestration tools.
• Streaming data exposure (Kafka, Kinesis).
• CI/CD, Git, and Infrastructure as Code experience.