Senior Data Engineer

Experience : 5–8 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.