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Senior Data Engineer
3 weeks ago
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.