Description
Role Overview
We are seeking a skilled
Data Engineer
with strong expertise in
SQL and Python
to design, build, and maintain scalable data pipelines and data solutions. The ideal candidate will work closely with analytics, data science, and business teams to ensure high-quality and reliable data delivery.
Key Responsibilities
- Design, develop, and maintain
data pipelines and ETL/ELT processes
- Write complex and optimized
SQL queries
for data extraction, transformation, and analysis
- Develop data processing and automation scripts using
Python
Ensure data quality, integrity, and reliability across systems
-
Work with structured and semi-structured data from multiple sources
-
Optimize data models and database performance
-
Collaborate with stakeholders to understand data requirements and deliver solutions
-
Required Skills & Qualifications
- Strong experience in
SQL
(complex joins, performance tuning, query optimization)
- Strong hands-on experience in
Python
for data engineering and automation
Experience with data modeling and warehousing concepts
-
Knowledge of ETL/ELT frameworks and workflows
-
Experience handling large datasets
-
Understanding of data quality, validation, and monitoring practices
-
Good to Have
Experience with cloud platforms (AWS/GCP/Azure)
-
Exposure to big data technologies (Spark, Hadoop)
-
Experience with orchestration tools (Airflow, Prefect)
-
- Knowledge of version control systems (Git)
