Job Summary
We are looking for a skilled Data Engineer with strong expertise in Python and SQL to support our data pipelines, integrations, and analytics initiatives. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data solutions while ensuring high levels of reliability and performance.
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Roles & Responsibilities
Design, build, and maintain scalable data pipelines and ETL processes
Develop automation scripts and data workflows using Python
Write optimized SQL queries for data extraction, transformation, and analysis
Work with relational and/or cloud databases to manage structured datasets
Collaborate with data analysts, data scientists, and engineering teams to deliver high-quality data solutions
Optimize data storage, processing, and retrieval performance
Ensure data quality, integrity, and governance across systems
Troubleshoot data issues, identify root causes, and implement fixes
Support migration, modernization, or cloud-based data initiatives (if applicable)
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Required Skills & Experience
Strong hands-on experience with Python for data processing and automation
Expertise in SQL with the ability to write complex, optimized queries
Experience working with relational databases ( Preferred: PostgreSQL)
Good understanding of ETL/ELT concepts and data pipeline architecture
Familiarity with version control (Git) and CI/CD workflows
Strong problem-solving and analytical skills
Ability to work independently and in cross-functional teams
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Preferred Skills
Experience with cloud platforms (Google Cloud Platform)
Knowledge of data warehousing concepts (Preferred: BigQuery)
Experience with orchestration tools (Airflow, Prefect, Luigi)
Familiarity with big data technologies (Spark, Hadoop)
Understanding of API integrations and data streaming (Kafka, Kinesis)
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