Junior Data Engineer

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)