We are looking for a Data Engineer with 3–4 years of experience in building scalable data pipelines and ETL/ELT workflows. The ideal candidate should have solid Python and SQL skills, experience integrating data from multiple sources, and a passion for delivering high-quality, reliable data solutions.
Key Responsibilities
Build and maintain scalable ETL/ELT pipelines.
Develop data ingestion, transformation, and validation workflows.
Optimize SQL queries and database performance.
Monitor and troubleshoot data pipelines.
Collaborate with cross-functional teams to deliver data solutions.
Ensure data quality, governance, and documentation.
Required
Skills
Python, SQL, Pandas, NumPy
ETL/ELT, Data Modeling, Data Validation
PostgreSQL,
MySQL (MongoDB/Firestore is a plus)
REST APIs, JSON/XML
Git, Docker, CI/CD
AWS, Microsoft Fabric
Preferred Skills
Snowflake or other data warehouses
Distributed data processing
Data governance and monitoring tools
Qualifications
Bachelor's degree in Computer Science, IT, or related field.
3–4 years of experience in Data Engineering.
Strong analytical, problem-solving, and communication skills.
What We're Looking For A proactive engineer who can build scalable data solutions, ensure data quality, and work effectively with cross-functional teams.
📌 Data Engineer (Bengaluru)
🏢 Talkinglands
📍 Bengaluru
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