Data Engineer
Leader IT2–3 yrsRemoteDirect career pageEst. 6–10 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines integrating data from multiple structured and unstructured sources.
- Ensure data accuracy, quality, performance, and security while supporting analytics, AI, and machine learning applications.
- Monitor, troubleshoot, and optimize data workflows using tools like Apache Airflow, PySpark, and cloud platforms to enable reliable data solutions.
Minimum Requirements
- 2–3 years of professional experience in data engineering, ETL development, or related roles.
- Proficiency in SQL, Python, PySpark, and experience with relational and NoSQL databases.
- Experience with cloud data platforms (AWS, Azure, GCP) and data pipeline orchestration tools such as Apache Airflow.
- Bachelor’s or Master’s degree in Computer Science, IT, Data Science, Software Engineering, or related field.
Ideal Candidate Profile
- Experienced in building data pipelines supportive of AI and machine learning use cases including handling structured and unstructured data.
- Comfortable working in cross-functional teams involving data scientists, AI engineers, and product teams with focus on data accuracy and performance.
- Familiar with cloud-native data engineering tools, version-controlled development workflows, and advanced query optimization techniques.