Data Engineer
Thoughtwin (company site, opens in a new tab)1–4 yrsIndoreOn-siteDirect career pageEst. 4.5–9 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 and data platforms leveraging big data technologies.
- Build and optimize data warehouses using Snowflake and implement workflow orchestration via Airflow or equivalent tools.
- Ensure data quality, validation, and performance optimization across cloud platforms like AWS, Azure, or GCP.
Minimum Requirements
- 1-4 years of work experience in data engineering or related roles.
- Hands-on experience with Hadoop ecosystem (HDFS, YARN, MapReduce), Apache Spark (PySpark, Spark SQL), and Snowflake data warehousing.
- Proficient in advanced SQL, Python (including PySpark), and ETL/ELT pipeline development.
- Experience working with cloud platforms such as AWS, Azure, or GCP and workflow orchestration tools like Apache Airflow.
Ideal Candidate Profile
- Technical proficiency with large-scale distributed data systems and cloud-native services across at least one major cloud provider.
- Experience with data modeling techniques including Star and Snowflake schemas and slowly changing dimensions (SCD Types).
- Demonstrated ability to collaborate with cross-functional teams including data analysts and scientists while focusing on data quality and cost/performance optimization.