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Job Post Details
Data Engineer – PySpark & Snowflake
Job details
Pay information not provided
Full-time
Bengaluru, Karnataka
Full job description
Job Title : Data Engineer – PySpark & Snowflake
Experience : 3–5 years
Location : DTC Infotech Bangalore
Mode : 5 days WFO
Notice Period : Immediate / 15 Days / 30 Days
About the Role:
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate has strong hands-on experience with PySpark and Snowflake, and enjoys working in a fast-paced startup environment.
You will collaborate with product, analytics, and engineering teams to deliver reliable, high-quality data solutions that support business decision-making.
Key Responsibilities:
- Design, develop, and maintain ETL / ELT data pipelines using PySpark
- Build and manage data models and transformations in Snowflake
- Ingest data from multiple sources (APIs, files, databases, cloud storage)
- Optimise Spark jobs and Snowflake queries for performance and cost
- Ensure data quality, reliability, and scalability of data pipelines
- Work closely with analytics, BI, and downstream consumers
- Troubleshoot data issues and support production pipelines
- Participate in code reviews and follow best data engineering practices
Must-Have Skills:
- 3–5 years of experience in Data Engineering
- Strong hands-on experience with PySpark / Apache Spark
- Solid experience with Snowflake as a data warehouse
- Strong SQL skills (complex queries, joins, aggregations)
- Experience building ETL pipelines in production environments
- Understanding of data modelling concepts
- Familiarity with cloud platforms (AWS / Azure / GCP)
Good-to-Have Skills:
- Experience with Databricks
- Knowledge of workflow orchestration tools (Airflow, ADF, etc.)
- Experience with streaming data (Kafka, Spark Streaming)
- Exposure to CI/CD for data pipelines
Interested candidate kindly share your updated resume to the mail id: aishwarya.bhat@dtcinfotech.com
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