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