Data Engineer

Job Title : Data Engineer – PySpark & Snowflake

Experience : 3–5 years

Location : DTC InfotechPvt. Ltd. Bangalore-Jayanagar

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: