Data Engineer – PySpark / ETL |Pune | JCI

Job Description

Client: JCI

Location: Pune

Experience: 5 – 8 Years

Budget: Up to 14 LPA

Interview Mode: Face-to-Face Interview (Mandatory)

Key Responsibilities

• Design, develop, and test software solutions.
• Work on data processing and transformation using ETL frameworks.
• Develop and manage data pipelines for data manipulation and integration.
• Work with data warehousing technologies and big data ecosystems.

Required Skills

Experience

• 5 to 8 years of relevant software design, development, and testing experience.
• Product development experience preferred.

ETL Tools

• Experience with ETL (Extract, Transform, Load) tools and frameworks such as Spark.

Programming

• Proficiency in PySpark, Python, Scala, Java, and SQL for data manipulation.

Database Technologies

• Familiarity with PostgreSQL and Cloud SQL.

Data Warehouse

• Understanding of data warehouse concepts.
• Experience with technologies such as Snowflake and Hive.

Streaming

• Familiar with Kafka and Event Hub.

Big Data

• Must understand the Hadoop ecosystem.

Good to Have

• Understanding of Azure Cloud
• Spring Framework
• Microsoft Fabric

Important

• Candidate must be available for Face-to-Face interview.

Skills: Etl, extract transform load , Pyspark, Sql, Hadoop, Spark, Kafka, Java, Python, Scala

Experience: 4.00-8.00 Years