Key Responsibilities:

- 2 5 years of experience in Data Engineering Big Data development
- Hands on experience with Databricks platform
- Solid knowledge of Apache Spark PySpark Scala SQL
- Experience with data pipeline development ETL ELT
- Proficiency in Python and SQL
- Knowledge of data modeling and data warehousing concepts
- Experience working with large datasets and distributed systems

Technical Requirements:

- Primary skills Domain other solutions Finacle Virtual Lounge Grand Master

Additional Responsibilities:

- Experience with cloud platforms Azure Databricks AWS or GCP
- Familiarity with Delta Lake and Lakehouse architecture
- Experience with workflow orchestration tools Airflow Azure Data Factory
- Knowledge of CI CD pipelines for data engineering
- Exposure to streaming data Kafka Structured Streaming
- Experience with BI tools like Power BI Tableau

Preferred Skills:

Technology->Data Engineering->Databricks

Skills: Data Modeling, Etl, Scala, Power Bi, Kafka, Apache Spark, Gcp, Pyspark, Azure Data Factory, Data Warehousing, Sql, Streaming Data, Azure, Tableau, Airflow, Aws, ELT, Databricks, Python

Experience: 2.00-5.00 Years

📌 Databricks (Bengaluru)
🏢 Infosys
📍 Bengaluru