Lead I - Software Engineering_Java spark

Detailed Job Description

Job Responsibilities:

• Responsible for ingesting data from multiple sources into a Data Lake using Java-based tools and frameworks such as Apache Spark, Spring Batch, and connectors for relational and NoSQL databases.
• Write transformation logic using Spark (Java API) and store processed data in HDFS or cloud storage solutions (e.g., AWS S3, GCP Storage, or on-prem equivalents).
• Responsible for writing stored procedures for relational databases (e.g., PostgreSQL, MySQL, or Oracle).
• Develop/re-develop existing ETL code and workflows into the modernized data pipeline.
• Experience with Batch and Realtime data processing and transformations.

  Minimum Job Requirements:

• Must have experience in writing SQL queries and Spark code using Java.
• Must have experience with Java frameworks for data processing and integration (e.g., Spring, Apache Spark, JDBC).
• Should be familiar with Data Warehousing concepts and data modeling techniques like star schema.

  Preferred Job Requirements:

• Good to have knowledge of Delta Lake or similar transactional storage formats in Spark.
• Knowledge of various Slowly Changing Dimensions (SCD) types.
• Basics of workflow orchestration tools (e.g., Apache Airflow, Oozie) and trigger mechanisms.
• Strong client communication skills.

  Educational Requirement -BE/BTech

  Experience Level (Min-Max) -5+ years