Join a collaborative engineering team where you’ll turn raw, complex data into trusted insights that power real business decisions. In this role, you’ll work hands-on with Spark-Scala and Databricks to build scalable data pipelines, optimize distributed processing, and help teams deliver reliable datasets for analytics and downstream applications. You’ll partner closely with data engineers, analysts, and stakeholders to understand requirements, translate them into robust ETL solutions, and continuously improve performance and quality. If you enjoy solving data challenges, learning modern cloud data practices, and taking ownership from development through production support, this is a great opportunity to grow your impact while working in a supportive, high-accountability culture.
Key Responsibilities:
Data Engineering & ETL Development
Performance, Reliability & Operations
Collaboration & Delivery
Primary skills:Technology->Big Data - Data Processing->Spark
Technology->Data Engineering->Databricks
Technology->Functional Programming->Scala
Minimum Qualifications:
Preferred Qualifications:
Good to have skills:
SQL, Delta Lake, Apache Airflow, Azure Data Lake Storage (ADLS), Git
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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