5–9 years of experience in Data Engineering / Big Data development.
Strong hands-on experience with Python and Apache Spark (Scala & PySpark).
Deep understanding of Spark architecture (RDD, DataFrames, Spark SQL).
Experience in distributed computing and big data processing.
Strong knowledge of SQL and data modeling concepts.
Experience with data pipeline development (ETL/ELT).
Familiarity with Linux/Unix environments.
Experience with version control tools (Git).
Experience with cloud platforms (AWS, Azure, or GCP).
Hands-on with Databricks / EMR / Spark clusters.
Knowledge of streaming technologies (Kafka, Spark Streaming, Structured Streaming).
Experience with workflow orchestration tools (Airflow, Oozie).
Familiarity with Delta Lake / Lakehouse architecture.
Exposure to NoSQL databases (MongoDB, Cassandra).
Knowledge of CI/CD and DevOps practices.
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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