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Python-Spark Scala Professional

Infosys

RemoteFull timeMid levelPosted today
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About the role

Educational Requirements

BTech, BCA, BSc, MSc, MCA, MTech

Service Line

Data Analytics Unit

Responsibilities

  • 59 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).

Additional Responsibilities

  • 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.

Technical and Professional Requirements

  • Primary skills:Technology- >Big Data - Data Processing- >Spark,Technology- >Functional Programming- >Scala,Technology- >Machine Learning- >Python

Preferred Skills

  • Technology- >Functional Programming- >Scala
  • Technology- >Big Data - Data Processing- >Spark- >SparkSQL
  • Technology- >AI-Data science- >PYTHON

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