Educational Requirements

BTech, BCA, BSc, MSc, MCA, MTech

Service Line

Data Analytics Unit

Responsibilities
59 years of experience in Data Engineering / Big Data development.
Robust 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.
Solid 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 Skilled 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

📌 Python Spark Scala Professional Bengaluru
🏢 Infosys
📍 Bengaluru