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Job Description
Job Title: Software/Data Engineer – Python, PySpark, AWS
Experience Required:
Total Experience: 6-8 Years
Location: PAN India (Any Infosys Development Center)
Mandatory Skills:
Role Overview
The candidate will be responsible for designing, developing, and maintaining scalable data engineering solutions using PySpark and Python. The role requires hands-on experience with AWS cloud services, database technologies, messaging platforms, and ETL processes to support enterprise-scale data integration and analytics initiatives.
Key Responsibilities:
Share your updated CV at [Confidential Information]
Job ID: 151740391
Skills:
Pyspark, Sql, Python
Skills:
Core Java, Sql, S3, Ec2, Maven, Scala, Pyspark, AWS, Python, Jenkins, Git, Hive programming, dbt, Map Reduce, Cradle

Skills:
data wrangling , slicing , Data Loading, concurrency, Exception Handling, Debugging, Numpy, Pyspark, Pandas, Python, Apis, Git, Restful Services, Oop, dataframes, Lambda Functions, applymap, unit tests, DB connectivity, Decorators, error handling, Parallel Processing, apply map functions, aggregations
Skills:
Pyspark, PostgreSQL, Kafka, Apache Airflow, Tensorflow, Pytorch, Docker, MySQL, Flask, Oracle, Python, AWS, Azure DevOps, Hadoop, SQL Server, Sql, Big Data Technologies, Django, Jenkins, Azure Data Factory, Hive, Gcp, Spark, MongoDB, Azure, Kubernetes, Etl, AWS Step Functions, GitLab CI