Python+ETL+Pyspark

Infosys Limited
Posted on
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Experience
2 - 3 yrs
Salary (CTC)
₹5.9L - ₹6.7L
Job Location
Hyderabad, India
Vacancy
1
Designation
ETL Developer
Job Type
Not specified

Job Description

Educational Requirements
Bachelor of Engineering, BTech, BSc, BCA, MSc, MTech, MCA
Service Line Data Analytics Unit
Responsibilities
  • ETL Development: Design, develop, and maintain ETL pipelines using Python and PySpark
  • Extract, transform, and load data from multiple structured and unstructured sources
  • Build reusable and scalable data processing frameworks
  • Ensure data quality, validation, and consistency
  • PySpark / Big Data Processing
  • Develop and optimize PySpark jobs for large-scale data processing
  • Work with Spark DataFrames and RDDs
  • Implement transformations, aggregations, and joins in Spark
  • Optimize jobs for performance and scalability
  • Python Development
  • Develop backend logic and data processing scripts using Python
  • Write modular, reusable, and efficient code
  • Integrate APIs and automate workflows
  • Data Management Integration
  • Work with data lakes and warehouses (S3, HDFS, Redshift, Hive)
  • Handle file formats like Parquet, ORC, JSON, CSV
  • Perform data cleansing, enrichment, and transformation
  • Collaboration Support
  • Work with data engineers, analysts, and business stakeholders
  • Debug and troubleshoot ETL/data pipeline issues
  • Participate in Agile/Scrum ceremonies
  • Maintain documentation and coding standards
Additional Responsibilities:
  • Core Skills: 25 years of experience in Python and ETL development
  • Hands-on experience with PySpark (mandatory)
  • Strong understanding of data processing and pipelines
  • Solid knowledge of SQL and database concepts
  • Technical Skills: Experience with Apache Spark ecosystem
  • Good knowledge of data structures and algorithms (basic to intermediate)
  • Familiarity with Big Data technologies (Hadoop, Hive)
  • Experience with version control (Git)
  • Understanding of REST APIs and integrations
Technical and Professional Requirements:
  • Primary skills:Domain->Finacle-Core-Functional->Finacle-Core-WMS->Grand Master
  • Technology->ETL Data Quality->ETL - Others
  • Technology->Machine Learning->Python
Preferred Skills:
  • Technology->ETL Data Quality->ETL - Others
  • Technology->AI-Data science->PYTHON
  • Technology->Big Data - Data Processing->PySpark

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