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    Job · 19909459

    BENGALURU · FULLTIME

    Python - Data Processing

    Infosys logo

    Infosys

    Bengaluru · onsite · Posted 21d ago

    Sourced fromFoundit
    Not disclosed2–4 yrsfulltimeBengaluru

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    Section · 01

    About this role

    • Primary skills: Python - Data Processing/Technology->Big Data - Data Processing->PySpark,Technology->OpenSystem->Python - OpenSystem->Python

    Key Responsibilities:

    • Build and maintain Python-based data processing components for structured and semi-structured datasets.
    • Develop and support ETL workflows to ingest, transform, validate, and load data into target systems.
    • Design and optimize SQL queries for data extraction, transformation, reconciliation, and reporting needs.
    • Implement reliable data pipelines with proper logging, error handling, retries, and monitoring hooks.
    • Perform data quality checks, anomaly detection rules, and reconciliation to ensure accuracy and completeness.
    • Troubleshoot pipeline failures and performance bottlenecks; drive root-cause analysis and permanent fixes.
    • Collaborate with cross-functional teams to gather requirements and deliver incremental improvements.
    • Maintain clear technical documentation for pipeline design, data mappings, and operational runbooks. Minimum Qualifications:
    • Bachelor's degree (or equivalent) in Engineering/Computer Science/IT or related field (BTech/BE/BSc or equivalent).
    • 2–3 years of hands-on experience in Python for data processing and automation.
    • Practical experience building ETL processes and working with data pipelines end-to-end.
    • Strong SQL skills including joins, aggregations, subqueries, and performance-aware query writing.
    • Ability to write clean, maintainable code and follow basic engineering practices (version control, reviews, testing mindset). Preferred Qualifications:
    • Experience designing scalable pipeline patterns (incremental loads, CDC concepts, partitioning, backfills).
    • Familiarity with Python data libraries and processing approaches (e.g., Pandas, batch processing patterns).
    • Exposure to orchestration/scheduling concepts and operationalizing pipelines for reliability and observability.
    • Experience working with large datasets and optimizing end-to-end pipeline performance (I/O, SQL tuning, compute efficiency).
    • Proven ability to collaborate with stakeholders, translate requirements into technical solutions, and deliver within timelines. Good to have skills: Pandas, NumPy, Apache Airflow, Spark (PySpark), Linux/Shell Scripting

    Sourced from foundit

    Section · 02

    Skills

    BashApache Sparkapache airflowPysparkPythonSQLPandasETLLinux

    Section · Company

    About Infosys

    Infosys logo

    Infosys

    IT Services & Consulting

    323.6k+

    employees

    1981

    45 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Infosys is a global leader in next-generation digital services and consulting.

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    Work-life

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