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Lead Software Engineer - Python, AWS

11-18 years

Mumbai

1 vacancy

Lead Software Engineer - Python, AWS

JPMorgan Chase & Co.

posted 13d ago

Job Role Insights

Job Description

Job responsibilities

  • Design, develop, and maintain ETL processes (using Python, AWS) to support data integration and data warehousing solutions.
  • Collaborate with data architects, data analysts, and business stakeholders to understand data requirements and translate them into technical specifications.
  • Optimize and tune ETL processes (using Python, AWS) for performance and scalability.
  • Ensure data quality and integrity through rigorous testing and validation procedures.
  • Monitor and troubleshoot ETL processes to resolve issues and ensure timely data availability.
  • Develop and maintain documentation for ETL processes, data flows, and data models.
  • Mentor and provide guidance to junior ETL engineers and data team members.
  • Stay current with industry trends and best practices in data engineering and ETL technologies.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience in ETL development (using Python, AWS) and data engineering
  • Preferred experience with Apache Spark
  • Strong SQL skills and experience with relational databases (e.g., Oracle, SQL Server, MySQL)
  • Good Debugging and Optimization Capabilities
  • Understanding of different data formats like CSV, Parquet and ORC and data sources like HDFS, S3, SFTP, Apache Iceberg etc
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Familiarity with other programming languages such as Java or Scala
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

Preferred qualifications, capabilities, and skills

  • Experience with big data technologies (e.g., Hadoop).
  • Knowledge of data governance and data security best practices.
  • Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).

Employment Type: Full Time, Permanent

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