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Data Engineer

LPL Financial
Hyderabad, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered Today

Full Job Posting

Job Responsibilities

  • Design, develop, and optimize scalable ETL/ELT processes to ingest, transform, and load data from various sources into system of record(SOR)
  • Build and maintain data pipelines using a variety of technologies (e.g., Python, SQL, cloud-native services like AWS Glue, Step Functions,Lamda,Kafka etc).
  • Collaborate with software enginners, data engineers, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
  • Implement data quality checks and monitoring to ensure accuracy, completeness, and reliability of data.
  • Optimize database performance and ensure data security and compliance with relevant regulations.
  • Troubleshoot and resolve data-related issues, ensuring data availability and integrity.
  • Participate in the design and architecture of data platforms, including data warehousing, data lake, and streaming solutions.
  • Document data models, data flows, and technical specifications.
  • Stay up-to-date with emerging data engineering technologies and best practices.
  • Job Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 3+ years of experience in data engineering, ETL development, or a similar role.
  • Strong proficiency in SQL and experience with relational databases (e.g. PostgreSQL, RDS).
  • Strong working Experience with AWS ecosystems and its data-related services.
  • Proficiency in a programming language commonly used for data engineering (e.g., Python, Java, Scala).
  • Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, Synapse).
  • Familiarity with data lake concepts and technologies (e.g., S3, iceberg).
  • Understanding of data modeling principles and best practices.
  • Experience with version control systems (e.g., Git).
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience working with AI tools including co-pilot, claude code is highly preferred.
  • Financial services industry experience is a plus.
  • LPL Global Business Services, LLP - PRIVACY POLICY

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, Synapse).
  • Familiarity with data lake concepts and technologies (e.g., S3, iceberg).
  • Experience with version control systems (e.g., Git).

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