Data Engineer

LPL Financial LLC; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Flexible work hours

Job summary

LPL Financial LLC in Hyderabad seeks a skilled Data Engineer to design, develop, and maintain robust data pipelines and infrastructure for efficient data flows and analytics. You will build ETL/ELT processes, collaborate with engineers and analysts, and ensure data quality across enterprise datasets.

The role requires 3+ years in data engineering, strong SQL, AWS experience, and proficiency in Python/Java/Scala. Hyderabad-based, with a focus on scalable data platforms and governance.

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.

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.

Skills

SQL proficiency

Python/Java/Scala

AWS data services

ETL/ELT design

Data modeling

Data warehousing

Education

Bachelor's in CS/Engineering

Tools

PostgreSQL

Snowflake/Redshift

S3

Git

Job description

Where Ambition Meets Innovation At LPL’s Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad. Join us as we create something extraordinary together.

Job Summary

LPL Financial is seeking a skilled Data Engineer to design, develop, and maintain robust data pipelines and infrastructure, enabling efficient data flow and accessibility for critical business operations and analytics.

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.

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