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Lead Data Engineer (AWS, Data Pipelines)

Hyderabad, India

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Build, develop, and maintain data pipelines on AWS alongside Snowflake

  • Develop programming solutions in Python and/or TypeScript

  • Write complex SQL queries and lead Power BI reports and dashboards

  • Perform automated testing and pipeline automation with CI/CD tools

  • Lead and mentor a small team, guiding technical decisions

From the employer’s posting
Build, develop, and maintain data pipelines through AWS cloud offerings alongside Snowflake.
Develop programming solutions using Python and/or TypeScript.
Create complex SQL queries and lead Power BI reports, dashboards, and visualizations.
Perform automated testing, pipeline automation, and apply CI/CD tools.
Mentor team members, providing technical guidance and support.

What you’ll bring

All qualifications

Core experience

  • 7-9 years of relevant experience
  • Strong hands-on experience building and supporting data pipelines
  • Strong practical experience with AWS services for data engineering
  • Strong Python and/or TypeScript programming skills
  • Strong SQL skills, including advanced query development
Qualification wording
7-9 years of relevant experience
Strong hands-on experience in building and supporting data pipelines.
Strong practical experience with AWS services, particularly services used for data engineering.
Strong programming skills in Python and/or TypeScript.
Strong SQL skills, including advanced query development.

Tools in this posting

  • Python
  • SQL
  • TypeScript
  • AWS
  • DynamoDB
  • Power BI
  • S3
  • Snowflake
Source — Tool mentions in context
What You'll Do Lead Data Engineer Position Are you ready to lead a dynamic team and drive impactful data engineering solutions? At Principal, we offer an outstanding opportunity for an ambitious Lead Data Engineer to join our Enterprise Architecture engineering team. Here, you will work on groundbreaking projects, using automation, CI/CD, and Agile delivery approaches to deliver detailed results. Key Responsibilities As a Lead Data Engineer (AWS, Data pipelines, Python or Typescript), your responsibilities will include: Support data management, LeanIX platform configurations and integrations, and application development. Build, develop, and maintain data pipelines through AWS cloud offerings alongside Snowflake. Maintain data using Snowflake data products. Coordinate and refine database updates using SQL, Snowflake technologies, and version control techniques. Apply AWS services including Lambda, S3, SNS, SQS, IAM, EventBridge, DynamoDB, KMS, and CloudWatch. Quickly grasp and adjust to new AWS services and developing cloud technologies. Create complex SQL queries and lead Power BI reports, dashboards, and visualizations. Develop programming solutions using Python and/or TypeScript. Perform automated testing, pipeline automation, and apply CI/CD tools. Work within Agile methodologies to ensure efficient project delivery. Exhibit leadership capabilities, leading the work for a small team. Mentor team members, providing technical guidance and support. Evaluate build options, making sound technical decisions and trade-offs. Collaborate effectively with collaborators and Enterprise Architects. Potentially handle LeanIX platform administration, maintenance, and integrations. Required Skills and Experience To be successful in this role, you should have: Must Have / Primary Skills AWS & Data Engineering Strong hands-on experience in building and supporting data pipelines. Strong practical experience with AWS services, particularly services used for data engineering. Experience with data integration and database changes. Programming & SQL Strong programming skills in Python and/or TypeScript. Strong SQL skills, including advanced query development. Testing, CI/CD & Agile Experience with automated testing. Experience with Continuous Integration and Continuous Delivery (CI/CD) tools and practices. Experience working in an Agile environment. Leadership & Collaboration Ability to lead, mentor, and develop team members. Strong communication and collaboration skills. Ability to work effectively with technical and business stakeholders. Good to Have Snowflake Working knowledge or practical experience with Snowflake. Experience working with Snowflake databases and database/schema changes would be an advantage. Power BI Experience with Power BI. Experience building and supporting reports and dashboards would be an advantage. Key Primary Skills: AWS, Data Engineering/Data Pipelines, Python and/or TypeScript, SQL, CI/CD, Automated Testing, and Agile. Who You Are Qualifications 7-9 years of relevant experience. Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Technology, Engineering, Mathematics, or a related field (B.E. / B.Tech / M.S. / M.Tech / MCA). Location: Hyderabad & Pune Additional Information Why Principal? At Principal, we believe in encouraging a collaborative and welcoming environment where everyone's input is appreciated. We are committed to your professional development and assist our team members in reaching their personal and career ambitions. Join us and become part of a world-class team that is making an impact!

Posting record

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Open 3 monthsWe first saw this posting 104 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 16, 2026 · 104 days ago
Recorded sightings
162
Last seen by us
Oct 28, 2026

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Job description

View original posting ↗

What You'll Do Lead Data Engineer Position Are you ready to lead a dynamic team and drive impactful data engineering solutions? At Principal, we offer an outstanding opportunity for an ambitious Lead Data Engineer to join our Enterprise Architecture engineering team. Here, you will work on groundbreaking projects, using automation, CI/CD, and Agile delivery approaches to deliver detailed results. Key Responsibilities As a Lead Data Engineer (AWS, Data pipelines, Python or Typescript), your responsibilities will include: Support data management, LeanIX platform configurations and integrations, and application development. Build, develop, and maintain data pipelines through AWS cloud offerings alongside Snowflake. Maintain data using Snowflake data products. Coordinate and refine database updates using SQL, Snowflake technologies, and version control techniques. Apply AWS services including Lambda, S3, SNS, SQS, IAM, EventBridge, DynamoDB, KMS, and CloudWatch. Quickly grasp and adjust to new AWS services and developing cloud technologies. Create complex SQL queries and lead Power BI reports, dashboards, and visualizations. Develop programming solutions using Python and/or TypeScript. Perform automated testing, pipeline automation, and apply CI/CD tools. Work within Agile methodologies to ensure efficient project delivery. Exhibit leadership capabilities, leading the work for a small team. Mentor team members, providing technical guidance and support. Evaluate build options, making sound technical decisions and trade-offs. Collaborate effectively with collaborators and Enterprise Architects. Potentially handle LeanIX platform administration, maintenance, and integrations. Required Skills and Experience To be successful in this role, you should have: Must Have / Primary Skills AWS & Data Engineering Strong hands-on experience in building and supporting data pipelines. Strong practical experience with AWS services, particularly services used for data engineering. Experience with data integration and database changes. Programming & SQL Strong programming skills in Python and/or TypeScript. Strong SQL skills, including advanced query development. Testing, CI/CD & Agile Experience with automated testing. Experience with Continuous Integration and Continuous Delivery (CI/CD) tools and practices. Experience working in an Agile environment. Leadership & Collaboration Ability to lead, mentor, and develop team members. Strong communication and collaboration skills. Ability to work effectively with technical and business stakeholders. Good to Have Snowflake Working knowledge or practical experience with Snowflake. Experience working with Snowflake databases and database/schema changes would be an advantage. Power BI Experience with Power BI. Experience building and supporting reports and dashboards would be an advantage. Key Primary Skills: AWS, Data Engineering/Data Pipelines, Python and/or TypeScript, SQL, CI/CD, Automated Testing, and Agile. Who You Are Qualifications 7-9 years of relevant experience. Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Technology, Engineering, Mathematics, or a related field (B.E. / B.Tech / M.S. / M.Tech / MCA). Location: Hyderabad & Pune Additional Information Why Principal? At Principal, we believe in encouraging a collaborative and welcoming environment where everyone's input is appreciated. We are committed to your professional development and assist our team members in reaching their personal and career ambitions. Join us and become part of a world-class team that is making an impact!
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