Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home

Jobs

Home
>
Jobs in Hyderabad
>
Data Economy
>
Lead/Senior Data Engineer

Lead/Senior Data Engineer

Data Economy

3 - 6 years

11 - 12 Lacs

Hyderabad

Posted:3 hours ago| Platform:

Apply

Skills Required

Architecture Data modeling Data processing Data quality Apache Analytics Financial services SQL Python Technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly experienced and hands-on Lead/ Senior Data Engineer to architect, develop, and optimize data solutions in a cloud-native environment. The ideal candidate will have 712 years of strong technical expertise in AWS Glue, PySpark, and Python , along with experience designing robust data pipelines and frameworks for large-scale enterprise systems. Prior exposure to the financial domain or regulated environments is a strong advantage.
Key Responsibilities:

Solution Architecture : Design scalable and secure data pipelines using AWS Glue, PySpark, and related AWS services (EMR, S3, Lambda, etc.)

Leadership & Mentorship : Guide junior engineers, conduct code reviews, and enforce best practices in development and deployment.

ETL Development : Lead the design and implementation of end-to-end ETL processes for structured and semi-structured data.

Framework Building : Develop and evolve data frameworks, reusable components, and automation tools to improve engineering productivity.

Performance Optimization : Optimize large-scale data workflows for performance, cost, and reliability.

Data Governance : Implement data quality, lineage, and governance strategies in compliance with enterprise standards.

Collaboration : Work closely with product, analytics, compliance, and DevOps teams to deliver high-quality solutions aligned with business goals.

CI/CD Automation : Set up and manage continuous integration and deployment pipelines using AWS CodePipeline, Jenkins, or GitLab.

Documentation & Presentations : Prepare technical documentation and present architectural solutions to stakeholders across levels.

Requirements Required Qualifications:

7-12 years of experience in data engineering or related fields.

Strong expertise in Python programming with a focus on data processing.

Extensive experience with AWS Glue (both Glue Jobs and Glue Studio/Notebooks).

Deep hands-on experience with PySpark for distributed data processing.

Solid AWS knowledge : EMR, S3, Lambda, IAM, Athena, CloudWatch, Redshift, etc.

Proven experience in architecture and managing complex ETL workflows .

Proficiency with Apache Airflow or similar orchestration tools.

Hands-on experience with CI/CD pipelines and DevOps best practices.

Familiarity with data quality , data lineage , and metadata management .

Strong experience working in agile/scrum teams.

Excellent communication and stakeholder engagement skills.
Preferred/Good to Have:

Experience in financial services, capital markets, or compliance systems .

Knowledge of data modeling , data lakes , and data warehouse architecture .

Familiarity with SQL (Athena/Presto/Redshift Spectrum).

Exposure to ML pipeline integration or event-driven architecture is a plus.

Benefits

Flexible work culture and remote options

Opportunity to lead cutting-edge cloud data engineering projects

Skill-building in large-scale, regulated environments.

","

More Jobs at Data Economy

Senior Data Scientist

Hyderabad

6 - 11 yrs

INR 30 - 35 Lacs

AWS PySpark Data Engineer

Hyderabad

1 - 3 yrs

INR 3 - 6 Lacs

Java Full Stack Developer

Hyderabad

5 - 10 yrs

INR 7 - 12 Lacs

AWS Pyspark Data Engineer

Pune

5 - 10 yrs

INR 7 - 12 Lacs

Lead/Sr. ETL Data Engineer

Hyderabad

5.0 - 10.0 yrs

INR 15 - 30 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Data Economy

IT Services and IT Consulting

Data City

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Lead/Senior Data Engineer