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

Jobs

Interviews

Home
>
Jobs in Hyderabad
>
Blend360 India
>
Manager Data Engineer - AWS Databricks

Manager Data Engineer - AWS Databricks

Blend360 India

8 - 13 years

7 - 12 Lacs

Hyderabad

Posted:1 month ago| Platform:

Apply

Skills Required

Coding Engineering Manager Data processing Data quality Business intelligence Distribution system Analytics SQL Python Data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a seasoned

Data Engineering Manager

with 8+ years of experience to lead and grow our data engineering capabilities. This role demands strong hands-on expertise in

Python, SQL, Spark

, and advanced proficiency in

AWS

and

Databricks

. As a technical leader, you will be responsible for architecting and optimizing scalable data solutions that enable analytics, data science, and business intelligence across the organization.

Key Responsibilities:

Lead the design, development, and optimization of scalable and secure data pipelines using
AWS services
such as
Glue, S3, Lambda, EMR
, and
Databricks Notebooks
, Jobs, and Workflows.
Oversee the development and maintenance of
data lakes
on
AWS Databricks
, ensuring performance and scalability.
Build and manage robust
ETL/ELT
workflows using
Python
and
SQL
, handling both structured and semi-structured data.
Implement distributed data processing solutions using
Apache Spark
/
PySpark
for large-scale data transformation.
Collaborate with cross-functional teams including data scientists, analysts, and product managers to ensure data is accurate, accessible, and well-structured.
Enforce best practices for
data quality, governance, security
, and
compliance
across the entire data ecosystem.
Monitor system performance, troubleshoot issues, and drive continuous improvements in data infrastructure.
Conduct code reviews, define coding standards, and promote engineering excellence across the team.
Mentor and guide junior data engineers, fostering a culture of technical growth and innovation.

Qualifications

Requirements

8+ years of experience in data engineering with proven leadership in managing data projects and teams.
Expertise in
Python, SQL, Spark (PySpark)
, and experience with
AWS
and
Databricks
in production environments.
Strong understanding of modern data architecture, distributed systems, and cloud-native solutions.
Excellent problem-solving, communication, and collaboration skills.
Prior experience mentoring team members and contributing to strategic technical decisions is highly desirable.

More Jobs at Blend360 India

Senior Data Scientist - Forecasting

Hyderabad

5 - 7 yrs

INR 20 - 27 Lacs

Lead Data Engineer

Hyderabad

5 - 10 yrs

INR 15 - 30 Lacs

Lead Azure DevOps Engineer

Hyderabad

7 - 12 yrs

INR 15 - 25 Lacs

Lead Azure Data Engineer

Hyderabad

6 - 11 yrs

INR 15 - 25 Lacs

Senior AWS Data Engineer

Hyderabad

5 - 10 yrs

INR 15 - 30 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Business Intelligence 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.