Time since we first saw it
Day 11
Similar jobs usually come down between day 6 and day 56.
At ProcDNA, jobs usually come down by about day 21.
From 13,630 similar postings that came down, and 5 of ProcDNA’s. Coming down is not always a hire.
[India] - Cloud Data Engineer
Gurugram, India
Actively hiring, first seen by us 11 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, develop, and maintain scalable ETL/ELT pipelines using Databricks and AWS/Azure
Implement transformation logic, validation rules, and data quality checks
Develop data models, schemas, and warehouse structures for analytics and reporting
Monitor and optimize pipelines for performance, reliability, and cost in the cloud
Ensure data governance, security, and compliance across processing and storage layers
From the employer’s posting
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and cloud platforms (AWS/Azure).
Implement data transformation logic, validation rules, and data quality checks
Develop and manage data models, schemas, and data warehouse structures to enable seamless data consumption for analytics and reporting.
Monitor, troubleshoot, and continuously optimize data pipelines for performance, scalability, reliability, and cost efficiency in cloud environments.
Ensure adherence to data governance, security, and compliance standards across all data processing and storage layers.
What you’ll bring
All qualificationsCore experience
- Hands-on experience with AWS or Azure, along with strong programming skills in Python and SQL, and a solid understanding of ETL/ELT processes, data warehousing, and data modeling is essential.
- Strong communication skills, a collaborative mindset, and the ability to work effectively with cross-functional teams are key expectations.
Preferred experience
- Experience with orchestration, exposure to batch or real-time processing, and familiarity with CI/CD, Git, and basic DevOps/DataOps practices is desirable.
Qualification wording
Looking for a motivated Cloud Data Engineer with 5–7 years of experience to design, develop, and maintain scalable data pipelines and cloud-based platforms. Hands-on experience with AWS or Azure, along with strong programming skills in Python and SQL, and a solid understanding of ETL/ELT processes, data warehousing, and data modeling is essential. Experience with orchestration, exposure to batch or real-time processing, and familiarity with CI/CD, Git, and basic DevOps/DataOps practices is desirable. Strong communication skills, a collaborative mindset, and the ability to work effectively with cross-functional teams are key expectations.
About ProcDNA
We fuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 202611 days ago
- Recorded sightings
- 12
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ProcDNA is hiring
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- Airflow
Where the posting names them
What we are looking for Looking for a motivated Cloud Data Engineer with 5–7 years of experience to design, develop, and maintain scalable data pipelines and cloud-based platforms. Hands-on experience with AWS or Azure, along with strong programming skills in Python and SQL, and a solid understanding of ETL/ELT processes, data warehousing, and data modeling is essential. Experience with orchestration, exposure to batch or real-time processing, and familiarity with CI/CD, Git, and basic DevOps/DataOps practices is desirable. Strong communication skills, a collaborative mindset, and the ability to work effectively with cross-functional teams are key expectations. What you'll do
- Minimum 5-7 years of experience in a Data Engineering role with a B.Tech/BE or equivalent technical background. - Strong programming skills in Python and SQL with experience in building and optimizing data pipelines. - Hands-on experience building ETL/ELT pipelines and cloud data services (Azure or AWS).
What you'll do - Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and cloud platforms (AWS/Azure). - Implement data transformation logic, validation rules, and data quality checks to ensure accuracy, consistency, and reliability of datasets.
- Strong programming skills in Python and SQL with experience in building and optimizing data pipelines. - Hands-on experience building ETL/ELT pipelines and cloud data services (Azure or AWS). - Experience working with Databricks or similar distributed data processing frameworks (e.g., AWS Glue).
- Hands-on experience building ETL/ELT pipelines and cloud data services (Azure or AWS). - Experience working with Databricks or similar distributed data processing frameworks (e.g., AWS Glue). - Familiarity with workflow orchestration tools like Airflow and version control systems such as Git.
- Experience working with Databricks or similar distributed data processing frameworks (e.g., AWS Glue). - Familiarity with workflow orchestration tools like Airflow and version control systems such as Git. - Experience handling large datasets, implementing data quality checks, and understanding data ingestion, storage, and consumption architectures.
Your next step
Complete your application on procdna.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About ProcDNA
ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 475+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged; it's ingrained in our DNA. Ready to join our epic growth journey?
What we are looking for
Looking for a motivated Cloud Data Engineer with 5–7 years of experience to design, develop, and maintain scalable data pipelines and cloud-based platforms. Hands-on experience with AWS or Azure, along with strong programming skills in Python and SQL, and a solid understanding of ETL/ELT processes, data warehousing, and data modeling is essential. Experience with orchestration, exposure to batch or real-time processing, and familiarity with CI/CD, Git, and basic DevOps/DataOps practices is desirable. Strong communication skills, a collaborative mindset, and the ability to work effectively with cross-functional teams are key expectations.
What you'll do
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and cloud platforms (AWS/Azure).
- Implement data transformation logic, validation rules, and data quality checks to ensure accuracy, consistency, and reliability of datasets.
- Develop and manage data models, schemas, and data warehouse structures to enable seamless data consumption for analytics and reporting.
- Monitor, troubleshoot, and continuously optimize data pipelines for performance, scalability, reliability, and cost efficiency in cloud environments.
- Ensure adherence to data governance, security, and compliance standards across all data processing and storage layers.
- Collaborate closely with cross-functional teams to deliver scalable, high-quality, and business-aligned data solutions.
Must Have
- Minimum 5-7 years of experience in a Data Engineering role with a B.Tech/BE or equivalent technical background.
- Strong programming skills in Python and SQL with experience in building and optimizing data pipelines.
- Hands-on experience building ETL/ELT pipelines and cloud data services (Azure or AWS).
- Experience working with Databricks or similar distributed data processing frameworks (e.g., AWS Glue).
- Familiarity with workflow orchestration tools like Airflow and version control systems such as Git.
- Experience handling large datasets, implementing data quality checks, and understanding data ingestion, storage, and consumption architectures.
- Good understanding of data quality, monitoring, and basic DevOps/DataOps practices, along with strong problem-solving and communication skills.
- Client and Stakeholder management along with Team Management experience is mandatory.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.