Associate Developer – Data Engineering
IN, Bangalore
- Pay
- Pay not listed
- Work setting
Hybrid stated — work setting source
Detail-oriented, self-directed problem solver with strong analytical and multitasking skills, a strong interest in technology, and English fluency. Work Location: Hebbal, Bangalore (Karnataka), Hybrid Mode Supporting Your Well-being
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and maintain scalable data pipelines in the AWS Lake using AWS services and PySpark
Develop, test and support data models in AWS S3 using Spark SQL
Build and administer data ingestion frameworks in Databricks using PySpark and SQL
Create functional and technical design documents, data lineage, data dictionaries and metadata management
From the employer’s posting
Designing, developing, and maintaining scalable data pipelines with delta mechanism in the AWS Lake using AWS services and PySpark.
Analysing, designing, developing, testing, deploying, and supporting data models in AWS S3 using Spark SQL
Building and administering data ingestion frameworks in Databricks using PySpark and SQL
creating functional and technical design documents, data lineage, data dictionaries, and metadata management
Education & alternatives
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: - Bachelor’s degree or higher (completed and verified prior to start). - Two (2) to four (4) years of solid experience in data warehousing, including data pipelines and data modeling, particularly on AWS and Databricks platforms, in a private, public, government or military environment.
Tools in this posting
- Python
- SQL
- AWS
- Databricks
- S3
- Spark
- PySpark
Source — Tool mentions in context
Additional qualifications that could help you succeed even further in this role include: - Two (2) to three (3) years of strong experience in Python and PySpark with SQL scripting, plus hands-on experience with AWS services such as S3, Amazon EKS, Amazon EMR, CloudFormation, AWS Secrets Manager, Glue, and Athena. - Two (2) to three (3) years of solid experience with Databricks, including automated user provisioning, RBACs, ABACs, AI/ML, and workspace management, along with good experience in relational databases and concepts.
- Designing, developing, and maintaining scalable data pipelines with delta mechanism in the AWS Lake using AWS services and PySpark. - Analysing, designing, developing, testing, deploying, and supporting data models in AWS S3 using Spark SQL based on extracts from various sources and functional design specifications. - Building and administering data ingestion frameworks in Databricks using PySpark and SQL and managing Platform Engineering tasks.
- Analysing, designing, developing, testing, deploying, and supporting data models in AWS S3 using Spark SQL based on extracts from various sources and functional design specifications. - Building and administering data ingestion frameworks in Databricks using PySpark and SQL and managing Platform Engineering tasks. - Reviewing business requirements and creating functional and technical design documents, data lineage, data dictionaries, and metadata management, including SQL scripting.
- Building and administering data ingestion frameworks in Databricks using PySpark and SQL and managing Platform Engineering tasks. - Reviewing business requirements and creating functional and technical design documents, data lineage, data dictionaries, and metadata management, including SQL scripting. - Staying current with industry trends and best practices in data engineering, Databricks, AWS services, AWS Lakehouse, PySpark, and Athena while participating actively in local and global teams.
The Impact You’ll Make in this Role As an Associate Developer, Data Engineering, you will be part of the Data & Analytics Platform Engineering Team, designing, developing, testing, and supporting various platform foundational frameworks in Amazon Web Services (AWS) and Databricks. Here, you will make an impact by: - Designing, developing, and maintaining scalable data pipelines with delta mechanism in the AWS Lake using AWS services and PySpark.
As an Associate Developer, Data Engineering, you will be part of the Data & Analytics Platform Engineering Team, designing, developing, testing, and supporting various platform foundational frameworks in Amazon Web Services (AWS) and Databricks. Here, you will make an impact by: - Designing, developing, and maintaining scalable data pipelines with delta mechanism in the AWS Lake using AWS services and PySpark. - Analysing, designing, developing, testing, deploying, and supporting data models in AWS S3 using Spark SQL based on extracts from various sources and functional design specifications.
- Reviewing business requirements and creating functional and technical design documents, data lineage, data dictionaries, and metadata management, including SQL scripting. - Staying current with industry trends and best practices in data engineering, Databricks, AWS services, AWS Lakehouse, PySpark, and Athena while participating actively in local and global teams. Your Skills and Expertise
- Bachelor’s degree or higher (completed and verified prior to start). - Two (2) to four (4) years of solid experience in data warehousing, including data pipelines and data modeling, particularly on AWS and Databricks platforms, in a private, public, government or military environment. Additional qualifications that could help you succeed even further in this role include:
- Two (2) to three (3) years of strong experience in Python and PySpark with SQL scripting, plus hands-on experience with AWS services such as S3, Amazon EKS, Amazon EMR, CloudFormation, AWS Secrets Manager, Glue, and Athena. - Two (2) to three (3) years of solid experience with Databricks, including automated user provisioning, RBACs, ABACs, AI/ML, and workspace management, along with good experience in relational databases and concepts. - Extensive working knowledge of one or more business processes such as sales, finance, supply chain, manufacturing, or Master Data.
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 14, 2026 · 8 days ago
- Recorded sightings
- 31
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description:
Collaborate with Innovative 3Mers Around the World
Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.
The Impact You’ll Make in this Role
As an Associate Developer, Data Engineering, you will be part of the Data & Analytics Platform Engineering Team, designing, developing, testing, and supporting various platform foundational frameworks in Amazon Web Services (AWS) and Databricks. Here, you will make an impact by:
- Designing, developing, and maintaining scalable data pipelines with delta mechanism in the AWS Lake using AWS services and PySpark.
- Analysing, designing, developing, testing, deploying, and supporting data models in AWS S3 using Spark SQL based on extracts from various sources and functional design specifications.
- Building and administering data ingestion frameworks in Databricks using PySpark and SQL and managing Platform Engineering tasks.
- Reviewing business requirements and creating functional and technical design documents, data lineage, data dictionaries, and metadata management, including SQL scripting.
- Staying current with industry trends and best practices in data engineering, Databricks, AWS services, AWS Lakehouse, PySpark, and Athena while participating actively in local and global teams.
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
- Bachelor’s degree or higher (completed and verified prior to start).
- Two (2) to four (4) years of solid experience in data warehousing, including data pipelines and data modeling, particularly on AWS and Databricks platforms, in a private, public, government or military environment.
Additional qualifications that could help you succeed even further in this role include:
- Two (2) to three (3) years of strong experience in Python and PySpark with SQL scripting, plus hands-on experience with AWS services such as S3, Amazon EKS, Amazon EMR, CloudFormation, AWS Secrets Manager, Glue, and Athena.
- Two (2) to three (3) years of solid experience with Databricks, including automated user provisioning, RBACs, ABACs, AI/ML, and workspace management, along with good experience in relational databases and concepts.
- Extensive working knowledge of one or more business processes such as sales, finance, supply chain, manufacturing, or Master Data.
- Detail-oriented, self-directed problem solver with strong analytical and multitasking skills, a strong interest in technology, and English fluency.
Work Location: Hebbal, Bangalore (Karnataka), Hybrid Mode
Supporting Your Well-being
3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
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Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
IN, Bangalore
- Detail-oriented, self-directed problem solver with strong analytical and multitasking skills, a strong interest in technology, and English fluency. Work Location: Hebbal, Bangalore (Karnataka), Hybrid Mode Supporting Your Well-being
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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