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TRCD-26-04836
AWS Data Engineer / Cloud Data Engineer (Python/PySpark, ETL, SQL Server)
Contract role in Bangalore for a 6–8 years hands-on engineer to lead and deliver cloud-native data solutions on AWS. The focus is building and deploying data pipelines for ingestion, migration and transformation using Python/PySpark and AWS services (compute, storage, databases, orchestration, ETL/analytics, infra). Strong SQL Server and stored procedures are required; APIs/SSO/streaming are nice-to-have.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
Contract role in Bangalore for a 6–8 years hands-on engineer to lead and deliver cloud-native data solutions on AWS. The focus is building and deploying data pipelines for ingestion, migration and transformation using Python/PySpark and AWS services (compute, storage, databases, orchestration, ETL/analytics, infra). Strong SQL Server and stored procedures are required; APIs/SSO/streaming are nice-to-have.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
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4-6 years of hands on experience in development and deployment of cloud native solutions leveraging AWS Services: Compute(EC2, Lambda), Storage (S3), Database (RDS, Aurora, Postgres, DynamoDB), Orchestration (Apache Airflow, Step Function, SNS),
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ETL/Analytics(Glue, EMR, Athena, Redshift), Infra (Cloud Formation, Code Pipeline), Data Migration (AWS DataSync, AWS DMS), APIGateway, IAM etc.
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Expertise in the handling large data sets and data models in terms of design, data model creation, development of data pipeline for data ingestion, migration and transformation?
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Strong on SQL Server, stored procedure
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Knowledge on API's, SSO, streaming technology will be nice to have
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
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Python
Required
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PySpark
Required
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AWS
Required
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EC2
Required
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Lambda
Required
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S3
Required
07
RDS
Required
08
Aurora
Required
09
PostgreSQL
Required
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DynamoDB
Required
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Apache Airflow
Required
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Step Functions
Required
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SNS
Required
14
Glue
Required
15
EMR
Required
16
Athena
Required
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Redshift
Required
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CloudFormation
Required
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CodePipeline
Required
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DataSync
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
6-8 years hands-on development with Python and/or PySpark
4-6 years building and deploying cloud-native solutions on AWS
AWS compute: EC2, Lambda
AWS storage: S3
AWS databases: RDS, Aurora, PostgreSQL, DynamoDB
AWS orchestration: Apache Airflow, Step Functions, SNS
AWS ETL/analytics: Glue, EMR, Athena, Redshift
AWS infrastructure/CI-CD: CloudFormation, CodePipeline
AWS data migration: DataSync, DMS
API Gateway
IAM
Large dataset handling and data modeling (design, model creation)
Data pipeline development for ingestion, migration, transformation
Strong SQL Server and stored procedures
Preferred
Nice to Have
APIs (general knowledge)
SSO (Single Sign-On)
Streaming technology
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for AWS Data Engineer / Cloud Data Engineer (Python/PySpark, ETL, SQL Server)
One page, about two minutes. We only ask for what we actually need to have a first conversation.