Data Engineer
dentsuaegis· Dentsu Global Services Private Limited
About this role
Looking for a hands‑on Senior Data Engineer – AWS with experience to development, build, and maintain scalable, secure, and high‑performance data platforms on AWS.
This is an individual contributor role focused on data pipeline development, cloud data engineering, and analytics enablement. The role requires strong hands‑on skills in AWS data services, SQL, and Python, along with experience building reliable batch and streaming data pipelines in a global delivery environment.
This is an individual contributor role focused on data pipeline development, cloud data engineering, and analytics enablement. The role requires strong hands‑on skills in AWS data services, SQL, and Python, along with experience building reliable batch and streaming data pipelines in a global delivery environment.
Job Description:
Min 3 and max upto 5.
Must Have
'Cloud & Data Engineering (AWS)
Must Have
'Cloud & Data Engineering (AWS)
Strong hands‑on experience with AWS data services, including:
- Amazon S3
- AWS Glue
- Amazon Athena
- Amazon Redshift
- Amazon EMR
Experience designing cloud‑native data lakes and data warehouse architectures
Solid understanding of batch data pipelines and basic exposure to streaming concepts
SQL & Python (Mandatory)
Strong SQL skills (mandatory)
Writing complex queries, joins, aggregations, and transformations
Experience working with large datasets in Redshift / Athena
Strong Python skills (mandatory)
Python for data engineering and ETL use cases
Experience with PySpark / Spark is a strong plus
Good understanding of data modeling, transformations, and performance tuning
Data Processing & Engineering
Hands‑on experience with distributed data processing frameworks (Spark / PySpark)
Experience handling structured and semi‑structured data
Understanding of schema evolution, data quality checks, and validation logic
DevOps & Platform Basics
Working knowledge of Infrastructure as Code (Terraform and/or CloudFormation)
Basic experience with CI/CD pipelines for data workloads
Understanding of logging and monitoring using CloudWatch
Collaboration
Ability to work closely with architects, DevOps, QA, and business stakeholders
Good communication skills to explain technical concepts clearly
Good to Have
Key Responsibilities
Exposure to streaming technologies such as Amazon Kinesis or Kafka
Familiarity with Lakehouse and modern data platform patterns
Experience integrating AWS data platforms with BI / reporting tools
Basic knowledge of data governance, data quality, and metadata concepts
Awareness of AWS cost optimization best practices
Experience working in Agile delivery models, with global clients
Exposure to AI / ML
Key Responsibilities
Data Engineering & Development
Design and build scalable ETL / ELT pipelines on AWS
Develop SQL‑based data transformations and Python‑based data pipelines
Implement data ingestion pipelines using AWS services such as S3, Glue, EMR
Build data models optimized for analytics, performance, and cost efficiency
Platform & Operations
Support deployment and execution of data pipelines across environments
Monitor pipeline performance, reliability, and data quality
Troubleshoot data pipeline issues and perform root‑cause analysis
Apply best practices for security, reliability, and scalability
Collaboration & Delivery
Work closely with architects and product teams to understand requirements
Translate business and analytics needs into working AWS data solutions
Contribute to documentation, code reviews, and engineering standards
Location:
DGS India - Pune - Indiqube OrchidBrand:
MerkleTime Type:
Full timeContract Type:
PermanentFrequently Asked Questions
Is the salary disclosed for the Data Engineer position at dentsuaegis?
The salary for this Data Engineer role at dentsuaegis is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer position at dentsuaegis located?
This Data Engineer role at dentsuaegis is based in DGS India - Pune - Indiqube Orchid, Mumbai, New delhi. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer role at dentsuaegis full-time or part-time?
This is listed as a Full time position. It is posted as a Data Engineer role in the Dentsu Global Services Private Limited department at dentsuaegis.
Which team or department does the Data Engineer at dentsuaegis belong to?
This Data Engineer position is part of the Dentsu Global Services Private Limited department at dentsuaegis. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer position at dentsuaegis?
Click the "Apply Now" button on this page. You will be redirected to dentsuaegis's official application portal hosted on workday where you can submit your application directly.
When was the Data Engineer job at dentsuaegis posted?
This Data Engineer position at dentsuaegis was posted on Sep 11, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer
dentsuaegis
You'll be redirected to dentsuaegis's official application page on Workday.