Job Description:
Job Description
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Business Title
Data Engineer
Years of Experience
Min 3 and max upto 7.
Job Descreption
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.
Must have skills
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 skills
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 responsibiltes
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
Education Qulification
1. Bachelor’s or Master Degree or equivalent Degree
Certification If Any
1.AWS Certified Solutions Architect / DevOps – Professional
2. Snowflake Core
Shift timing
12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone
Location:
DGS India - Pune - Indiqube OrchidBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- Minimum 3 years and maximum 7 years of relevant experience
- Bachelor's or master's degree, or equivalent
- Strong hands-on experience with AWS data services, including Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, and Amazon EMR
- Experience designing cloud-native data lakes and data warehouse architectures
- Strong SQL skills, including complex queries, joins, aggregations, transformations, and large-dataset processing
- Strong Python skills for data engineering and ETL use cases
- Experience building batch data pipelines and basic exposure to streaming concepts
- Experience with distributed data processing frameworks such as Spark or PySpark
- Understanding of data modeling, transformations, and performance tuning
- Experience handling structured and semi-structured data
- Understanding of schema evolution, data quality checks, and validation logic
- Working knowledge of Infrastructure as Code using Terraform or CloudFormation
- Basic experience with CI/CD pipelines for data workloads
- Understanding of logging and monitoring using CloudWatch
- AWS Certified Solutions Architect or DevOps Professional certification
- Snowflake Core certification
- Exposure to Amazon Kinesis or Kafka
- Familiarity with lakehouse and modern data platform patterns
- Experience integrating AWS data platforms with BI or reporting tools
- 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 or machine learning
What We Do
Dentsu Creative is a global creative agency network designed to unlock exponential growth for clients. We use Transformative Creativity as a differentiating, driving force to bring our capabilities together to positively impact people, business and society. Established in 2022, Dentsu Creative is integrated with dentsu’s Media and CXM businesses in over 145 countries and regions, to offer Integrated Growth Solutions.
