: Must-Have Skills

Cloud & Data Engineering (AWS)

- Strong hands-on experience with:
- Amazon S3, AWS Glue, Athena, Redshift
- Experience designing cloud-native data lakes and data warehouses
- Deep understanding of batch and streaming data pipelines
- Experience building scalable and fault-tolerant data workflows

SQL & Python (Mandatory)

- Strong expertise in SQL, including:

- Complex transformations and aggregations
- Performance tuning and analytics queries
- Experience working with large-scale datasets in Redshift/Athena
- Strong Python programming skills for data engineering use cases

PySpark / Spark Processing

- Hands-on experience with Spark / PySpark
- Build reusable ETL components and utilities

- Strong understanding of

- Data modeling

- Transformations

- Performance optimization

Data Processing & Engineering

- Experience with distributed processing frameworks (Spark/PySpark)
- Handling structured, semi-structured, and unstructured data

- Expertise in

- Schema design

- Partitioning

- Query optimization

DevOps & Platform Engineering

- Experience with Infrastructure as Code (Terraform / CloudFormation)
- Hands-on experience in building CI/CD pipelines for data platforms
- Exposure to containerization (Docker, ECS, EKS)





Collaboration & Ownership

- Strong ownership mindset for:

- Solution quality

- Performance

- Production stability
- Excellent communication and stakeholder collaboration skills

Good-to-Have Skills

- Experience with streaming technologies (Kinesis, Kafka, MSK)
- Exposure to Lakehouse architectures and up-to-date data platforms
- Integration with BI and analytics tools

- Knowledge of

- Data governance

- Data quality frameworks

- Metadata management
- Familiarity with FinOps (cost optimization on AWS)
- Exposure to Marketing/Customer Data Platforms (CDP / MarTech)
- Experience working in Agile delivery models with global teams

Education Qualification

- Bachelor’s or master’s degree in:

- Computer Science

- Information Systems
- Data Engineering
- or related field

Certifications

- Preferred:

- AWS Certified Data Analytics

- AWS Solutions Architect

(Any two preferred)
- Plus:

- Databricks
- Snowflake or other cloud data platform certifications

Location: DGS India - Mumbai - Goregaon Prism Tower

Brand: Merkle

Time Type: Full time

Contract Type: Permanent#DGS

📌 Technical Lead (AWS Data Engineering Lead) (Mumbai)
🏢 Dentsu Global Services
📍 Mumbai