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About the role
Job Description: 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 modern 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
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