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
- Solid 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

📌 Technical Lead (Mumbai)
🏢 dentsu
📍 Mumbai