Technical Lead at Merkle | AdTechTalent
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Merkle
Technical Lead
AWS data engineering data pipelines SQL Python PySpark Spark Terraform CloudFormation Docker ECS EKS Kinesis Kafka MSK data lakes data warehouses CI/CD performance tuning cost optimization data modeling cloud-native streaming batch processing DevOps infrastructure as code
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Join Merkle and work on a role built for experienced AdTech operators.
Full job description Seeking a Technical Architect (AWS Data Engineering Lead) with 6-10 years experience to design and deliver scalable, secure, high-performance data platforms on AWS. Requires strong hands-on skills with AWS services (S3, Glue, Athena, Redshift), SQL, Python, and PySpark. Responsibilities include designing cloud-native data lakes and warehouses, building batch and streaming data pipelines, performance tuning, cost optimization, troubleshooting, and collaborating with global teams. Must have experience with Infrastructure as Code (Terraform/CloudFormation), CI/CD pipelines, containerization (Docker, ECS, EKS), and strong ownership mindset. Preferred certifications include AWS Certified Data Analytics and AWS Solutions Architect. Location: Mumbai, India.
What you'll do Design and implement AWS-based data engineering solutions Build and optimize batch and streaming pipelines Develop SQL-driven data transformations and Python-based pipelines Similar jobs
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Design efficient data models for scalability, performance, and cost optimization
Own data engineering deliverables from development to production support
Perform performance tuning, cost optimization, and capacity planning
Troubleshoot complex data and production issues
Ensure solutions meet security, reliability, and scalability standards
Collaborate with architects, product owners, and stakeholders
Translate business requirements into technical data solutions
Provide technical estimates and implementation trade-offs
Participate in solution design and architecture discussions
Follow coding standards and data engineering best practices
Participate in code reviews and continuous improvement initiatives
Ensure compliance with AWS, security, and governance guidelines Requirements 6 to 10 years of experience in AWS data engineering 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 Strong expertise in SQL including complex transformations, aggregations, and performance tuning Strong Python programming skills for data engineering use cases Hands-on experience with Spark / PySpark Experience with distributed processing frameworks Experience with Infrastructure as Code (Terraform / CloudFormation) Hands-on experience building CI/CD pipelines for data platforms Exposure to containerization (Docker, ECS, EKS) Strong ownership mindset and excellent communication skills Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or related field Preferred certifications: AWS Certified Data Analytics, AWS Solutions Architect (any two preferred) Additional certifications: Databricks, Snowflake or other cloud data platform certifications Tech stack AWS Amazon S3 AWS Glue Athena Redshift SQL Python PySpark Spark Terraform CloudFormation Docker ECS EKS Kinesis Kafka MSK Databricks Snowflake
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Company
Merkle Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.
Industry
Business Consulting and Services
Website
https://www.merkle.com
Posted
2 months ago
Category: Data Science
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