Technical Lead at Merkle | AdTechTalent
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Merkle
Technical Lead
AWS data engineering data pipelines SQL Python PySpark Spark Terraform CloudFormation Docker CI/CD data lakes data warehouse performance tuning streaming batch processing data modeling Kinesis Kafka MSK Databricks Snowflake cloud ETL Agile
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Join Merkle and work on a role built for experienced AdTech operators.
Full job description Looking for a hands-on AWS Technical Lead – Data Engineering with 6 to 10 years of experience to design and deliver scalable, secure, and high-performance data platforms on AWS. Requires expertise in AWS data services (Amazon S3, AWS Glue, Athena, Redshift), SQL, Python, and building reliable data pipelines. Responsibilities include designing AWS-based data engineering solutions, building batch and streaming pipelines, developing SQL and Python data pipelines, performance tuning, troubleshooting, and collaborating with global teams. Must have experience with Infrastructure as Code (Terraform/CloudFormation), CI/CD pipelines, containerized workloads (Docker, ECS/EKS), and strong communication skills. Bachelor’s or Master’s degree in relevant field required. AWS Data Analytics or Solutions Architect certification preferred. Shift timings: 12 PM to 9 PM or 2 PM to 11 PM IST.
What you'll do Design and implement AWS-based data engineering solutions aligned to enterprise standards Build and optimize batch and streaming data pipelines using AWS native and open-source tools Similar jobs
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Develop SQL-driven transformations and Python-based data pipelines for analytics use cases
Design efficient data models for performance, scalability, and cost effectiveness
Own data engineering deliverables from development through production support
Perform performance tuning, cost optimization, and capacity planning
Troubleshoot complex data pipeline and production issues including root-cause analysis
Ensure solutions meet requirements for security, reliability, and scalability
Work closely with architects, product owners, and client stakeholders
Translate business and analytics requirements into robust AWS data engineering solutions
Provide clear technical inputs, estimates, and implementation trade-offs
Contribute to solution discussions and technical design reviews
Follow and contribute to coding standards, documentation, and data engineering best practices
Participate in code reviews and continuous improvement initiatives
Ensure adherence to AWS, security, and compliance guidelines Requirements 6 to 10 years of total experience Strong hands-on experience with AWS data services including Amazon S3, AWS Glue, Athena, Redshift Experience designing cloud-native data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Strong SQL expertise with complex transformations, aggregations, performance tuning, and analytics Strong Python programming skills for data engineering use cases Experience with PySpark/Spark-based processing Proven hands-on experience with distributed processing frameworks such as Spark/PySpark Experience working with structured, semi-structured, and unstructured data Solid understanding of schema design, partitioning, and query optimization Experience with Infrastructure as Code using Terraform and/or CloudFormation Hands-on experience building and maintaining CI/CD pipelines for data platforms Exposure to containerized workloads (Docker, ECS/EKS) Excellent communication skills Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field AWS Data Analytics / Solutions Architect certification preferred Additional certifications in Databricks, Snowflake, or other cloud data platforms are a plus 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
Yesterday
Category: Data Science
New York, US • 5 months ago
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