Data Engineer at Merkle | AdTechTalent
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Merkle
Data Engineer
AWS Amazon S3 AWS Glue Amazon Athena Amazon Redshift Amazon EMR SQL Python PySpark Spark Terraform CloudFormation CI/CD CloudWatch Amazon Kinesis Kafka Snowflake ETL ELT Data Engineering Data Pipelines Data Modeling Data Quality Agile AI ML
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Join Merkle and work on a role built for experienced AdTech operators.
Full job description Senior Data Engineer role requiring 3 to 7 years experience in AWS data services including S3, Glue, Athena, Redshift, and EMR. Responsibilities include designing and building scalable ETL/ELT pipelines, developing SQL and Python data transformations, implementing data ingestion pipelines, building optimized data models, supporting deployment and monitoring of data pipelines, troubleshooting issues, and collaborating with architects and product teams. Must have strong SQL and Python skills, experience with PySpark/Spark, knowledge of Infrastructure as Code (Terraform/CloudFormation), CI/CD pipelines, and CloudWatch monitoring. Good communication skills and experience working in Agile environments with global clients are required. Preferred certifications include AWS Certified Solutions Architect/DevOps Professional and Snowflake Core. Shift timings are 12 PM to 9 PM or 2 PM to 11 PM IST.
What you'll do Design and build scalable ETL / ELT pipelines on AWS Develop SQL-based data transformations and Python-based data pipelines Similar jobs
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Implement data ingestion pipelines using AWS services such as S3, Glue, EMR
Build data models optimized for analytics, performance, and cost efficiency
Support deployment and execution of data pipelines across environments
Monitor pipeline performance, reliability, and data quality
Troubleshoot data pipeline issues and perform root-cause analysis
Apply best practices for security, reliability, and scalability
Work closely with architects and product teams to understand requirements
Translate business and analytics needs into working AWS data solutions
Contribute to documentation, code reviews, and engineering standards Requirements Strong hands-on experience with AWS data services including Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, Amazon EMR Experience designing cloud-native data lakes and data warehouse architectures Solid understanding of batch data pipelines and basic exposure to streaming concepts Strong SQL skills including writing complex queries, joins, aggregations, and transformations Experience working with large datasets in Redshift / Athena Strong Python skills for data engineering and ETL use cases Experience with PySpark / Spark is a strong plus Good understanding of data modeling, transformations, and performance tuning Hands-on experience with distributed data processing frameworks (Spark / PySpark) Experience handling structured and semi-structured data Understanding of schema evolution, data quality checks, and validation logic Working knowledge of Infrastructure as Code (Terraform and/or CloudFormation) Basic experience with CI/CD pipelines for data workloads Understanding of logging and monitoring using CloudWatch Good communication skills Exposure to streaming technologies such as Amazon Kinesis or Kafka (good to have) Familiarity with Lakehouse and modern data platform patterns (good to have) Experience integrating AWS data platforms with BI / reporting tools (good to have) Basic knowledge of data governance, data quality, and metadata concepts (good to have) Awareness of AWS cost optimization best practices (good to have) Experience working in Agile delivery models with global clients (good to have) Exposure to AI / ML (good to have) Bachelor’s or Master Degree or equivalent AWS Certified Solutions Architect / DevOps – Professional (certification preferred) Snowflake Core certification (preferred) Tech stack AWS Amazon S3 AWS Glue Amazon Athena Amazon Redshift Amazon EMR SQL Python PySpark Spark Terraform CloudFormation CI/CD CloudWatch Amazon Kinesis Kafka 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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