Capgemini
Software Engineer Lead - AI Data Engineer (Marketing Analytics)
Capgemini, New York, New York, us, 10261
Job Location:
New York, Atlanta, Chicago, California, Texas and SeattleJob Title:
Marketing Analytics Data ScientistJob Description:We are looking for a highly skilled and detail-oriented AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure required for our AI-assisted marketing intelligence tool. This role involves working with large datasets, ensuring data quality, and implementing efficient data pipelines. The ideal candidate will collaborate closely with data scientists, AI architects, and marketing teams to deliver high-quality, scalable data solutions that drive business intelligence and marketing insights.Key Responsibilities:Design, build, and maintain scalable data pipelines and ETL processes to support AI and machine learning models.Ensure the data infrastructure is robust, secure, and optimized for performance.Integrate data from various sources (e.g., databases, APIs, external datasets) into a centralized data repository.Implement data management best practices, including data governance, data quality, and data security.Optimize data processing workflows for performance, scalability, and reliability.Evaluate and recommend new tools and technologies to improve the data engineering process.Stay ahead of the latest advancements in data engineering, big data technologies, and cloud platforms.Build and lead dashboards and reports to track data pipeline performance and key metrics.Required Skills:Proven experience in data engineering, big data (Hadoop, Hive, Spark, etc.), or a related field.Proficiency in programming languages such as Python, Java, or Scala.Solid understanding of SQL and relational databases (e.g., MySQL, PostgreSQL).Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services.Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).Familiarity with marketing principles and strategies.Experience working with marketing data and understanding marketing analytics.Disclaimer:
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
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New York, Atlanta, Chicago, California, Texas and SeattleJob Title:
Marketing Analytics Data ScientistJob Description:We are looking for a highly skilled and detail-oriented AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure required for our AI-assisted marketing intelligence tool. This role involves working with large datasets, ensuring data quality, and implementing efficient data pipelines. The ideal candidate will collaborate closely with data scientists, AI architects, and marketing teams to deliver high-quality, scalable data solutions that drive business intelligence and marketing insights.Key Responsibilities:Design, build, and maintain scalable data pipelines and ETL processes to support AI and machine learning models.Ensure the data infrastructure is robust, secure, and optimized for performance.Integrate data from various sources (e.g., databases, APIs, external datasets) into a centralized data repository.Implement data management best practices, including data governance, data quality, and data security.Optimize data processing workflows for performance, scalability, and reliability.Evaluate and recommend new tools and technologies to improve the data engineering process.Stay ahead of the latest advancements in data engineering, big data technologies, and cloud platforms.Build and lead dashboards and reports to track data pipeline performance and key metrics.Required Skills:Proven experience in data engineering, big data (Hadoop, Hive, Spark, etc.), or a related field.Proficiency in programming languages such as Python, Java, or Scala.Solid understanding of SQL and relational databases (e.g., MySQL, PostgreSQL).Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services.Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).Familiarity with marketing principles and strategies.Experience working with marketing data and understanding marketing analytics.Disclaimer:
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
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