Senior Data Engineer

Company: Publicis Sapient
Location: Chelsea
Posted on: September 18, 2023

Job Description:

Publicis Sapient is looking for a Senior Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.
Qualifications
Your Daily Duties & Impact:

• Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our clients' business
• Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects that delivers business value for clients
• Automate data platform operations and manage the post-production system and processes
• Conduct technical feasibility assessments and provide project estimates for the design and development of the solution
• Provide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements
• Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager
• Mentor, help and grow junior team membersYour Technical Skills & Experience:
  • Demonstrable experience in data platforms involving implementation of end to end data pipelines
  • Hands-on experience with at least one of the leading public cloud data platforms (Azure, AWS or Google Cloud)
  • Implementation experience with column-oriented database technologies (i.e., Big Query, Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (i.e., SQL Server, Oracle, MySQL)
  • Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Glue ETL, Lambda, Spark, Spark Streaming, etc.
  • Ability to handle module or track level responsibilities and contributing to tasks hands-on
  • Experience in data modeling, warehouse design and fact/dimension implementations
    • Experience working with code repositories and continuous integration
    • Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes
    • Data processing programming using SQL, DBT, Python, and similar tools
    • Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala
    • Data ingest, validation, and enrichment pipeline design and implementation
    • Cloud-native data platform design with a focus on streaming and event-driven architectures
    • Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks
    • Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog, and similar
    • Code review and mentorship
    • Bachelor's degree in Computer Science, Engineering or related field.Set Yourself Apart With:
      • Developer certifications for any of the cloud services like AWS, Google Cloud or Azure
      • Understanding of development and project methodologies
      • Willingness to travelAdditional Information
        • Gender-Neutral Policy
        • Access to Prepaid Medical Plan
        • Employee engagement activities and events
        • Remote work
          Qualifications
          Your Technical Skills & Experience:
          • Demonstrable experience in data platforms involving implementation of end to end data pipelines
          • Hands-on experience with at least one of the leading public cloud data platforms (Azure, AWS or Google Cloud)
          • Implementation experience with column-oriented database technologies (i.e., Big Query, Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (i.e., SQL Server, Oracle, MySQL)
          • Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Glue ETL, Lambda, Spark, Spark Streaming, etc.
          • Ability to handle module or track level responsibilities and contributing to tasks hands-on
          • Experience in data modeling, warehouse design and fact/dimension implementations
          • Experience working with code repositories and continuous integration
          • Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes
          • Data processing programming using SQL, DBT, Python, and similar tools
          • Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala
          • Data ingest, validation, and enrichment pipeline design and implementation
          • Cloud-native data platform design with a focus on streaming and event-driven architectures
          • Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks
          • Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog, and similar
          • Code review and mentorship
          • Bachelor's degree in Computer Science, Engineering or related field.Set Yourself Apart With:
            • Developer certifications for any of the cloud services like AWS, Google Cloud or Azure
            • Understanding of development and project methodologies
            • Willingness to travel
              Additional Information
              
              • Gender-Neutral Policy
              • Access to Prepaid Medical Plan
              • Employee engagement activities and events
              • Remote workPay Range:$91,000 -$169,000
                Company Description
                Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

Keywords: Publicis Sapient, Chelsea , Senior Data Engineer, Engineering , Chelsea, Massachusetts