Publicis Sapient

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.. Data processing programming using SQL, DBT, Python, and similar tools. Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala. Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks. Developer certifications for any of the cloud services like AWS, Google Cloud or Azure

senior data engineer

Description Publicis Sapient is looking for a Senior Associate 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. Your Impact: <ul><li>Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our client's business</li><li>Translate client's requirements to system design and develop a solution that delivers business value</li><li>Lead, designed, develop, and deliver large-scale data systems, data processing, and data transformation projects</li><li>Automate data platform operations and manage the post-production system and processes</li><li>Conduct technical feasibility assessments and provide project estimates for the design and development of the solution</li><li>Mentor, help and grow junior team members</li></ul> Your Technical Skills & Experience: <ul><li>Demonstrable experience in data platforms involving implementation of end-to-end data pipelines</li><li>Hands-on experience in Azure cloud platform.</li><li>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)</li><li>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.</li><li>Ability to handle module or track level responsibilities and contributing to tasks "hands-on"</li><li>Experience in data modeling, warehouse design and fact/dimension implementations</li><li>Experience working with code repositories and continuous integration</li><li>Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes</li><li>Data processing programming using SQL, DBT, Python, and similar tools</li><li>Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala</li><li>Data ingest, validation, and enrichment pipeline design and implementation</li><li>Cloud-native data platform design with a focus on streaming and event-driven architectures</li><li>Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks</li><li>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</li><li>Code review and mentorship</li><li>Bachelor's degree in Computer Science, Engineering or related field.</li></ul> Set Yourself Apart With: <ul><li>Developer certifications for any of the cloud services like AWS, Google Cloud or Azure</li><li>Understanding of development and project methodologies</li><li>Willingness to travel</li></ul> Qualifications Pay Range:$103,000 -$154,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and the specific skillset required for the work itself. Benefits of Working Here: <ul><li>Flexible vacation policy; time is not limited, allocated, or accrued</li><li>16 paid holidays throughout the year</li><li>Generous parental leave and new parent transition program</li><li>Tuition reimbursement </li><li>Corporate gift matching program </li></ul> If you are excited for - <ul><li>Opportunities to grow with Publicis Groupe that believes in Power of One. We will help you partner with our clients across the globe in various industries,</li><li>Diverse team & progressive work environment,</li><li>A place where learning never stops. We ensure you get trained on multiple platforms and domains which enables you to have cross functional experience within the organization,</li><li>Empowering your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package.</li></ul> YOU are the one we're looking for. Someone who truly understand what it takes to serve clients beyond expectations: crack one-off client challenges. Develop insights. Spark breakthrough creative ideas. Additional Information 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 truly value Company Description Publicis Sapient is looking for a Senior Associate 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. Your Impact: <ul><li>Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our client's business</li><li>Translate client's requirements to system design and develop a solution that delivers business value</li><li>Lead, designed, develop, and deliver large-scale data systems, data processing, and data transformation projects</li><li>Automate data platform operations and manage the post-production system and processes</li><li>Conduct technical feasibility assessments and provide project estimates for the design and development of the solution</li><li>Mentor, help and grow junior team members</li></ul> Your Technical Skills & Experience: <ul><li>Demonstrable experience in data platforms involving implementation of end-to-end data pipelines</li><li>Hands-on experience in Azure cloud platform.</li><li>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)</li><li>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.</li><li>Ability to handle module or track level responsibilities and contributing to tasks "hands-on"</li><li>Experience in data modeling, warehouse design and fact/dimension implementations</li><li>Experience working with code repositories and continuous integration</li><li>Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes</li><li>Data processing programming using SQL, DBT, Python, and similar tools</li><li>Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala</li><li>Data ingest, validation, and enrichment pipeline design and implementation</li><li>Cloud-native data platform design with a focus on streaming and event-driven architectures</li><li>Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks</li><li>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</li><li>Code review and mentorship</li><li>Bachelor's degree in Computer Science, Engineering or related field.</li></ul> Set Yourself Apart With: <ul><li>Developer certifications for any of the cloud services like AWS, Google Cloud or Azure</li><li>Understanding of development and project methodologies</li><li>Willingness to travel</li></ul> Associated topics: data administrator, data analytic, data architect, data engineer, data manager, data management, data quality, data scientist, data warehousing, mongo database

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