Senior Associate Data Engineering

Mid / Senior

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{"group":"Organization","title":"Senior Associate Data Engineering","endDate":"2023-06-16T07:44:21.162Z","isDraft":false,"jobType":"Full Time","job_url":"628-publicis-sapient-senior-associate-data-engineering","clientId":"35","location":[{"lat":40.7127753,"lon":-74.0059728,"zip":"","city":"New York","text":"New York, NY, USA","state":"New York","country":"United States","is_city":true,"is_state":false,"is_country":false,"state_code":"NY","countryCode":"US","isLocationSet":true,"isLocationResolved":true}],"maxSalary":"","minSalary":"","startDate":"2023-06-16T07:44:21.162Z","currencyIn":"USD","hiringSPOC":"Web Imitation","onBehalfOf":"50","companyName":"Meytier","description":"<p class=\"ql-align-justify\">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.</p><p class=\"ql-align-justify\"><br></p><p class=\"ql-align-justify\"><strong>Key Responsibilities:</strong></p><ul><li class=\"ql-align-justify\">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</li><li class=\"ql-align-justify\">Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects that delivers business value for clients</li><li class=\"ql-align-justify\">Automate data platform operations and manage the post-production system and processes</li><li class=\"ql-align-justify\">Conduct technical feasibility assessments and provide project estimates for the design and development of the solution</li><li class=\"ql-align-justify\">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</li><li class=\"ql-align-justify\">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</li><li class=\"ql-align-justify\">Mentor, help and grow junior team members</li></ul><p class=\"ql-align-justify\"><strong>Desired Profile:</strong></p><ul><li class=\"ql-align-justify\">Demonstrable experience in data platforms involving implementation of end to end data pipelines</li><li class=\"ql-align-justify\">Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud)</li><li class=\"ql-align-justify\">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 class=\"ql-align-justify\">Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.</li><li class=\"ql-align-justify\">Ability to handle module or track level responsibilities and contributing to tasks “hands-on”</li><li class=\"ql-align-justify\">Experience in data modeling, warehouse design and fact/dimension implementations</li><li class=\"ql-align-justify\">Experience working with code repositories and continuous integration</li><li class=\"ql-align-justify\">Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes</li><li class=\"ql-align-justify\">Data processing programming using SQL, DBT, Python, and similar tools</li><li class=\"ql-align-justify\">Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala</li><li class=\"ql-align-justify\">Data ingest, validation, and enrichment pipeline design and implementation</li><li class=\"ql-align-justify\">Cloud-native data platform design with a focus on streaming and event-driven architectures</li><li class=\"ql-align-justify\">Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks</li><li class=\"ql-align-justify\">Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as Open Metadata, Data Hub, Alation, AWS Glue Catalog, Google Data Catalog, and similar</li><li class=\"ql-align-justify\">Code review and mentorship</li><li class=\"ql-align-justify\">Bachelor’s degree in Computer Science, Engineering or related field.</li></ul><p class=\"ql-align-justify\"><strong>Compensation Range: $108k-$210k</strong></p>","isHybridJob":false,"isRemoteJob":false,"dateRecieved":"20211019000000","exclusiveJob":false,"isJDVerified":true,"hiringManager":"Web Imitation","maxExperience":"12","minExperience":"8","isOnPremiseJob":true,"onBehalfOfName":"Publicis Sapient","otherlocations":[],"experienceLevel":"Mid / Senior","annotationStatus":1,"maxSeniorityLevel":6,"minSeniorityLevel":3,"otherJobReference":"","sharpenedJobTitle":"Senior Associate Data Engineering","portalLocationDisplay":"New York","educationQualification":"Baccalaureate Degree","expertise_coreskill_or_product":["Software Engineering"],"expertise_functional_area_hiring_team":"","job_id":"628"}