Senior Manager Data Engineering

Mid / Senior

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You’ll use your problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients’ most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.</p><p class=\"ql-align-justify\"><br></p><p class=\"ql-align-justify\"><strong>Key Responsibilities:</strong></p><ul><li class=\"ql-align-justify\">Develop, design, and implement consumer data models based on business requirements and objectives.</li><li class=\"ql-align-justify\">Collaborate with various stakeholders, such as business analysts, architects, and developers, to understand data needs and convert these needs into effective data models.</li><li class=\"ql-align-justify\">Evaluate and optimize existing data models for improvement.</li><li class=\"ql-align-justify\">Ensure that data models adhere to industry best practices, standards, and guidelines.</li><li class=\"ql-align-justify\">Conduct data profiling and analysis to identify data quality issues and propose data cleansing and remediation strategies.</li><li class=\"ql-align-justify\">Collaborate with database administrators to optimize database performance and maintain data integrity.</li><li class=\"ql-align-justify\">Work closely with ETL developers to integrate data models into data integration processes.</li><li class=\"ql-align-justify\">Stay updated on the latest trends and technologies in data modeling, cloud computing, and database design.</li><li class=\"ql-align-justify\">Mentor, support and manage team members</li></ul><p class=\"ql-align-justify\"><strong>Desired Profile:</strong></p><ul><li class=\"ql-align-justify\">Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines&nbsp;</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)&nbsp;&nbsp;</li><li class=\"ql-align-justify\">Experience with column-oriented database technologies (e.g., Big Query, Redshift, Vertica), NoSQL database technologies (e.g., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (e.g., SQL Server, Oracle, MySQL)</li><li class=\"ql-align-justify\">Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.&nbsp;</li><li class=\"ql-align-justify\">Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog.</li><li class=\"ql-align-justify\">Test plan creation and test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks</li><li class=\"ql-align-justify\">Data modeling, querying, and optimization for relational, NoSQL, timeseries, graph databases, 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\">Cloud-native data platform design with a focus on streaming and event-driven architectures</li><li class=\"ql-align-justify\">Participate in integrated validation and analysis sessions of components and subsystems on production servers</li><li class=\"ql-align-justify\">Data ingest, validation, and enrichment pipeline design and implementation</li><li class=\"ql-align-justify\">SDLC optimization across workstreams within a solution</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: $129k- $252k</strong></p>","isHybridJob":false,"isRemoteJob":false,"exclusiveJob":false,"hiringManager":"Web Imitation","jobCatagories":[],"maxExperience":"18","minExperience":"10","isOnPremiseJob":true,"onBehalfOfName":"Publicis Sapient","otherlocations":[],"experienceLevel":"Mid / Senior","numberOfOpenings":"1","maxSeniorityLevel":6,"minSeniorityLevel":3,"otherJobReference":"","sharpenedJobTitle":"Senior Manager Data Engineering","growthOppurtunities":[],"portalLocationDisplay":"New York","educationQualification":"Baccalaureate Degree","expertise_coreskill_or_product":["Data Engineering"],"job_id":"629"}