Manager-data Engineering Job in Publicis Sapient

Publicis Sapient is looking for a Manager, Data Engineering, who will be responsible for translating client requirements into design, architecting and implementing Cloud & Non Cloud based big data solutions for clients. Your role will be focused on delivering high quality solutions by self-guided adaptable design discussions related to below aspects, The role requires a hands-on technologist withexpertisein Big Data solution architecture with excellent programming background in Java / Scala / Python, should have experience in setting up secure big data platform. You are also preferred to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Your Impact:

• Provide technical direction and hands-on implementation role in the areas of data engineering including data ingestion, data access, modeling, data processing, visualization, design and implementation.
• Lead a team to deliver high quality big data technologies based solutions either on premise or on Cloud. Manage functional & non-functional scope and quality
• Help establish standard data practices like governance and address other non-functional issues like data security, privacy and quality
• Manage and provide technical direction to a data program implementation based on the requirement using agile technologies
• Participate in workshops with clients andalignclient stakeholders to optimal solutions.
• Consulting, Soft Skills, Thought Leadership, Mentorship etc.
• People ownership, contributing in hiring and capability building

Your Skills & Experience:

• Overall 8+ years of IT experience with 3+ years in Data related technologies
• 3+ years of experience in Big Data technologies and expertise of 1+years in data related Cloud services (AWS / Azure / GCP) and delivered at least 1 project as an architect.
• Mandatory to have knowledge of Big Data Architecture Patterns and experience in delivery of end to end Big data solutions either on premise or on Cloud.
• Experiencedin Hadoop eco-system with one or more distribution like Cloudera and cloud specific distributions and in programming languages like Java/ Scala and good to have Python
• Experienced in one or more big data ingestion tools (Sqoop, Flume, NiFI etc), distributed messaging and ingestion frameworks (Kafka,Pulsar, Pub/Sub etc) and good to know traditional tools like Informatica, Talend etc.
• Experienced in at least one distributed data processing frameworks: like Spark (Core, Streaming , SQL), Storm or Flink etc.
• Should have worked on any of NoSQL and any of Orchestration tools(Oozie , Airflow, Ctr-M or similar).
• Should have good understanding of how to setup Big data cluster security Authorization/ Authentication, Security for data at rest, data in Transit.
• Should have basic understanding of how to manage and setup Monitoring and alerting for Big data cluster.
• Worked on Performance Tuning, Optimization and Data security and MPP style query engines like Impala , Presto, Athena etc

Set Yourself Apart With:

• Excellent understanding of data technologieslandscape / ecosystem.
• Well versed with pros and cons of various database technologies like Relational, NoSQL, MPP, Columnar databases.
• Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration and kubernetes engine would be an added advantage.
• Well versed in in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models
• Exposure in data governance, catalog, lineage and associated tools would be an added advantage.
• Well versed with Software as a service, Platform as a service and Infrastructure as a service concepts and can drive clients to a decisions
• Thought Leadership blogs, key note sessions, POV/POC, hackathon
• Certification in either one of the cloud platforms or big data technologies

Benefits of Working Here:

• Gender Neutral Policy
• 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)
• Generous parental leave and new parent transition program
• Flexible work arrangements
• Employee Assistance Programs to help you in wellness and well being

A Tip from the Hiring Manager:

Take the opportunity to share your methodologies or simply the way you tackle big problems. If you had the opportunity to do it again, what would you do differently?

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