PS Manager Data Engineering Scala With AWS Data Engineering

Job Description

Manager Data Engineering

As a Manager Data Engineering, you will lead and mentor a team of data engineers to design, develop, and implement scalable data solutions using Scala. You will work closely with cross-functional teams to build high-performance data pipelines, optimize data processing, and ensure data quality and governance. Your expertise in Scala and data engineering will drive innovation and efficiency in data-driven decision-making.

Your Impact:

• Provide technical leadership 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 leadership to a data program implementation based on the requirement using agile technologies
• Participate in workshops with clients and align client stakeholders to optimal solutions.
• Consulting, Soft Skills, Thought Leadership, Mentorship etc.
• People management, contributing in hiring and capability building
  
  

Qualifications

Your Skills & Experience:

• 9+ years of experience within the field of data engineering with relevant experience of 6+ 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.
• Excellent understanding of data technologies landscape
• Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databases
• Well versed with Software as a service, Platform as a service and Infrastructure as a service concepts and can drive clients to a decision
• Expert in programming languages in Scala is must.
• Expert in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models
• Expert in one or more ETL, BI, Analytics and advanced visualization technologies
• Expert in in Hadoop eco-system with one or more distribution like Cloudera and HortonWorks
• Expert in agile development with CI / CD pipeline with data projects
• Knowledge in computation frameworks like Storm and Spark
• Knowledge in cloud and social media technologies and integrations
• Expert in master data management and building customer 360 degree views
• Strong analytical and problem solving skills
• Strong communication skills verbal, written and visual presentations
• Strong coordination and negotiation skills
• Multi geo experience and distributed delivery experience in large programs
• Business Knowledge: Data driven marketing experience would be a plus
  
  

Set Yourself Apart With:

• Certification on AWS cloud platform or big data technologies.
• Strong analytical and problem-solving skills.
• Excellent understanding of data technologies landscape/ecosystem
  
  

Additional Information

• Gender Neutral Policy
• 18 paid holidays throughout the year
• 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: Our work is fueled by

• challenging boundaries,
• multidisciplinary collaboration,
• highly agile teams, and
• the power of the newest technologies and platforms.
  
  

If that’s you, come talk to us!

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.

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