Manager Data Engineering DE - Big Data GCP

10 Months ago • 8 Years +
Devops

Job Description

As Manager, Data Engineering, you'll translate client requirements into design, architecting, and implementing GCP Cloud-based big data solutions. Responsibilities include data ingestion, transformation, consumption, storage, computation frameworks, performance optimization, infrastructure, automation, cloud computing, and data governance & security. You'll lead a team, manage scope and quality, establish standard data practices, and provide technical leadership. This role requires hands-on experience with Big Data solutions on GCP, expertise in Java/Scala/Python, and experience with various big data technologies and tools.
Good To Have:
  • NoSQL solutions (MongoDB, Cassandra, etc.)
  • Cloud-based NoSQL (DynamoDB, BigTable, etc.)
  • CI/CD pipelines, containerization, Kubernetes
Must Have:
  • 8+ years IT experience, 3+ years in Data technologies
  • 1+ year GCP Cloud services experience
  • Big Data Architecture expertise on GCP
  • Expert in Java/Scala, Python preferred
  • Spark, Hadoop ecosystem, data ingestion tools
Perks:
  • 18 paid holidays
  • Generous parental leave
  • Flexible work arrangements
  • Employee Assistance Programs

Add these skills to join the top 1% applicants for this job

java
scala
cassandra
kubernetes
spark
nosql
python
sql
hadoop
data-analytics
hbase
agile-development

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 the 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.

Job Description

As Manager, Data Engineering, you will be responsible for translating client requirements into design, architecting, and implementing GCP Cloud-based big data solutions for clients. Your role will be focused on delivering high-quality solutions by independently driving design discussions related to Data Ingestion, Transformation & Consumption, Data Storage and Computation Frameworks, Performance Optimizations, Infrastructure, Automation & Cloud Computing, and Data Governance & Security. The role requires a hands-on technologist with expertise in Big Data solution architecture and with a strong programming background in Java / Scala / Python.

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 on GCP Cloud. Manage functional & nonfunctional 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 to hiring and capability building.

Qualifications

Your Skills & Experience:

  • Overall 8+ years of IT experience with 3+ years in Data related technologies, and expertise of 1+ years in data-related GCP Cloud services and delivered at least 1 project as an architect.
  • Mandatory to have knowledge of Big Data Architecture Patterns and experience in the delivery of end-to-end Big Data solutions on GCP Cloud.
  • Expert in programming languages like Java/ Scala and good to have Python
  • Expert in at least one distributed data processing framework: Spark (Core, Streaming, SQL), Storm or Flink, etc.
  • Expert in Hadoop eco-system with GCP cloud distribution and worked at least on 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
  • Should have worked on any NoSQL solutions like Mongo DB, Cassandra, HBase, etc, or Cloud-based NoSQL offerings like DynamoDB, Big Table, etc.
  • Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration, and Kubernetes engine would be an added advantage.

Set Yourself Apart With:

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

A Tip from the Hiring Manager:

Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work.

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

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