Data Engineer Manager/Senior Manager

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Accenture

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Job Summary


Salary
S$12,143 - S$20,571 / Monthly EST

Job Type
Permanent

Seniority
Manager

Years of Experience
At least 15 years

Tech Stacks
ETL Presto Azure Hive Spark NoSQL kafka SQL C Scala Cassandra Python AWS Java

Job Description

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.

Key Responsibilities

As part of the Data Engineering practice, some of the key responsibilities include:

  • Developing, testing and implementing business systems of the highest complexity
  • Ensures cross team integration and proper hand-offs of code/tasks to meet schedules
  • Designs reusable software components and incorporates reusable assets into the application design
  • Research and evaluate Data Engineering tools and frameworks
  • Participate on POCs and assist in client presentations
  • Assist engineering leadership in hiring and interviewing top talent
  • Mentor junior staff conduct design/code/test reviews
  • Assist in developing centre of excellence, best practices, documentation, re-usable assets
  • Proficient in distributed architecture, understanding of required infrastructure setup
  • Mentor junior team members

Qualifications

  • Minimum 15+ years of experience with significant experience in the Data Engineering space
  • Experience in designing and building robust and highly scalable data platform and data pipelines
  • Experience with leading a team of experienced Data Engineers
  • Prior experience working in the consulting space will be highly advantageous
  • Strong programming proficiency using 1 or 2 of the following languages: Scala, Python, Java
  • Extensive experience with data modelling and designing/supporting both streaming and batch ETL pipelines
  • Clear understanding of distributed computing, especially in databases
  • Hands-on in SQL and NOSQL with a deep understanding of query optimization
  • Experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.)
  • Experience working on any of the Cloud platforms (GCP, AWS, Azure)
  • Good to have: Certification for Data Engineers or Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)
  • Strong communications skills and presentation skills to C levels
  • Ability to manage numerous requests concurrently and be able to prioritize and deliver

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