Lead Data Engineer – Now Hiring!

at Capgemini
Location Calgary, Canada
Date Posted September 23, 2022
Category Engineering
Job Type Permanent

Description

About the job

Capgemini Engineering combines, under one brand, a unique set of strengths from across the Capgemini Group: the world leading engineering and R&D services of Altran - acquired by Capgemini in 2020 - and Capgemini's digital manufacturing expertise. With broad industry knowledge and cutting-edge technologies in digital and software, Capgemini Engineering supports the convergence of the physical and digital worlds. Combined with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 52,000 engineer and scientist team members in over 30 countries across sectors including aeronautics, automotive, railways, communications, energy, life sciences, semiconductors, software & internet, space & defence, and consumer products.

Job Title: Lead Data Engineer

Type: FTE

Location: Remote/Toronto, ON/Vancouver, BC

As a Team Lead, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Lead a team of experienced data engineers working on the foundation for decision-making at a company dealing with billions of events per day. Contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.

Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.

Responsibilities:

  • Coordinates the work of direct subordinates;
  • Ensures effective communication between all stakeholders related to team's area of responsibility and deliveries;
  • Ensure high quality development standards (unit/integration tests, etc.)
  • Makes team to work according to development process established on the project/within the team to take end-to-end ownership on their AOR and tasks;
  • Reports about area readiness/quality and raises red flags in crisis situations beyond his/her AOR;
  • Responsible for resolving crisis situations within his/her AOR;
  • Participates in software development implementation work;
  • Prepares functional and design specifications of computer-based systems;
  • Mentors more junior team members
  • Ensures the project team is provided with all required technical tools for efficient project delivery;
  • Responsible for accurate vacation, holiday planning and forecasts of a team according to delivery milestones and releases;
  • Oversees and evaluates team members' performance according to established procedures;
  • Participates in the interview process for the recruitment of new team members.
  • Required Skills:

    Must have:

  • University degree in Computer Related Sciences or similar
  • 7+ years of professional experience
  • 2+ years of proven experience leading other Engineers
  • 3+ years experience working in data engineering, business intelligence, or a similar role
  • Proficiency in programming languages such as Python, or Java, or Scala
  • 3+ years of experience in ETL orchestration and workflow management tools like Airflow, or Oozie
  • Expert in Database fundamentals, SQL and distributed computing
  • 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and/or streaming technologies such as Kafka/Flink.
  • Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
  • Excellent communication skills and experience working with technical and non-technical teams
  • Nice to have:

  • Knowledge of reporting tools such as Tableau, Superset and Looker
  • Comfortable working in fast paced environment, self starter and self organizing
  • This company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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