Lead Big Data Engineer with Spark Experience :: Remote
Company: Capgemini Engineering
Location: Fort Worth
Posted on: June 25, 2022
Job Description:
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 Tittle- Lead
Big Data EngineerJob Location: RemotePositions Type:
FulltimeResponsibilities
- Lead a team of 5-8 talented, motivated engineers and help them
deliver while remaining hands on throughout the time.
- In this role, you'll bring advanced subject matter knowledge to
solve complex business issues, and we'll look to your Spark data
engineering subject matter expertise!
- You will also get to work on complex, interesting problems,
where analysis of situations or data requires an in-depth
evaluation of multiple factors
- We'll rely on your experience and expertise to provide
direction and guidance to process improvements, including in
helping to establish/advise on policies
- Leads one or more project teams of other data engineers for all
stages of design and development for complex, secure and performant
data solutions and models, including design, analysis, coding,
testing, and integration of structured/unstructured data
- Ability to work as a Big Data Engineer as an individual
contributor or team player
- Mines data using modern tools and programming languages
- Collaborates and communicates with project team regarding
project progress and issue resolution
- Communicates and drives data insights/innovation into the
business
- Builds and manages relationships throughout the
organization
- Ties insights into effective visualizations communicating
business value and innovation potential
- Manages relationships with business partners to evaluate and
foster data driven innovation, provide domain-specific expertise in
cross-organization projects/initiatives
- Maintains proficiency within the data science domain by keeping
up with technology and trend shifts
- Contributes to industry data science domain initiatives
- Represents the data science team for all phases of larger and
more-complex development projects
- Defines and implements models to uncover patterns and
predictions creating business value and innovation
- Provides guidance, training and mentoring to team members
- Collaborates with peers, junior engineers, data scientists and
project team
- Typically interacts with high- level Individual Contributors,
Managers, Directors and Program Core Teams
- Leads multiple projects requiring data engineering solutions
development
- Drives design innovation resolution.Knowledge & Skills
- Extensive Hands-on experience on Big Data frameworks like
Spark, Hive using Scala or Python
- Extensive experience in AWS services - Redshift, Athena, EMR,
DocumentDB, S3
- Knowledge of AI & Data Science
- Exposure to CI/CD pipeline & Github.
- Experience in ETL, Data Lake and Data warehouse pipeline.
- Experience using statistics, mathematics, algorithms and
programming languages to solve big data challenges.
- Fluent in structured and unstructured data, its management, and
modern data transformation methodologies.
- Ability to define and create complex models to pull valuable
insights, predictions and innovation from data.
- Effectively and creatively tell stories and create
visualizations to describe and communicate data insights.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills; mastery in
English and local language.
- Ability to effectively communicate data insights and negotiate
options at senior management levels. Scope & Impact
- Collaborates with peers, junior engineers, data scientists and
project team.
- Typically interacts with high- level Individual Contributors,
Managers, Directors and Program Core Teams.
- Leads multiple projects requiring data engineering solutions
development.
- Drives design innovation. Education & Experience
- Bachelor's, Master's or PHD degree in Mathematics, Economics,
Physics, Computer Science, or equivalent.
- 6-10 years' professional experienceThis 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.
Keywords: Capgemini Engineering, Fort Worth , Lead Big Data Engineer with Spark Experience :: Remote, Engineering , Fort Worth, Texas
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