Position - Senior Data Science Engineer
Role Description
We’re looking for a detail-oriented person with ability to work with cross-functional teams and take a leadership role. A commitment to collaboration, problem-solving, build sophisticated design while leveraging technologies such as Azure Cloud Platform, Kubernetes, Spark, Python and Docker to help provide the company with AI solutions and services. You will work in modern enterprise cloud stack with a growing dynamic team including data engineers, data scientists and data analysts.
Desired Skills / Competencies
Education + Technical skills / experience
- Bachelor’s degree in computer science, Statistics, Math, or a related field
- At least 5+ years of relevant data engineering experience
- Strong knowledge in Data Warehouse, Data Modelling including Big Data Technologies.
- Advanced level programming skills in coding language (Python, Scala/Spark)
- Familiarity with Docker, Kubernetes, Message/ Storage Queues, Data Lakes
· Experience with stream-processing systems (e.g., Spark Streaming), big data querying tools (e.g., Pig, Hive, Spark).
- Experience in working with cloud service providers (Azure, AWS, GCP)
- Experience in helping teams create robust data system architectures.
- Excellent communication and interpersonal skills to collaborate with internal and external stakeholders.
- Passionate drive to solve real-world problems with AI delivering tangible business value through data pipelines and deployments.
- Fluency in spoken and written English
- Hands-on experience with Azure Cloud Platform services such as Databricks, Data Lake Storage Gen 2 and Azure Machine Learning
Mindset & Behavior
- High energy and passionate individual who can work closely with other team members.
- Strong entrepreneurial drive to test new out of the box techniques.
- Able to prioritize workstreams and adopt an agile approach.
- Willing to adopt an iterative approach; experimental mindset to drive innovation.
Key responsibilities
- Has expertise in implementing complex big data pipelines, Kubernetes deployments of spark application.
- Lead a team of around 5 junior data engineers.
- Can communicate complex technical concepts to both technical and non-technical audiences.
- Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems.
- Provide robust solutions and decisions using your expertise in the data engineering domain.
- Design and build high-performance, secure, and scalable data solutions following best practices.
- Work closely with Head of Data and fellow team members to frame scalability and optimizations of the deployments.
- Work closely with Architect on end-to-end technical design, methodology, development quality, deployment and management of the pipelines developed by the team.
- Mentor junior members of the team, being a steady and guiding hand on project work.
- Knack for helping an organization build advanced cloud-based solutions and contribute to proposals, POCs
- Be a team player.
- Possess a positive attitude and "go the extra mile".
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