Senior Data Analytics Engineer

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Job description

*We are unable to sponsor for this permanent Full time role*

*Position is bonus eligible*

Prestigious Fortune 500 Company is currently seeking a Sr. Data Analytics Engineer. Candidate will collaborate with product owners, data scientists, software engineers, and designers to develop and deploy robust, scalable services that enhance our understanding of user mobility. Success in this highly dynamic role depends on your ability to be flexible, curious, and quick to adapt. You will create ETL using stream-based processing and distributed computing from inception to solution, supporting technical expertise with strong business acumen.

Responsibilities

• Build data pipelines and infrastructure to support the needs of machine learning and analytics as part of a cross-functional team
• Connect raw data to business meaning and understand data generation and flows in the context of business impact
• Communicate anomalies and work towards resolution
• Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints
• Oversee the development of new concepts and proof of concept designs of moderate complexity
• Ensure prototypes meet the organization standards to allow transfer to production, if applicable
• Solve problems with a multidisciplinary approach, combining technical expertise with business knowledge
• Leverage agile data analysis with technology fluency in parallel processing/programming, software/programming languages and analytical technologies (Hadoop/Spark, NoSQL or traditional databases)
• Facilitate deployment of predictive models in production using technologies such as Flink, Cassandra or containers (Docker and Kubernetes)

Qualifications

• Experience driving complex data engineering projects from ideation through to completion, typically gained through at least a few years of experience in a similar role
• Degree in a field such as computer science, mathematics, data architecture, or equivalent experience or skills
• Experience writing code in Python (Scala/Java, a plus)
• Familiarity with Agile/Scrum, AWS, CI/CD, and SQL
• Proficiency in Linux, bash, and Jupyter Notebooks
• Advanced data sourcing and content management skills
• Experience in time and task management
• Strong attention to detail
• Strong written and verbal communication skills including the ability to collaborate across teams
• Experience mentoring junior team members

Preferred Skils:

• Master's degree in Computer Science or another technical field
• Strong development knowledge and experience in Hadoop big data stack (eg HDFS, Hive, Spark, etc.)
• Experience in interviewing and hiring technical resources
• Demonstrated capability to learn new technologies and follow industry trends