Jobs via Dice ยท 1 day ago
Data Engineer - SCALA -- NYC, NY OR Briston, CT -- Hybrid -- 66947
Bristol, CT
Full-time
Hybrid
Senior Level
$80/hr - $85/hrDice is the leading career destination for tech experts at every stage of their careers, and they are seeking a Senior Data Engineer - SCALA to join their client's team. The role involves building foundational datasets from clickstream and quality of service telemetry data to support engineering and analytical teams in making key business decisions.
Computer Software
Responsibilities
Contribute to maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAs
Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python
Collaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business stakeholders
Contribute to developing and documenting both internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and more
Ensure high operational efficiency and quality of datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our partners (Engineering, Data Science, Operations, and Analytics teams)
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Qualification
Required
Experience in maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAs
Experience in architecting, designing, and coding shared libraries in Scala and Python that abstract complex business logic
Familiarity with tech stack including Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python
Ability to collaborate with product managers, architects, and other engineers
Experience in developing and documenting internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and more
Ability to ensure high operational efficiency and quality of datasets
Experience in participating and advocating for agile/scrum ceremonies
Ability to engage with and understand customers to prioritize innovative offerings and platform improvements
Experience in maintaining detailed documentation of work and changes to support data quality and data governance requirements
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase