Data Engineer
Core
Designing, developing, and maintaining data solutions for data generation, collection, and processing, including creating pipelines, ensuring data quality, and implementing ETL processes.
Role type
Senior Data Engineer
Builds
Data pipelines, dashboards, and data transformation workflows
Domain
Data Engineering / Big Data Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Databricks, Pyspark, Tableau, Power BI, Data Quality Assessment, Technical Documentation
Preferred skills
Spark, Git, System Testing (SIT/UAT), Project Management
Technologies
Databricks, Pyspark, Tableau, Power BI, Confluence, JIRA, SQL, Python
Responsibilities
Develop innovative data solutions to enhance accessibility and usability; Monitor and optimize data pipelines for performance and reliability; Conduct regular data quality assessments and implement improvements; Build, enhance, and maintain dashboards for data monitoring and performance reporting; Develop clear user guides and technical documentation for analytics processes; Prototype automation solutions to streamline workflows; Manage JIRA tickets, sprint tasks, and QA test cases.
Seniority
Senior, hands-on IC with team management responsibilities
