Pyspark Developer

Data Engineer

Responsibilities

Analyze and organize raw dataInterpret trends and patternsConduct complex data analysis and report on resultsPrepare data for prescriptive and predictive modelingCombine raw information from different sourcesExplore ways to enhance data quality and reliabilityIdentify opportunities for data acquisitionDevelop analytical tools and programsDevelops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.Writes unit/integration tests, contributes to engineering wiki, and documents work.Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.Works closely with a team of frontend and backend engineers, product managers, and analysts.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Designs data integrations and data quality framework.Designs and evaluates open source and vendor tools for data lineage.

Requirements And Skills

Previous experience as a data engineer or in a similar roleTechnical expertise with data models, data mining, and segmentation techniquesKnowledge of programming languages (e.g. Java and Python)Hands-on experience with SQL database designGreat numerical and analytical skills