Data Engineer
Claritev
4h ago
0$100k - $110kDataUnited Stateshimalayas
Data-EngineerData-Engineering-SpecialistData-Engineering-PositionsData-Engineering-AssociateDataOps-EngineerAssociate-Data-EngineerMid-level
Job Description
Role OverviewJoin Claritev's dynamic team of innovative professionals to develop and deploy Data Engineering Platform and Integration Solutions. Work closely with the Data Engineering team to implement data solutions for the organization using Python, PySpark, and other big data solutions.What You Will DoImplement data structures, workflows, and integrations between enterprise platforms to ensure accurate and timely execution of business processes. Maintain scalable data pipelines, manage and improve database performance, and create and maintain data warehouse, databases, tables, SQL queries, and ingestion pipelines.Why It Might Be a FitThis role is ideal for a detail-oriented individual with strong problem-solving skills and experience with advanced analytics tools, database development, and data governance. The successful candidate will be able to work independently, rely on judgment and experience to complete job responsibilities, and collaborate with cross-functional teams.RequirementsHigh School Graduate4+ years' related experience2+ years' experience with schema designing, developing, and maintaining data processing systemsExperience with advanced analytics tools for Object-Oriented/object function scripting using languages such as Python and PySparkDatabase development experience using ETL Process, SQL, SPARK, or BigQueryExperience with Delta Lakes and Data Warehouse, use of DatabricksExperience in triaging data issues, analyzing end-to-end data pipelines, and working with business users in resolving issuesExperience in working with data governance/data quality and data security teamsExposure to agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelinesExcellent communication skills (verbal, listening, and writing)Ability to build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload managementStrong attention to detail when identifying data relationships, trends, and anomaliesAbility to meet strict deadlines, work on multiple tasks, and work well under pressureBenefitsMedical, dental, and vision coverage with low deductible & copayLife insuranceShort and long-term disabilityPaid Parental Leave401(k) + matchEmployee Stock Purchase PlanGenerous Paid Time Off – accrued based on years of service10 paid company holidaysTuition reimbursementFlexible Spending AccountEmployee Assistance ProgramSick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar yearOriginally posted on Himalayas
