Data Engineer

Applied Thought Auditors & Consultants in Chicago, IL

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $91,730.00 - 131,820.00 / Year*
JOB DESCRIPTION The Data Engineer will collaborate with various other IT groups, business partners and external service providers and play a key role in the design, development and operations of our new analytics platform, the ldquo(ZDP)rdquo. Job Responsibilities Include Participate in Requirements Gathering work with key business partner groups (e.g. Product Mgt) and other Data Engineering personnel to understand department-level data requirements for the ZDP Design Data Pipelines work with other Data Engineering personnel on an overall design for flowing data from various internal and external sources into the ZDP Build Data Pipelines leverage standard toolset and develop ETLELT code to move data from various internal and external sources into the ZDP Support Data Quality Program work with Data QA Engineer to identify automated QA checks and associated monitoring alerting to ensure ZDP maintains consistently high quality data Support Operations triage alerts channeled to you and remediate as necessary Technical Documentation leverage templates provided and create clear, simple and comprehensive documentation for your development Key contributor to defining, implementing and supporting Data Services Data Dictionary Tool Standards Best Practices Data Lineage User Training Skills Responsibilities Strong ELT ETL designerdeveloper Strong SQL Strong Python Structured unstructured data expertise Cloud environment development operations experience (e.g. AWS, GCP) Preference for candidates experienced with Google Cloud Platform (GCP) and associated services e.g. BigQuery, GCS, Cloud Composer, Dataproc, Dataflow, Dataprep, Cloud PubSub, Metadata DB, Data Studio, Datalab, other Other important tools Apache Airflow (scheduler), Bitbucket and git (version control), Stackdriver (ops monitoring), Opsgenie (alert notification), Docker Real-time data replicationstreaming tools Data Modeling Excellent verbal and written communications Strong team player Success Criteria Strong analytical thinking and problem solving skills Superior communication and business-technical interaction skills Positive, ldquoget it donerdquo attitude Ability to multi-task and manage multiple activities with varying timelines To qualify, you must possess the following skills Bachelorrsquos degree in computer science, management information systems, or a related discipline 5+ years hands-on ETLELT designdevelopment experience Key resource on team(s) that have delivered successful enterprise-level analytics platformsPandoLogic. Category: Technology, Keywords: Data Engineer
Associated topics: data administrator, data analyst, data center, data integration, data management, data quality, database, etl, hbase, mongo database administrator

* Estimated salary

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