Data Engineer

Company:
Location: Atlanta, GA

*** Mention DataYoshi when applying ***

PRIMARY RESPONSIBILITIES

  • Build and operate stable, scalable data pipelines that cleanse, structure and integrate disparate big data sets into accessible format to support enterprise-level reporting.
  • Identify data requirements to integrate new data sources. Perform technical analytics to confirm data integration meets or exceeds defined expectations.
  • Provide proactive oversight for Tableau Server-based data source repository used as primary reporting layer for front-end developers.
  • Solve complex technical problems and mentor other technical staff on data modeling and ETL related issues.
  • Participate in requirement gathering efforts and write low-level and high-level specifications.
  • Analyze existing procedures to identify system/process changes needed to meet such requirements including but not limited to streamlining processes and quality assurance.
  • Ensure that consistent documentation is developed and actively maintained throughout all phases of work.
  • Supports development of other analysts on the team by sharing and training on best practices.
  • Assist in the successful completion of deliverables and ensure all requirements are accurately met.

MINIMUM QUALIFICATIONS

  • 4+ years of experience with data warehouse technical architectures, ETL/ELT, reporting/analytic tools and scripting.
  • 2+ years experience supporting Data Warehouse operations at a mid- to large-sized organization
  • Advanced knowledge and expertise with data modelling, data aggregation, standardization, linking, quality check mechanisms and reporting.
  • Experience in the analysis, design and development of solutions and strategies for creating extraction, transformation and loading (ETL) and real-time applications.
  • Experience with RDBMS (SQL Server, Oracle, ) and using T-SQL or other data integration/ETL tools such as SSIS. Understanding of new technologies like HDFS and NOSQL a plus.
  • Experience implementing and supporting SQL Server auditing features (Change Tracking, Change Data Capture and SQL Server Auditing) to drive ETL operations in complex data warehouse environments.
  • Strong working knowledge of semantic models associated with various BI platforms (Tableau, MicroStrategy, etc.).
  • Experience with ticketing and documentation tools such as Jira.
  • Strong knowledge of coding best practices while developing and deploying code.
  • Must be highly analytical, well-organized and possess strong attention to detail.
  • Bachelor’s degree in relevant field such as Computer Science, Engineering, a related field, or equivalent experience.

PRIMARY RESPONSIBILITIES

  • Build and operate stable, scalable data pipelines that cleanse, structure and integrate disparate big data sets into accessible format to support enterprise-level reporting.
  • Identify data requirements to integrate new data sources. Perform technical analytics to confirm data integration meets or exceeds defined expectations.
  • Provide proactive oversight for Tableau Server-based data source repository used as primary reporting layer for front-end developers.
  • Solve complex technical problems and mentor other technical staff on data modeling and ETL related issues.
  • Participate in requirement gathering efforts and write low-level and high-level specifications.
  • Analyze existing procedures to identify system/process changes needed to meet such requirements including but not limited to streamlining processes and quality assurance.
  • Ensure that consistent documentation is developed and actively maintained throughout all phases of work.
  • Supports development of other analysts on the team by sharing and training on best practices.
  • Assist in the successful completion of deliverables and ensure all requirements are accurately met.

MINIMUM QUALIFICATIONS

  • 4+ years of experience with data warehouse technical architectures, ETL/ELT, reporting/analytic tools and scripting.
  • 2+ years experience supporting Data Warehouse operations at a mid- to large-sized organization
  • Advanced knowledge and expertise with data modelling, data aggregation, standardization, linking, quality check mechanisms and reporting.
  • Experience in the analysis, design and development of solutions and strategies for creating extraction, transformation and loading (ETL) and real-time applications.
  • Experience with RDBMS (SQL Server, Oracle, ) and using T-SQL or other data integration/ETL tools such as SSIS. Understanding of new technologies like HDFS and NOSQL a plus.
  • Experience implementing and supporting SQL Server auditing features (Change Tracking, Change Data Capture and SQL Server Auditing) to drive ETL operations in complex data warehouse environments.
  • Strong working knowledge of semantic models associated with various BI platforms (Tableau, MicroStrategy, etc.).
  • Experience with ticketing and documentation tools such as Jira.
  • Strong knowledge of coding best practices while developing and deploying code.
  • Must be highly analytical, well-organized and possess strong attention to detail.
  • Bachelor’s degree in relevant field such as Computer Science, Engineering, a related field, or equivalent experience.

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*** Mention DataYoshi when applying ***

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