Location: New Albany,OH, USA
Job DescriptionInsight Global is looking for a remote Data Engineer. Candidates will team up with the engineering teams and enterprise architecture (EA) to define standards, design patterns, accelerators, development practices, DevOps and CI/CD automation while creating and maintaining the data ingestion, quality testing and audit framework. Candidates will conduct complex data analysis to answer the queries from Business Users or Technology team partners either directly from Analysts or stemmed from one of the Reporting tools suchs PowerBI, Tableau, OBIEE and build and automate the data ingestion, transformation and aggregation pipelines using Azure Data Factory, Databricks / Spark, Snowflake, Kafka as well as Enterprise Scheduler tools such as CA Workload automation or Control M. Candidates will setup and evangelize the metadata driven approach to data pipelines to promote self service and continuously improve the data quality and audit monitoring as well as alerting while constantly evaluate the process automation options and collaborate with engineering as well as architecture to review the proposed design.Additional Responsibilities:Demonstrate mastery of build and release engineering principles and methodologies including source control, branch management, build and smoke testing, archiving and retention practicesAdhere to and enhance and document the design principles, best practices by collaborating with Solution and in some cases Enterprise ArchitectsParticipate in and support the Data Academy and Data Literacy program to train the Business Users and Technology teams on DataRespond SLA driven production data quality or pipeline issuesDocument the Data Flow Diagrams, Data Models, Technical Data Mapping and Production Support Information for Data PipelinesPay Rate: $45-60/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ...@insightglobal.com .To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .Skills and RequirementsSenior level experience in an Enterprise Data Management or Data Engineering role3+ of hands on experience in building metadata driven data pipelines using Azure Data Factory, Databricks / Spark for Cloud Datalake5+ years hands on experience with using one or more of the following for data analysis and wrangling Databricks, Python / PySpark, Jupyter NotebooksExpert level SQL knowledge on databases such as but not limited to Snowflake, Netezza, Oracle, Sql Server, MySQL, TeradataExperience working in a multi developer environment and hands on experience in using either azure devops or gitlab Preferably experienced in SLA driven Production Data Pipeline or Quality supportExperience or strong understanding of the traditional enterprise ETL platforms such as IBM Datastage, Informatica, Pentaho, Ab Initio etc. experience on one or more of big data technologies such as Cloudera Hadoop, Pivotal, Vertica, MapRFunctional knowledge of some of the following technologies - Terraform, Azure CLI, PowerShell, Containerization (Kubernetes, Docker)Functional knowledge of one or more Reporting tools such as PowerBI, Tableau, OBIEE nullWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ...@insightglobal.com.