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Senior Azure Data Engineer at Cincinnati, Ohio, USA
Email: [email protected]
From:

abhishek,

svtcit

[email protected]

Reply to:   [email protected]

Job Title:  Senior Azure Data Engineer 

Location: Cincinnati, OH (Preferred) // Charlotte, NC // Boca Raton, FL // Chicago, IL (Candidates must be local or within 50 Miles radius to these locations)

Duration: 12+ Months Contract Role

Job Description:

Gentis Solutions is seeking a Azure Data Engineer to join our team. This full-time contract position is with an industry-leading data analytics firm interested in full-time flex/remote consultants. The ideal candidates will have the required skills listed below and will be eligible and open to be hired by the data firm at the end of the projects duration. This position will work alongside an existing team, and leverages enterprise-level technologies and processes.

Requirements:

                     Bachelor's degree (typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program)

Job Description:

Gentis Solutions is seeking a Senior Data Analyst to join our team. This contract-to-hire position is with one of our Fortune 50 clients interested in full-time flex/remote consultants. The ideal candidates will have the required skills listed below and will be eligible and open to being hired by our client at the end of the project's duration. This position works alongside an existing team and leverages enterprise-level technologies and processes. If you would like to work at a company that has been recognized for its diversity and inclusion, its work to drive positive social change, and as an environmental leader, make sure you apply below.

Requirements:
10+ years of direct experience in managing and curating data catalogs, with a proven track record of technical expertise
5+ years of experience working closely with data stewardship principles and practices, demonstrating a strong understanding of data governance and stewardship concepts
5+ Yrs. of Experience with Cloud Platforms, including Azure Data Lake Storage (ADLS), Unity Catalog, Databricks, and Azure Synapse, with a strong understanding of metadata management, security principles, and fundamental cloud concepts
Expertise with Python and SQL for querying and managing databases for data storage and retrieval
Strong experience in network administration, with a solid foundation in managing data access and security in a networked environment
Strong previous experience working with Alation or any other leading data catalog platform, showcasing proficiency in configuring and customizing such tools
Proficiency integrating data catalog processes, customizing configurations, implementing connectors, and creating data processing scripts
Familiarity with other data catalog solutions in addition to Alation, highlighting versatility and adaptability in managing various cataloging technologies
Support, maintain, and document software functionality, best practices, standards, and processes
Demonstrable critical thinking
Experience with an E-commerce or multi-channel retail environment
Excellent verbal and written communication skills
Be passionate about Metadata and Databases!

Experience in the following core technologies:

                     Azure Functions

                     Azure Data Factory

                     Azure Databricks

                     Terraform

                     Azure DevOps

                     Azure Cosmos D

                     Azure Log Analytics

                     Azure Data Lake Storage

                     Azure Service Bus

                     Azure Event Grid

                     T-SQL and SQL stored procedures 

                     GitHub / GitHub Actions

                     Proven Big Data development experience with Apache Spark (PySpark)

                     Experience developing with SQL (Postgres, Oracle, SQL Server, or any)

                     Exposure to VCS (Git, SVN) and CI/CD processes

                     Exposure to data pipeline applications such as Kafka or Flume.

                     Exposure to developing in REST APIs in python (Flask preferred)

                     Understanding of Agile Principles (Scrum)

Typical Duties:
Collaborate with cross-functional teams to contribute to and validate the technical aspects of the Data Catalog Roadmap, ensuring alignment with organizational goals and objectives
Configure and customize the data catalog platform, such as Alation, to accurately represent our organization's data landscape, making it a valuable resource for data users
Implement and maintain permissions in Alation, ensuring that the Data Catalog is used in accordance with data access policies and security protocols
Take ownership of data source-specific configurations in Alation, and delegate specific actions to Data Source Administrators, overseeing their work to maintain consistency and accuracy
Set up and manage authentication mechanisms, user accounts, groups, and other relevant security components to safeguard data access and maintain compliance
Write, maintain, and execute Security Plans, IT Playbooks, Support Plans, and Data Access Policies to ensure the reliable and secure operation of the Data Catalog
Assign specific tasks and responsibilities to other members of the technical team, ensuring efficient collaboration and workload distribution
Work closely with the product management team to prioritize data source requirements and project plans, ensuring alignment with organizational objectives
Collaborate with product management to define operational standards and procedures for the data catalog, promoting consistency and best practices
Plan and coordinate the ingestion of new or updated Business Intelligence (BI) and data sources, ensuring seamless integration into the catalog
Work with product management to define the settings and repeatable patterns for configuring new data sources and managing access permissions
Coordinate with all data management and IT organizations as required, including compliance and governance organizations, to ensure cross-functional alignment
Collaborate with the Data Discoverability team to discuss the status of data discoverability initiatives and identify both technical and non-technical issues that may arise
Report on operational service level agreements (SLAs) and support performance, providing transparency and accountability
Investigate and resolve escalated technical issues, ensuring timely resolution and minimal disruption to data users
Delegate the investigation and resolution of issues to the technical team and Data Source Administrators as appropriate, fostering a collaborative problem-solving approach
Participate in IT-related communication planning and execution, ensuring that relevant stakeholders are informed of important developments
Plan and participate in training sessions to enhance the skills and knowledge of team members and data source administrators
Recruit, train, and mentor Data Stewards and/or other team members, fostering their professional development and growth within the organization
Actively participate in program status and planning meetings, contributing valuable insights and expertise

--

Thanks & Regards

Abhishek

Sr. IT Recruiter

S V Technologies & Consulting Inc

Email:[email protected]

Keywords: continuous integration continuous deployment business intelligence information technology Florida Illinois North Carolina Ohio
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Mon Feb 05 21:45:00 UTC 2024

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Location: Cincinnati, Ohio