Advanced Data Engineer|| Cincinnati, OH(Local Only)|| Client: Kroger || USC & GC Only…!!! Please Reply.

Job Title: Advanced Data Engineer

Location: Cincinnati, OH (Hybrid; 2-3Days/week onsite)- Need Local

Duration: 6+ months Contract

MOI: Phone/Skype

Visa: GC/USC

Client: Kroger

 

Need active LinkedIn profiles.

 

Job Description:

Team: Retail Sales Domain

 

Must Haves:

  • Any experience with Databricks (including Delta/Delta live pipeline implementation, Databricks asset bundles, etc)
  • Any experience with Python, Spark and SQL
  • Any experience with Azure Data Platform stack: Azure Data Lake, Data Factory ,Storage containers etc

 

Additionals to Have:

  • Any experience with Databricks Unity Catalog
  • Any experience with Github (including CI/CD implementation, Github actions etc)
  • Any experience with Terraform
  • Any experience with streaming technologies like Kafka, IBM MQ and EventHub
  • Any experience with data science solutions or platforms
  • Any experience with a variety of SQL, NoSQL and Big Data Platforms
  • Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)

 

Description / Deliverables:

  • Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions
  • Interpreting data, analyzing results using statistical techniques
  • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources and maintaining databases
  • Experience in administration and configuration of API Gateways (e.g. Apigee/Kong) Apply cloud computing skill to deploy upgrades and fixes
  • Design, develop, and implement integrations based on use feedback.
  • Troubleshoot production issues and coordinate with the development team to streamline code deployment.
  • Implement automation tools and frameworks (Ci/CD pipelines).
  • Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products.
  • Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
  • Deliver quality customer service and resolve end-user issues in a timely manner
  • Draft architectural diagrams, interface specifications and other design documents
  • Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
  • Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio
  • Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
  • Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
  • Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes
  • Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
  • Mentor team members in data principles, patterns, processes and practices
  • Promote the reuse of data assets, including the management of the data catalog for reference
  • Draft and review architectural diagrams, interface specifications and other design documents

 

 
 

Regards,

Shweta Singh | Voto Consulting LLC. |

1549 Finnegan Lane, 2nd floor

North Brunswick, NJ 08902 | http://www.votoconsulting.com

Direct Voice: 2012993546| Desk: 201-297-1611 Ext: 153 | [email protected]

LinkedIn: https://www.linkedin.com/in/shweta-singh-14296922a/

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