| 100% Remote || Data Engineering With Databricks, Spark || Long Term Contract at Remote, Remote, USA |
| Email: [email protected] |
| Need Min 10+ Years || This is Only for H1/H4 and L2 EAD Visa Please mention Visa status and Current location while sharing Resume. To get fast response, Please mention if anyone is having Implementation partner experience previously. Job Title- Data Engineering With Databricks, Spark Location: 100% Remote (Warren, N.J) Type: : Long Term Contract Mandatory Databricks-Spark SQL-Scala, (Python/Java) Job description Develop and evolve the enterprise-wide data strategy to support delivery of corporate objectives Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategy Build a framework of principles to ensure data integrity across the business including but not limited to ERP CRM BI Data warehouse external interfaces etc Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies Apply Best Practices in creating and maintaining Data Data Pipelines Data Lakes Data Sources Databases Artifacts Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models Data dictionary taxonomy to aid data traceability Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards Develop key performance measures for data integration and quality Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture Skills Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms Master data Management data integration and OLTP database solutions Possess indepth knowledge of and able to consult on various technologies Strong knowledge of industry best practices around data architecture in both cloud based and on prem solutions Strong analytical and numerical skills are essential enabling easy interpretation and analysis of large volumes of data A comprehensive understanding of the principles of and best practices behind data engineering and the supporting technologies such as RDBMS NoSQL Cache Inmemory stores Experience of architecting data solution across hybrid cloud on premise data platforms A comprehensive understanding of data warehousing and data transformation extract transform and load processes and the supporting technologies such as Amazon Glue EMR Azure Data Factory Data Lake other analytics products Experience implementing data solutions Excellent problem solving and data modelling skills logical physical sematic and integration models including normalization OLAP OLTP principles and entity relationship analysis Experience of mapping key Enterprise data entities to business capabilities and applications A strong knowledge of horizontal data lineage from source to output Excellent communication and presentational skills confident and methodical approach and able to work within a team environment Your sincerely , Ajay Sharma | Sr. Technical Recruiter. Net 2Source Inc. Fax: (201) 221-8131 | Email: [email protected] Global HQ Address: 270 Davidson Ave, Suite 704, Somerset, NJ 08873, USA Web: www.net2source.com | Social: | | -- Keywords: business intelligence information technology New Jersey 100% Remote || Data Engineering With Databricks, Spark || Long Term Contract [email protected] |
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| Tue Sep 24 20:06:00 UTC 2024 |