| Lead Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Nidhi yadav, Tek inspirations [email protected] Reply to: [email protected] Hello, Hope you are doing well.. I have positions for . Lead Data Engineer in Location:: Remote with our client. Kindly review the job description below and see if it might be an option worth considering. Role : Lead Data Engineer Location: 100% Remote Duration: 12+ months contract ONLY- USC, GC, GC-EAD Need Lead consultants 12+ years of experience. LinkedIn is must Main Skills: Data Engineer, ETL, AWS, Oracle, Redshift The key will be to make sure candidates are not only technically strong but very solid in laying out and communicating solutions. Lead Data Engineer will work closely with Financial Services data owners, business stewards, and technical stewards to ensure that Financial Services data remains decision ready for Financial Services staff through resilient automated pipelines and systems. When data irregularities occur and cannot be resolved through automated means, the engineer is the point of contact for issue resolution. Responsibilities Works with business stakeholders and IT to translate business logic into scalable data and analytic solutions The Financial Services Data Engineers work as a centralized, but dedicated team. The lead data engineer will primarily support a specific Financial Services team directly but will also support other teams as needed Works with business stakeholders to ensure Financial data is decision ready and reliably meets quality standards defined by stakeholders throughout the data lifecycle Develops ETL pipelines, typically leveraging existing patterns as available for specific project execution Identifies scalable approaches for resolving data quality or consistency issues Works with various Financial Services stakeholders to understand, document, and scope process improvements needed for new and existing financial data pipelines Maintains a solid understanding of the Client suite of data enginnering tools (dbt, AWS, Apache Airflow, Databricks, Alteryx, APIs) Leads implementation of new capabilities, processes, and technical patterns within Financial Services Leads and is responsible for multiple data projects across Financial Services Works with IT and Enterprise Analytics to develop data models to enable data science and analytical requests from Financial Services staff Owns and is accountable for data model and code quality as well as relevant documentation Learns and maintains business context of the Financial Services team they are supporting through data Minimum Qualifications Strong analytical and data modeling skills Solid understanding of database technology Strong skills in SQL and Python Experience using GitHub or similar code repository Fast learner and proven problem solver Excellent oral and written communication skills Business-results and customer-focused orientation. Seeks to understand business needs and works to anticipate, identify, and meet end-user needs Preferred Qualifications ( but are a great importance to the client for the Data Architecture. ) Experience using the AWS big data technology stack, e.g., AWS S3, Redshift Experience in Apache Airflow Experience using data visualization tools Experience implementing data governance principles Experience with Oracle (ERP) Financial modules Experience with dbt Experience with Databricks Regards, Nidhi Yadav Technical recruiter | TEK Inspirations LLC 13573 Tabasco Cat Trail, Frisco, TX 75035 Email: [email protected] Direct :- 469 - 638 -7409 Keywords: sthree information technology green card Texas |
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| Fri Jan 05 16:31:00 UTC 2024 |