Sr. Data Engineer
Hybrid, 3 days onsite, 2 days remote We are unable to sponsor as this is a permanent full-time role A prestigious company is looking for a Senior Data Engineer. This engineer will focus on data motels, ETL, ELT, and data engineering. They will focus on implementing data warehouse, data mart, and data lakes while working with Azure cloud data tools.
Responsibilities:
This engineer will focus on data integration solutions in terms of design, build and deployment, DevOps with best-in-class data models, data quality and data architecture standards Possesses strong data capabilities in terms of data analysis, data models, and hands on expertise in crafting and deploying data pipes using Azure data platform and tools, as well as enterprise ETL tool Talend, leveraging its DQ, DI and Data Catalogue features. Accountable for the technical leadership regarding the data integration solutions and delivery. Ensuring a sound and best in class design, with enterprise implementation, deployment and operational meets the technical quality standards Responsible for planning and coordinating in carving out the needed dev/test environments, as well as defining and managing code branching/config strategies supporting concurrent releases Works with Data and Enterprise architecture team to define the data integration design/coding/deployment/operational standards and technology stack Responsible for data operations, in terms of scheduling, successful execution, and reconciliation of the data pipes in production Qualifications & Requirements Bachelor's degree in data, computer science or relevant discipline. 8
years of experience in ETL, ELT and data engineering At least 3
years of working experience on Azure data platforms Experience working in agile delivery, Jira usage and other agile delivery best practices Data architecture, Data Modeling, and data visualization experience is a plus Ability to interact with business, other teams to create data mapping documents, ETL architecture/design artifacts, performance improvements, improve delivery & operational excellence. 8
years of end-to-end implementation experience of deploying enterprise data warehouse, data mart and data lake solutions 3
years of working experience with Azure data solutions including but not limited to ADLS, Data Bricks, ADF, Synapse etc Azure ADLS/Databricks administration experience 5
years of Implementation and maintenance experience with Talend DI, DQ capabilities Demonstrable understanding of Data Governance, and enabling technical tools and technologies Recommended Skills Administration Agile Methodology Architecture Data Analysis Data Integration Data Lake Apply to this job. Think you're the perfect candidate? Apply on company site $('.external-apply-email-saved').on('click', function (event) window.ExternalApply = window.open('/interstitial?jobdid=j3r7sh5w9tpn6m1rp5g', 'ExternalApply-j3r7sh5w9tpn6m1rp5g'); ); $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities:
This engineer will focus on data integration solutions in terms of design, build and deployment, DevOps with best-in-class data models, data quality and data architecture standards Possesses strong data capabilities in terms of data analysis, data models, and hands on expertise in crafting and deploying data pipes using Azure data platform and tools, as well as enterprise ETL tool Talend, leveraging its DQ, DI and Data Catalogue features. Accountable for the technical leadership regarding the data integration solutions and delivery. Ensuring a sound and best in class design, with enterprise implementation, deployment and operational meets the technical quality standards Responsible for planning and coordinating in carving out the needed dev/test environments, as well as defining and managing code branching/config strategies supporting concurrent releases Works with Data and Enterprise architecture team to define the data integration design/coding/deployment/operational standards and technology stack Responsible for data operations, in terms of scheduling, successful execution, and reconciliation of the data pipes in production Qualifications & Requirements Bachelor's degree in data, computer science or relevant discipline. 8
years of experience in ETL, ELT and data engineering At least 3
years of working experience on Azure data platforms Experience working in agile delivery, Jira usage and other agile delivery best practices Data architecture, Data Modeling, and data visualization experience is a plus Ability to interact with business, other teams to create data mapping documents, ETL architecture/design artifacts, performance improvements, improve delivery & operational excellence. 8
years of end-to-end implementation experience of deploying enterprise data warehouse, data mart and data lake solutions 3
years of working experience with Azure data solutions including but not limited to ADLS, Data Bricks, ADF, Synapse etc Azure ADLS/Databricks administration experience 5
years of Implementation and maintenance experience with Talend DI, DQ capabilities Demonstrable understanding of Data Governance, and enabling technical tools and technologies Recommended Skills Administration Agile Methodology Architecture Data Analysis Data Integration Data Lake Apply to this job. Think you're the perfect candidate? Apply on company site $('.external-apply-email-saved').on('click', function (event) window.ExternalApply = window.open('/interstitial?jobdid=j3r7sh5w9tpn6m1rp5g', 'ExternalApply-j3r7sh5w9tpn6m1rp5g'); ); $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
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