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Senior Data Engineer

Salary - 155K - 175K + Bonus

You will drive the 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.

Technologies/Software

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

SELLING POINTS: Data analysis data models azure data platform etl tool talend end-to-end implementation deploying enterprise data warehouse data mart data lake solutions azure data solutions ADLS data bricks ADF synapse azure ADLS data bricks administration talend DIDQ understand of data governance.