Purpose of Job:

The Data Engineer will have the responsibility for the design and maintenance of enterprise data warehouse for various projects, as well as providing on-going support for activities impacting all enterprise databases. The ideal candidate will have hands-on experience with Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Function App, Logic App, REST APIs, mapping dataflow, and Event Hub. As a key member of our team, you will collaborate with various stakeholders to ensure efficient data flow, storage, and integration, while employing best practices in data engineering.

Main Activities:

• 1. Developing of Data Pipelines (50%)

• Design, develop, and maintain scalable Synapse pipelines for data ingestion, processing, and transformation in Azure data platform.

• Develop and optimize T-SQL and Python-based data processing scripts and integrate them with Synapse pipelines for ETL tasks and data transformations.

• Design and develop mapping dataflow solutions for complex data transformations.

• Develop and maintain data storage solutions, ensuring efficient data retrieval and storage on Azure Data Lake and databases.

• Implement and maintain API integrations, including REST APIs, for seamless data flow between systems.

• Design and test the end-to-end process for data ingestion, data transformation, data cleansing, data delivery, data quality and data timeliness.

• Implement and ensure data security and privacy measures, complying with industry standards and regulations.

• Monitor and optimize the performance of Azure data services, Azure Synapse pipelines, Function Apps, and Logic Apps.

• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.

• 2. Requirements gathering and Technical Documentation (10%)

• Participate in Joint Application Development sessions with business units to gather and understand their data and reporting requirements.

• Create and maintain technical documentations for tools, development, and procedures.

• 3. Data Strategy and Planning (10%)

• Provide inputs and assist in enablement of Cloud based data solutions.

• Develop and recommend innovative approaches to solve business and technical problems.

• Work and collaborate with the larger team to exchange knowledge, solutions, and practices to build a more consistent, robust approach to development.

• 4. Support and Maintenance of Enterprise Data Warehouse and BAU Tasks (30%)

• Continuously improve performance and proactively identify and resolve bottlenecks that will reduce time to build and deliver our products.

• Troubleshoot and resolve data-related issues in a timely manner for production and other environments (DEV,UAT,QA)

• Perform business as usual tasks (BAU) that assigned

Skills/Knowledge Requirements:

• Bachelor's degree or equivalent in the field of Computer Science or Engineering
• 3+ years of Proven experience as a Data Engineer, specifically working with Microsoft Azure technologies.
• Proficient in T-SQL, Pyspark, Mapping Dataflow and Python programming language
• Hands-on experience with Azure data services, including Azure Data Factory, Azure Data Lake, Azure Function App, Azure Logic App, Azure SQL Database, Azure Synapse Analytics, mapping dataflow, and Event Hub.
• Understanding of data warehousing concepts and best practices.
• Experience with Data modeling.
• Experience in working with structured, semi-structured and unstructured data.
• Excellent written and verbal communication skills
• Excellent multi-tasking and organizational skills