Lead Azure Data Engineer - DataLake / Synapse Analytics

Job Description :

As a Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it.

You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products!.

You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding :

• Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale.
• Lead Data Engineers to define, build and maintain Data Platform.
• Work on building Data Lake in Azure Fabric processing data from multiple sources.
• Migrating existing data store from Azure Synapse to Azure Fabric.
• Implement data governance and access control.
• Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards.
• Present technical solutions, capabilities, considerations, and features in business terms.
• Effectively communicate status, issues, and risks in a precise and timely manner.
• Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality.
• Leading team and Mentor junior resources.
• Help your team members grow in their role and achieve their career aspirations.
• Build data systems, pipelines, analytical tools and programs.
• Conduct complex data analysis and report on :
• 6+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric.
• Degree in Computer Science, Data Science, Mathematics, IT, or similar field.
• Must have experience executing projects end to end.
• At least one data engineering project should have worked in Azure Synapse, ADF or Azure Fabric.
• Should be experienced in handling multiple data sources.
• Technical expertise with data models, data mining, and segmentation techniques.
• Deep understanding, both conceptually and in practice of at least one object orientated library (Python, pySpark).
• Strong SQL skills and a good understanding of existing SQL warehouses and relational databases.
• Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks.
• Build large-scale batches and real-time data pipelines.
• Ability to work independently and mentor junior resources.
• Desire to lead and develop a team of Data Engineers across multiple levels.
• Experience or knowledge in Should have experience or knowledge in Data Governance.
• Azure Cloud experience with Data modeling, CI\CD, Agile Methodologies, Information :

What do you get in return?.

Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.

Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.

ref : hirist.tech)