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Lead Data Engineer
3 months ago
Role : As an Azure Lead Data Engineer :
- You will be empowered to make effective decisions
- Work collaboratively with our global team
- Take accountability for projects
- And work on leading industry technology trends.
Role description :
As an Azure Lead Data Engineer, your main responsibility is to design, develop, and oversee data systems on the Microsoft Azure cloud platform.
You will lead a team of data engineers and collaborate with other teams to ensure the reliability and scalability of our data systems.
If you thrive on the challenges posed by big data, then this role is perfect for you. We are seeking Data Engineers who can handle a high volume of events daily, manage petabyte-scale data on Azure SQL, Azure Synapse Analytics and Azure Data Lake, and create data pipelines using technologies such as ADF, Synapse Pipeline, Synapse notebook (PySpark/SparkSQL) and SQL
Responsibilities :
- Design and analyze big data, data modelling, and developing, deploying, and managing big data pipelines.
- Operate at the intersection of data and engineering.
- You should have a deep understanding of data, analytical techniques, and how to apply insights to drive business outcomes.
- Implement large-scale data processing systems on Azure, including data ingestion, storage, processing, and visualization.
- Develop data integration and migration strategies to move data from legacy systems to Azure.
- Building data pipelines and ETL workflows using Azure Data Factory, Azure Databricks, or other relevant tools.
- Designing and implementing data models, data warehouses, and data lakes using Azure Synapse Analytics, Azure SQL Data Warehouse, or other relevant tools.
- Build our data portfolio and collaborate with Product, Marketing, BI, and ML teams to create new behavioural events, pipelines, datasets, models, and reports to support their initiatives.
- Working with data scientists and analysts to understand their data requirements and ensure that the data infrastructure supports their needs.
- Monitoring and troubleshooting the performance and availability of the data systems and implementing strategies to improve their reliability and scalability.
- Managing security and access controls for the data systems, including managing roles and permissions, implementing encryption, and complying with regulatory requirements.
- Enhance our offline analytics capabilities in Tableau and expand our real-time dashboarding capabilities.
- collaborating with Coda to construct data pipelines and datasets, as well as expanding self-service data knowledge.
- Additionally assist in recruiting, mentoring, and developing colleagues in the Data Analytics team, Data Scientists, Data Engineers, and Software Engineers.
- Mentoring and guiding junior data engineers and providing technical leadership to the team.
Skills Required :
- Practical experience in maintaining the highest operational standards for ETL and big data pipelines is essential.
- Azure technologies such as Azure SQL, Azure Data Factory, Azure Synapse, Azure Dedicated SQL Pool, Azure Data Lake, Azure Databricks, PySpark, SparkSQL, Azure Analysis Services, SSIS, PowerBI, and Data Modelling.
We are looking for talented, enthusiastic, and detail-oriented individuals with a background in Data Engineering, Data Science, Business Intelligence, or Software Development passionate about working in a agile manner in cutting edge technology of cloud and Data
If you are someone who has strong hands-on expertise in domains such as Big data and Azure technologies, please apply.
