Job Description:
As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.
Responsibilities:
- Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
- Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
- Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
- Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
- Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.
Qualifications:
- BE Computer Science or a related field.
- ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
- Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Proficiency in DBT (Data Build Tool) for data transformation and modelling.
- Experience working with any Master Data Management (MDM) tools.
- Experience with data governance and metadata management tools such as Azure Purview or similar.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Strong leadership skills with the ability to lead and mentor a team of engineers.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon