Azure DBT Data Engineer Lead

Intraedge Technologies is hiring Azure DBT Data Engineer Lead job in Pune | Cutshort

Azure DBT Data Engineer Lead
Azure DBT Data Engineer Lead

10
\- 12 yrs
₹25L - ₹45L / yr
Pune
Skills
Azure Synapse, Azure Data Factory, DBT,Data Build Tool, MDM, Azure...
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.
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Founded
:
2002
Type
:
Products & Services
Size
:
1000-6000
Stage
:
Bootstrapped
About
Founded in 2002 with offices in the US, India, Europe, Canada, and Singapore, we've got national and international scope and reach, backed by decades of experience and deep domain expertise. AT HEART, WE ARE A TECHNOLOGY, PRODUCTS AND SERVICES ORGANIZATION. In our soul, it's the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative products, solutions and value for our national and international clients.
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