Azure Data Engineering
At a glance
Mid-level Data Engineering role at Datazymes. Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build data pipelines in Azure and use Azure Data Factory to move and prepare data
- Set up Azure Data Lake for both structured and unstructured information
- Design database schemas, write complex queries and manage batch jobs with their dependencies
- Create Azure CI/CD pipelines through GitHub and deliver solutions with limited supervision
What you bring
- A bachelor's or master's degree in computer science or information technology
- Hands-on experience creating Azure pipelines, using Data Factory and setting up Azure Data Lake
- Strong skills in Azure Storage and Functions, database design, complex queries and GitHub-based CI/CD
Who this fits
This mid-level, full-time role is based onsite in Bangalore. It suits a self-directed engineer who can design and deliver solutions with little supervision; data warehousing, ETL, big data processing or Pharma experience is a plus.
From the employer
DataZymes Analytics is a cutting-edge and innovative data analytics company working with Life Sciences clients that empowers businesses and organizations to unlock the true potential of their data. Our mission is to harness the power of data and transform it into actionable insights, enabling our clients to make informed decisions and gain a competitive edge in today's data-driven world.
With a team of highly skilled data scientists, analysts, and engineers, DataZymes Analytics is committed to delivering top-notch solutions tailored to the unique needs of each client. Aided by our suite of cutting-edge products and accelerators, we are helping our Pharma clients on their Data to Insights journey. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry.
What sets us apart is our dedication to accuracy, efficiency, and innovation. We utilize the latest technologies and industry best practices to ensure the highest quality of work and the fastest turnaround times. Moreover, our agile approach allows us to adapt quickly to changing requirements and deliver exceptional results within the most demanding timelines.
- Experience in setting up data pipelines in Azure.
- Experience with Azure Data Factory
- Experience with setting up Azure Data Lake with structured/unstructured data.
- Candidate needs to be a self-starter and should be able to design, develop and deliver solution without much assistance or supervision.
- Strong knowledge of Azure services - Storage (AFS, Blob, Data Lake), Azure Functions.
- Strong knowledge of database - Should be able to write complex queries, schema design.
- Ability to set up CI/CD pipelines in Azure through GitHub.
- Bachelor’s or master’s degree in computer science, Information Technology
- Experience with batch job scheduling and identifying data/job dependencies.
Preferred Skills:
- Proficiency in data warehousing, ETL, and big data processing.
- Familiarity with the Pharma domain is a plus.
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