Azure DBX


18LPA - 35LPA

Min Experience

5 years





About the role

Location: Bangalore, Gurugram, Pune, Kolkata, Chennai - Fulltime

Role: Azure Data Engineer

 Experiance - 5 - 9 years

We are looking for big data analytics services and solutions company that provides actionable analytical solutions to industry domains.


WE focused on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Headquartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and SouthEast Asia. We are seeking an experienced data scientist who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential.



Primary Roles and Responsibilities:


 ● Developing Modern Data Warehouse solutions using Databricks and Azure Stack

 ● Ability to provide solutions that are forward-thinking in data engineering and analytics space

● Collaborate with DW/BI leads to understand new ETL pipeline development requirements.

● Triage issues to find gaps in existing pipelines and fix the issues

 ● Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs

● Help joiner team members to resolve issues and technical challenges.

● Drive technical discussion with client architect and team members

● Orchestrate the data pipelines in scheduler via Airflow Skills and




● Must have a total 5+ yrs. of IT experience experience in Data warehouse/ETL projects.

● Deep understanding of Star and Snowflake dimensional modeling.

● Strong knowledge of Data Management principles

● Good understanding of Databricks Data & AI platform ans ADB

● Should have hands-on experience in SQL, Python and Spark (PySpark)

● Candidate must have experience in Azure stack

● Desirable to have ETL with batch and streaming (Kinesis).

● Experience in building ETL / data warehouse transformation processes

● Experience working with structured and unstructured data including imaging & geospatial data.

● Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.

● Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot

● Databricks Certified Data Engineer Associate/Professional Certification (Desirable).

● Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects

● Should have experience working in Agile methodology

● Strong verbal and written communication skills.

● Strong analytical and problem-solving skills with a high attention to detail.


Mandatory Skills: / PySpark / Spark with Azure/Databricks/SQL/Python/Azure Data factory


Azure Databricks
Extract, Transform, Load - ETL