# Azure Data Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-07-16

**Salary:** INR 800,000–2,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 800000 - Rs 2000000 (ie INR 8 - 20 LPA)**

Min Experience: 5+ years

Location: Bengaluru, Hyderabad, Telangana, India, Pune, Kolkata, West Bengal, India, Chennai, Tamil Nadu, India  
JobType: full-time

**Mandatory Skills: Python, PySpark, Etl, Sql, Azure Databricks, Azure Datafactory.**

**Primary Roles and Responsibilities:** 

● Developing Modern Data Warehouse solutions using Databricks and AWS/ 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

## Requirements

**Skills and Qualifications:**   
● Bachelor's and/or master’s degree in computer science or equivalent experience.   
● Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.   
● Deep understanding of Star and Snowflake dimensional modelling.   
● Strong knowledge of Data Management principles   
● Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture   
● Should have hands-on experience in SQL, Python and Spark (PySpark)   
● Candidate must have experience in AWS/ Azure stack   
● Desirable to have ETL with batch and streaming (Kinesis).   
● Experience in building ETL / data warehouse transformation processes   
● Experience with Apache Kafka for use with streaming data / event-based data   
● Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)   
● Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)   
● 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.  
 

### Must-have skills

Azure Databricks, PySpark, SQL

### Good-to-have skills

Python, Azure Data Factory, ETL

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/7FC1456054/apply)

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