01
TRCD-26-05162
Azure Data Engineer
Contract Azure Data Engineer (4–6 years) needed in Bengaluru to design, build, and optimize scalable ETL/ELT data pipelines on Azure. The role focuses on Azure Data Factory, Azure Databricks with PySpark/Apache Spark, strong SQL and query optimization, and data warehousing/dimensional modeling, with responsibilities spanning data integration, data quality (profiling/cleansing/validation), pipeline monitoring/performance tuning, and supporting analytics/BI while following governance and best practices (Git, CI/CD, Agile).
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 4 years and Maximum 6 years
Role overview
Why This Role Matters.
Contract Azure Data Engineer (4–6 years) needed in Bengaluru to design, build, and optimize scalable ETL/ELT data pipelines on Azure. The role focuses on Azure Data Factory, Azure Databricks with PySpark/Apache Spark, strong SQL and query optimization, and data warehousing/dimensional modeling, with responsibilities spanning data integration, data quality (profiling/cleansing/validation), pipeline monitoring/performance tuning, and supporting analytics/BI while following governance and best practices (Git, CI/CD, Agile).
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Build and enhance enterprise Data Warehouse solutions and dimensional data models.
03
Develop complex data transformations and processing frameworks using PySpark and Databricks.
04
Create, optimize, and troubleshoot advanced SQL queries, stored procedures, and database objects.
05
Integrate data from multiple structured and unstructured data sources.
06
Perform data profiling, cleansing, validation, and reconciliation activities.
07
Work closely with Data Analysts, Business Teams, and Solution Architects to translate business requirements into data solutions.
08
Ensure data quality, integrity, security, and governance standards are maintained.
09
Monitor and optimize data pipelines for scalability, reliability, and performance.
10
Support reporting, advanced analytics, and business intelligence initiatives.
11
Participate in code reviews, design discussions, and implementation of best practices.
12
Strong hands-on experience in Data Engineering (4–6 years).
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Microsoft Azure
Required
02
Azure Data Factory
Required
03
ADF
Required
04
Azure Databricks
Required
05
Databricks
Required
06
PySpark
Required
07
Apache Spark
Required
08
Spark SQL
Required
09
SQL
Required
10
T-SQL
Required
11
Data Warehouse
Required
12
Dimensional Modeling
Required
13
Star Schema
Required
14
Snowflake Schema
Required
15
ETL
Required
16
ELT
Required
17
ADLS
Required
18
Azure Data Lake Storage
Required
19
Azure Synapse Analytics
Required
20
Synapse
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Azure Data Factory (ADF)
Azure Databricks
PySpark
Apache Spark
SQL (advanced)
SQL query optimization
ETL/ELT pipeline development
Data Warehousing concepts
Dimensional modeling (star/snowflake)
Azure Data Lake Storage (ADLS)
Data integration (structured and unstructured sources)
Data profiling, cleansing, validation, reconciliation
Troubleshooting and performance tuning for pipelines/jobs
Data quality, integrity, security, governance (awareness/implementation)
Preferred
Nice to Have
Azure Synapse Analytics
Git/version control
CI/CD pipelines
Agile/Scrum
Docker/containerization
Product engineering or digital transformation exposure
Strong communication and stakeholder collaboration
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Azure Data Engineer
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