01
TRCD-26-04160
Python Data Engineer (Azure Databricks / PySpark)
Looking for a 5–8 years Python Data Engineer to build and optimize end-to-end data pipelines and algorithms using Python with Pandas/NumPy, PySpark, and SQL. The role requires strong hands-on Databricks, working knowledge of DevOps practices, and experience with Azure services including Azure Data Lake Storage. You will collaborate with engineers, researchers, and data scientists to gather requirements, perform data analysis, develop robust scalable pipelines, and independently code, test, debug, and tune solutions for performance.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 8 years
Role overview
Why This Role Matters.
Looking for a 5–8 years Python Data Engineer to build and optimize end-to-end data pipelines and algorithms using Python with Pandas/NumPy, PySpark, and SQL. The role requires strong hands-on Databricks, working knowledge of DevOps practices, and experience with Azure services including Azure Data Lake Storage. You will collaborate with engineers, researchers, and data scientists to gather requirements, perform data analysis, develop robust scalable pipelines, and independently code, test, debug, and tune solutions for performance.
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
Develop and implement Data pipelines and algorithms using Python programming language, jointly with knowledge about Pandas, NumPy, Pyspark, SQL and similar libraries.
03
Should have working knowledge in devops and should be well versed in databricks to solve real-world problems.
04
Should have working knowledge in Azure cloud data lake storage and azure services.
05
Utilize SQL for data Extraction, Transformation, and Loading (ETL) processes.
06
Work closely with engineers, researchers, and data scientists to gather requirements, perform data analysis, and develop end-to-end pipelines.
07
Independently develop, code or modify, test, and debug application programs of varying degree of complexity
08
Conduct experiments and perform data analysis to ensure the robustness, scalability, and accuracy of provided solutions
09
Bachelor's/Master’s in Computer Science or equivalent
10
Microsoft Azure Certified Developer / Azure Databricks Data Engineer
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
PySpark
Required
03
Databricks
Required
04
Azure Databricks
Required
05
SQL
Required
06
ETL
Required
07
ELT
Required
08
Pandas
Required
09
NumPy
Required
10
Azure
Required
11
Azure Data Lake Storage
Required
12
ADLS
Required
13
Data pipelines
Required
14
DevOps
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
Python (5–8+ years)
Data pipeline development (ETL/ELT)
PySpark
Databricks (hands-on)
SQL for ETL (extraction, transformation, loading)
Pandas
NumPy
Azure Data Lake Storage (ADLS)
Azure services (general working knowledge)
Debugging, testing, and performance optimization
DevOps working knowledge
Preferred
Nice to Have
Microsoft Azure Certified Developer
Azure Databricks Data Engineer certification
Documentation and knowledge sharing
Strong communication and team 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 Python Data Engineer (Azure Databricks / PySpark)
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