01
TRCD-26-06827
Python~ Scala
This contract role is for a Spark/Scala developer working on the development, delivery, and support of Spark applications; the specific product or industry is not stated. The main requirements are strong Scala development on Spark, Spark architecture and optimization knowledge, complex DAG development and troubleshooting, Spark UI metrics analysis, and end-to-end SDLC capability. AWS knowledge and AI capabilities are listed as desirable rather than required. The structured experience range is 6–8 years, while the description gives a broader desired range of 6–15 years; the stated locations are Noida, Bangalore, Hyderabad, Gurugram, Pune, Kochi, and BBSR, with India as the overall location and no work mode specified. The supplied role title “Python~ Scala” differs from the description’s “Spark/Scala Developer,” and Python is not clearly stated as a required technical skill.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
This contract role is for a Spark/Scala developer working on the development, delivery, and support of Spark applications; the specific product or industry is not stated. The main requirements are strong Scala development on Spark, Spark architecture and optimization knowledge, complex DAG development and troubleshooting, Spark UI metrics analysis, and end-to-end SDLC capability. AWS knowledge and AI capabilities are listed as desirable rather than required. The structured experience range is 6–8 years, while the description gives a broader desired range of 6–15 years; the stated locations are Noida, Bangalore, Hyderabad, Gurugram, Pune, Kochi, and BBSR, with India as the overall location and no work mode specified. The supplied role title “Python~ Scala” differs from the description’s “Spark/Scala Developer,” and Python is not clearly stated as a required technical skill.
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
Desired Competencies (Technical/Behavioral Competency)
03
In depth experience of the Software Development Lifecycle (SDLC) right from requirement analysis, documentation (functional specifications, technical design), coding and testing (preparation of test cases, along with implementation) to maintain the proposed applications.
04
In-depth Experience in development of complex DAGs and troubleshooting of DAG failures
05
Detailed Understanding of Spark UI, ability to read & decode SPARK UI parameters & metrics
06
Excellent SCALA coding on top of SPARK architecture
07
Good understanding of SPARK architecture, optimization techniques, etc.
08
Good written & oral communication skills & strong team player
09
Responsibility of / Expectations from the Role
10
Work independently or with Integration Lead/Tech Lead and/or Project Manager to participate in deliveries.
11
Gather requirements and prototype the developments.
12
Ability to work with the team that can be geographically dispersed, in planning support and be available to support or guide as and when necessary.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Apache Spark
Required
02
Spark
Required
03
Scala
Required
04
SQL
Required
05
Spark SQL
Required
06
Spark UI
Required
07
Spark architecture
Required
08
DAG
Required
09
Directed Acyclic Graph
Required
10
SDLC
Required
11
Spark optimization
Required
12
Spark metrics
Required
13
Spark stages
Required
14
Spark tasks
Required
15
Spark executors
Required
16
Spark driver
Required
17
AWS
Required
18
AI
Required
19
Python
Required
20
distributed data processing
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
End-to-end SDLC experience, including requirements analysis, functional and technical documentation, coding, testing, and application maintenance
Development of complex DAGs and troubleshooting DAG failures
Ability to interpret Spark UI parameters and metrics
Strong Scala coding on the Spark architecture
Understanding of Spark architecture and optimization techniques
Strong written and oral communication and team collaboration
Preferred
Nice to Have
AWS experience and knowledge
AI capabilities
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~ Scala
One page, about two minutes. We only ask for what we actually need to have a first conversation.