BENGALURU · FULLTIME
Kinaxis RR-Application Lead/Technology Delivery Lead
Lecan Solutions
Bengaluru · onsite · Posted 5d ago
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Section · 01
About this role
Hiring for CMM Level 5 MNC-Tier1
Kinaxis Rapid & Response
Project Role : Application Lead/Technology Delivery Lead
Locations Available: PAN India(Tier1 & Tier2 locations as well)
Experience Required: 12 -20 years
Must have skills-Kinaxis
Educational Qualification : 15 years full time education
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Facilitate training and knowledge sharing sessions to enhance team capabilities.
- Monitor project progress and implement necessary adjustments to meet deadlines.
- Implementing ETL solutions to integrate Kinaxis Rapid Response and similar other SCM software in client environment
- Experience in leading technical design for inbound / outbound processes
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Kinaxis.
- Strong understanding of application design and development methodologies.
- Experience with project management tools and techniques.
- Ability to analyze complex problems and develop effective solutions.
- Familiarity with integration processes and data management.
Additional:
- Talend experience will be an added advantage
- Rapid Response Integration Consultant certification will be a plus
- SQL/SSIS experience will be an added advantage
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Section · 02
Skills
Section · Company
About Lecan Solutions
Lecan Solutions
Recruitment
51-200
employees
2004
22 years old
Naraina
IN
₹2.7L PA avg
Avg at Lecan Solutions
About
Job Description Python Spark Developer
Position
Python Spark Developer
Experience
3 to 7 Years
Work Location
- Chennai – Sholinganallur SEZ
- Bangalore – RMZ Ecoworld, Bellandur
Job Summary
We are seeking a highly skilled Python Spark Developer with strong expertise in big data technologies and distributed data processing. The ideal candidate should have hands-on experience in Python, Apache Spark, SQL, Unix Shell Scripting, and Airflow, along with a solid understanding of the Hadoop ecosystem.
The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data processing applications while collaborating with cross-functional teams and mentoring junior developers.
Key Responsibilities
- Develop and maintain scalable applications using Python and Apache Spark.
- Design and implement data processing pipelines using:
- Spark Core
- Spark SQL
- Spark Streaming
- Work extensively with the Hadoop Ecosystem for distributed data processing.
- Perform data manipulation, transformation, and analysis using Pandas.
- Develop and manage workflows using Apache Airflow.
- Write efficient and optimized SQL queries and Unix Shell scripts.
- Design low-latency, high-availability, and high-performance applications.
- Perform coding, testing, debugging, troubleshooting, and deployment activities.
- Monitor and optimize application performance, scalability, and usability.
- Implement automation and performance tuning solutions.
- Lead and mentor junior Python developers and provide technical guidance.
- Collaborate with stakeholders, architects, analysts, and development teams to deliver quality solutions.
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Employee ratings
10 reviews
Culture
4.2
Career growth
2.9
Work-life
4.3
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