PUNE · FULLTIME
Developer
Lecan Solutions
Pune · onsite · Posted 62d ago
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Section · 01
About this role
Roles and Responsibilities :
- Design, develop, test, and deploy SAP Ariba solutions for clients using various technologies such as CPI, CXML, IDOC.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality projects on time.
- Provide technical guidance to junior team members and contribute to knowledge sharing within the team.
- Troubleshoot issues related to SAP Ariba implementation and provide timely resolutions.
Job Requirements :
- 7.5-12 years of experience in developing SAP Ariba applications with expertise in CPI, CXML, IDOC.
- Strong understanding of SAP S/4HANA platform and its integration with other systems through APIs (CPI) or messaging protocols (CXML).
- Experience working on large-scale projects involving multiple stakeholders and tight deadlines.
- Excellent problem-solving skills with ability to troubleshoot complex issues independently.
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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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Culture
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Career growth
2.9
Work-life
4.3
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