HYDERABAD · FULLTIME
SAP BTP Application Development
Lecan Solutions
Hyderabad · hybrid · Posted 48d ago
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Section · 01
About this role
Modified Job Posting
Project Role: Custom Software Engineer
Must Have: SAP BTP Application Development
Experience: Minimum 5+ years
Education: 15 years full-time education
Good to Have: NA
Role Focus:
Analyze, design, code, test, maintain, and enhance applications using SAP BTP Application Development. The candidate should have hands-on experience in cloud application development, SAP integration, troubleshooting, and should be capable of working as an SME and collaborating with multiple teams.
Key Skills:
- SAP BTP Application Development
- Cloud application development & deployment
- SAP integration
- Application design principles
- Troubleshooting
- SME/team collaboration
Primary Target Profile:
SAP BTP Developer / Senior SAP BTP Developer 5+ years experience.
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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
₹18L – ₹33L PA
This role
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
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Work-life
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