EWM Functional Consultant
Lecan Solutions · Hyderabad · onsite · Posted 57d ago
About a minute. You'll make an account on the way through.
About this role
Roles and Responsibilities :
- Design, implement, and maintain SAP EWM (Extended Warehouse Management) solutions for clients across various industries.
- Collaborate with cross-functional teams to understand business requirements and develop customized solutions using SAP EWM modules such as Inventory Management, Order Management, and Shipping Execution.
- Provide training and support to end-users on the usage of SAP EWM system ensuring seamless adoption and optimal performance.
- Troubleshoot issues related to SAP EWM implementation, configuration, or customization.
Job Requirements :
- 5-10 years of experience in implementing or supporting SAP EWM projects.
- Strong understanding of embedded systems integration with ERPs like SAP.
- Experience working on multiple projects simultaneously with tight deadlines.
Shilpi Kumari
Recruiting Analyst
India Recruitment
Lecan Solutions PVT LTD[email removed]
Sourced from naukri
Skills
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
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Work-life
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