Senior Manager, Manager
Lecan Solutions · Hyderabad · onsite · Posted 70d ago
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About this role
Roles and Responsibilities :
- Lead Workday implementation projects from planning to go-live, ensuring timely delivery and quality results.
- Collaborate with cross-functional teams to gather requirements, design solutions, and develop technical specifications for Workday modules such as Core HR, Absence Management, Time & Labor, Benefits Administration, Compensation Management, Recruiting & Onboarding.
- Provide expert guidance on Workday configuration best practices and troubleshoot issues related to data migration, workflows, reports & dashboards.
- Develop strong relationships with stakeholders through effective communication and issue resolution.
Job Requirements :
- 12-19 years of experience in IT services & consulting industry with expertise in Workday implementation projects.
- Strong understanding of Workday developer skills including configuration of core HR module (Core HR), Absence Management module (Absence Management), Time & Labor module (Time & Labor) etc. .
- Experience working on multiple Workday modules such as Benefits Administration (Benefits Admin.), Compensation Management (Compensation Mgmt.) etc. .
- Proven track record of delivering complex projects on time while maintaining high levels of customer satisfaction.
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Skills
About Lecan Solutions
Lecan Solutions
Recruitment
51-200
employees
2004
22 years old
Naraina
IN
₹2.7L PA avg
Avg at Lecan Solutions
₹35L – ₹55L 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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Employee ratings
10 reviews
Culture
4.2
Career growth
2.9
Work-life
4.3
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