Technical Lead
Lecan Solutions · Hyderabad · onsite · Posted 63d ago
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About this role
Roles and Responsibilities :
- Lead the development team in designing, developing, testing, and deploying ForgeRock Identity Platform solutions.
- Collaborate with cross-functional teams to identify project requirements and develop technical roadmaps.
- Provide expert-level guidance on Forgerock OpenAM (formerly known as IBM Security Access Manager) implementation best practices.
- Ensure timely delivery of high-quality projects by managing project scope, schedule, budget, and resources.
Job Requirements :
- 5-12 years of experience in IT services & consulting industry with expertise in ForgeRock Identity Platform.
- Strong understanding of Forgerock OpenAM (formerly known as IBM Security Access Manager) architecture and its integration with other systems.
- Proven track record of leading complex projects from initiation to delivery using Agile methodologies.
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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
₹15L – ₹35L 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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