HYDERABAD · FULLTIME
Manager
Lecan Solutions
Hyderabad · onsite · Posted 70d ago
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Section · 01
About this role
Roles and Responsibilities :
- Lead a team of data scientists to design, develop, and deploy AI-powered solutions for various industries.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions using machine learning algorithms.
- Develop and maintain complex neural networks using deep learning frameworks such as TensorFlow or PyTorch.
- Ensure high-quality delivery of projects by setting project goals, timelines, and resource allocation.
Job Requirements :
- 12-16 years of experience in computer vision, image processing, natural language processing (NLP), or related fields.
- Strong expertise in artificial intelligence (AI) technologies including machine learning, deep learning, and computer vision.
- Proficiency in programming languages such as Python with experience working on large-scale projects involving big data analytics.
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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
₹30L – ₹50L 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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