HYDERABAD · FULLTIME
We are Looking Salesforce Data 360/Data Cloud
Lecan Solutions
Hyderabad · onsite · Posted 20d ago
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Section · 01
About this role
Job Details:
Primary Skill: Salesforce Data 360/Data Cloud
Experience: 4-18 Years
Location: Pan India
Education: 15 years of full-time education
Key Requirements:
Strong hands-on experience with Salesforce Data 360 / Data Cloud.
Experience in designing and implementing Salesforce Data 360 solutions.
Strong understanding of data modeling, data integration, data ingestion, identity resolution, and unified customer profiles.
Experience working with Salesforce ecosystem and integrating Data 360 with enterprise applications.
Strong software development and troubleshooting experience.
Experience working in Agile development environments.
Ability to work as an SME, collaborate with multiple teams, and provide technical solutions.
Strong experience in performance optimization and process improvement.
Good communication, stakeholder management, and team mentoring skills.
AI/GenAI Exposure:
Experience with AI, Generative AI, Salesforce Einstein, Agentforce, AI-powered customer data solutions, or AI-driven analytics will be an added advantage.
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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
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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