HYDERABAD · FULLTIME
Salesforce Data 360 Engineer
Lecan Solutions
Hyderabad · hybrid · Posted 32d ago
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Section · 01
About this role
Job Title: Salesforce Data 360 Engineer
Location: PAN India
Experience: 5+ Years
Education: 15 Years of Full-Time Education
Job Summary
As a Salesforce Data 360 Engineer, you will lead the development and delivery of data solutions on Salesforce Data Cloud (Data 360). You will act as the primary technical point of contact, ensuring teams deliver well-architected Data 360 solutions aligned with business needs and enterprise standards.
The role requires strong hands-on experience in Data Cloud and the ability to guide teams through complex data ingestion, identity resolution, and activation use cases.
Key Responsibilities
- Lead end-to-end delivery of Salesforce Data Cloud (Data 360) implementations.
- Own solution design reviews and ensure alignment with enterprise data architecture.
- Act as the escalation point for complex data, identity, and performance issues.
- Ensure best practices for scalability, performance, and data governance.
- Review Data Streams, Data Models, Transforms, Calculated Insights, and Segments built by the team.
- Conduct technical reviews, provide feedback, and enforce coding/data standards.
- Guide teams on data modeling, DMOs, and relationship design.
- Drive UAT, go-live readiness, and post-production optimization.
- Support defect resolution and optimization activities.
- Translate business requirements into actionable technical designs.
- Provide effort estimates, delivery plans, and status updates to leadership.
Must Have Skills
- Hands-on experience with Salesforce Data Cloud (Data 360) configuration and development.
- Deep understanding of Data Streams & DMOs.
- Experience with Identity Resolution & Match Rules.
- Experience with Data Transforms.
- Experience with Calculated Insights (SQL).
- Experience with Segmentation & Activation.
- Ability to develop maintainable and scalable solutions.
- Strong problem-solving and communication skills.
- Advanced SQL skills for analytics and Calculated Insights.
- Experience with APIs, event data, and cloud data platforms.
- Experience working with JSON, APIs, and data integration pipelines.
- Understanding of event-based data and customer engagement tracking.
- Basic understanding of Salesforce metadata, objects, and permissions.
Good to Have Skills
- Salesforce Lightning Web Components (LWC).
- Sales Cloud / Service Cloud knowledge.
- Exposure to Einstein, Zero Copy, Document AI, or Semantic Layer.
- Knowledge of Salesforce Agentforce integrated with Data Cloud (Data 360) to enable real-time, data-driven AI agent experiences.
- Understanding of Marketing Cloud (Contact Builder, Automation Studio, Journey Builder) and Marketing Cloud Personalization.
Soft Skills
- Proven experience leading technical teams.
- Strong communication with technical and non-technical stakeholders.
- Decision-making and problem-solving mindset.
- Ability to balance hands-on work with team leadership.
Certifications
Mandatory:
- Salesforce Data Cloud Consultant
- Salesforce Administrator
Preferred:
- Agentforce Specialist
- Salesforce AI Associate
Additional Information
- 3--5 years of Salesforce experience.
- 1 year of experience in Data 360 implementation projects is required.
- Experience working in Agile teams.
- 15 years of full-time education is required.
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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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