AJO , Adobe Journey Optimizer
Lecan Solutions · Bengaluru · onsite · Posted 72d ago
About a minute. You'll make an account on the way through.
About this role
Roles and Responsibilities :
- Develop and maintain AEP (Adobe Experience Platform) solutions for clients, ensuring seamless integration with existing systems.
- Collaborate with cross-functional teams to design, develop, test, and deploy customer journeys using Adobe Journey Optimizer.
- Provide technical guidance on best practices for implementing AEM (Adobe Experience Manager) projects, including data modeling, workflow management, and reporting.
- Troubleshoot issues related to AEP implementation, working closely with stakeholders to resolve complex problems.
Job Requirements :
- 4-12 years of experience in IT services & consulting industry.
- Strong expertise in Adobe Experience Platform (AEP), specifically Adobe Journey Optimizer.
- Proficiency in developing custom components using AEM's Liferay framework.
Sourced from naukri
Skills
About Lecan Solutions
Lecan Solutions
Recruitment
51-200
employees
2004
22 years old
Naraina
IN
₹2.7L PA avg
Avg at Lecan Solutions
₹6L – ₹28L 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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