HYDERABAD · FULLTIME
Amazon Connect, Amazon developer, amazonconnect
Lecan Solutions
Hyderabad · onsite · Posted 47d ago
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Section · 01
About this role
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.
- Mentor junior team members to support their professional growth and integration within the team.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Amazon Connect.
- Strong knowledge of software development lifecycle and agile methodologies.
- Experience in designing and implementing scalable software architectures.
- Ability to troubleshoot and optimize software components for performance and reliability.
- Familiarity with cloud-based platforms and integration techniques related to Amazon Connect.
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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
₹9L – ₹20L 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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10 reviews
Culture
4.2
Career growth
2.9
Work-life
4.3
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