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Team Lead

Wysetek -
Mumbai, Maharashtra

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Job details

Full-time

Qualifications

BCS
Data modeling
Azure
Computer Science
Kubernetes
AWS
Analysis skills
Project management
Docker
Bachelor's degree
Team management
ETL
Agile
IT
Kafka
Leadership
Information Technology

Full job description

Job Category: Technical

Job Type: Full Time

Job Location: Mumbai

Experience: 3-6 Years

Description and Skills: Wysetek is seeking an experienced Confluent Team Leader to guide a dynamic team of developers and engineers in building high-performance data streaming solutions on the Confluent Platform and Apache Kafka. This role is ideal for a technically skilled leader with a strong foundation in data architecture and streaming technologies, coupled with a passion for mentoring and innovative problem-solving.

Key Responsibilities

Lead and Inspire: Oversee a team of engineers, driving the design, implementation, and maintenance of data streaming solutions.
Cross-Functional Collaboration: Work closely with different teams to define project requirements, goals, and deliverables.
Maintain High Performance: Ensure data streaming applications and architecture deliver reliable, high-speed performance.
Mentorship and Growth: Coach team members and cultivate a culture focused on continuous improvement and technological advancement.
Stay Ahead in Data Streaming: Keep up-to-date with data streaming trends and best practices, ensuring the team’s alignment with industry standards.
Efficient Project Management: Oversee project timelines, resource allocation, and budgets to achieve successful, timely project outcomes.
Effective Communication: Act as a bridge between technical and non-technical stakeholders, ensuring clear and aligned objectives.
Problem-Solving: Address and resolve challenges related to data pipelines, integrations, and system performance.

Qualifications

Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience: Proven experience with Apache Kafka and Confluent Platform.
Leadership: Strong team management and leadership skills, ideally within Agile environments.
Technical Expertise: Knowledge in data modeling, ETL processes, and data governance.
Cloud and Containerization: Familiarity with cloud services (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is an advantage.
Analytical Skills: Strong problem-solving and analytical capabilities.

Preferred Skills

Broader Knowledge: Familiarity with other data streaming technologies and frameworks.

Certifications: Apache Kafka or Confluent Platform certification.

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Senior Data Platform Engineer I

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