5–6 years of experience in data engineering, specifically with Snowflake and Kafka., Proficiency in SQL and Python, with hands-on experience in ETL tools., Strong understanding of Kafka architecture and experience with J-Frog Artifactory and Docker., 2+ years of leadership experience managing and mentoring data engineering teams..
Key responsabilities:
Design and optimize Snowflake data warehouse solutions and Kafka streaming pipelines.
Lead and mentor a team of data engineers to ensure successful project delivery.
Implement and manage ETL/ELT processes for large-scale data migration.
Collaborate with cross-functional teams to integrate diverse data sources and troubleshoot data engineering challenges.
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Leute Passen India
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Employees
About Leute Passen India
Leute Passen India Private Limited, your trusted partner in Business Consulting, HR Solutions, IT Solutions, Big Data, Data Analytics, and India’s premier Career Social Platform.
As a leading player in the industry, Leute Passen India is committed to providing comprehensive solutions to businesses, job seekers, and professionals alike. Our expertise in Business Consulting enables us to guide organizations towards success, offering strategic insights and tailored recommendations to optimize operations and drive growth.
We are seeking a highly skilled Senior Snowflake & Kafka Engineer with 5–6 years of experience to lead and deliver cutting-edge data engineering solutions. The ideal candidate will have a strong background in Snowflake, Apache Kafka, and ETL tools, along with proven leadership experience.
Key Responsibilities:
Design, develop, and optimize Snowflake data warehouse solutions and Kafka-based streaming pipelines.
Lead and mentor a team of data engineers, ensuring successful project delivery.
Implement and manage ETL/ELT processes for large-scale data migration and integration projects.
Optimize Snowflake data architecture and Kafka stream processing for performance and scalability.
Collaborate with cross-functional teams to integrate diverse data sources and ensure seamless data flow.
Troubleshoot and resolve complex data engineering challenges.
Required Skills & Qualifications:
Technical Expertise:
Proficiency in SQL and Python.
Hands-on experience with Snowflake, Kafka, and ETL tools.
Strong understanding of Kafka architecture (producers, consumers, topics, partitions, offsets).
Experience with J-Frog Artifactory, Docker Compose, JFrog Container Registry, and Azure.
Leadership Skills:
2+ years of experience in a team leadership role.
Proven ability to manage team dynamics and mentor junior engineers.
Soft Skills:
Excellent communication, interpersonal, and problem-solving skills.
Preferred Skills:
Experience with additional cloud platforms like AWS or Azure.
Familiarity with handling large datasets and integrating diverse data sources.
Knowledge of Agile methodologies for project management.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.