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Snowflake Data Engineer with Kafka

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

India

Offer summary

Qualifications:

4+ years of experience with Snowflake, Strong experience with Apache Kafka, Proficiency in SQL and ETL/ELT processes, Bachelor’s or Master’s degree in Computer Science.

Key responsabilities:

Design and maintain Snowflake data warehouse solutions
Develop and optimize ETL/ELT pipelines from Kafka

Leute Passen India

51 - 200 Employees

See more Leute Passen India offers

Job description

We are looking for a talented Snowflake Engineer with experience in Apache Kafka to design, develop, and optimize our data pipelines. In this role, you will be responsible for building scalable, high-performance data systems that integrate with various data sources and contribute to the overall data architecture. You will collaborate with cross-functional teams to ensure seamless data flow and support advanced analytics initiatives.

Key Responsibilities:

Design, implement, and maintain Snowflake data warehouse solutions, ensuring high performance, scalability, and security.
Develop and optimize ETL/ELT pipelines to ingest, transform, and load data into Snowflake from Kafka and other data sources.
Work closely with data architects, data analysts, and data scientists to understand business requirements and translate them into technical solutions.
Design and implement Kafka-based messaging systems to stream data in real-time to Snowflake.
Troubleshoot and resolve data-related issues, including performance bottlenecks and data quality issues.
Monitor and optimize data pipelines for efficiency, scalability, and cost-effectiveness.
Implement data governance and security practices to ensure compliance with organizational standards.
Provide technical guidance and mentorship to junior engineers on Snowflake and Kafka-related technologies.
Stay updated on emerging technologies and best practices in data engineering and cloud services.

Required Skills and Experience:

4+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
Strong experience with Apache Kafka for stream processing and real-time data integration.
Proficiency in SQL and ETL/ELT processes.
Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
Knowledge of data governance, security, and compliance best practices.
Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
Ability to work in a collaborative team environment and communicate effectively with cross-functional teams.

Preferred Skills:

Experience with other cloud data services like AWS Redshift, Google BigQuery, or Azure Synapse.
Familiarity with containerization (Docker, Kubernetes) and orchestration tools.
Experience with machine learning models and integration with data pipelines.

Educational Qualification: