Data Engineer - DBT
AuxoAI · Bangalore North, Karnataka, India
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- Location
- Bangalore North, Karnataka, India
- Type
- Full-time
- Posted
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-7 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure. Location : Bangalore, Hyderabad, Mumbai, and Gurgaon Responsibilities: · Designing, building, and operating scalable on-premises or cloud data architecture · Analyzing business requirements and translating them into technical specifications · Design, develop, and implement data engineering solutions using DBT on cloud platforms (Snowflake, Databricks) · Design, develop, and maintain scalable data pipelines and ETL processes · Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives. · Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness · Implement data governance and security best practices to ensure compliance and data integrity · Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring · Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities. Requirements · Bachelor's or Master's degree in Computer Science, Engineering, or a related field. · Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines · Experience of working with DBT to implement end-to-end data engineering processes on Snowflake and Databricks · Comprehensive understanding of the Snowflake and Databricks ecosystem · Strong programming skills in languages like SQL and Python or PySpark. · Experience with data modeling, ETL processes, and data warehousing concepts. · Familiarity with implementing CI/CD processes or other orchestration tools is a plus.
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