Lead Data Engineer

1 month ago

Bangalore, India Kloud9 Full time

Role Overview :

The Data Engineer is responsible for the full lifecycle development and implementation of end-to-end data pipelines and build of Snowflake data warehouse to support business and analytics' needs.

Key Responsibilities :

- Provide day-to-day oversight and technical guidance to team of Data Engineers.

- Design and implement scalable data pipelines using Azure Data Factory

- Develop and optimize complex SQL queries for data extraction and transformation

- Build and maintain Snowflake data warehouse environment

- Create and refine relational data models to support business intelligence and analytics

- Collaborate with cross-functional teams to understand data requirements and deliver solutions

- Establish best practices for data engineering processes and documentation

- Ensure data quality, security, and compliance across all data engineering initiatives

- Stay current with emerging technologies and industry trends in data engineering

Required Qualifications:

- Bachelor's degree in Computer Science, Information Systems, or related field

- 6-12 years of experience in data engineering roles

- Strong expertise in SQL, including complex query optimization

- Extensive experience with Snowflake, including architecture and performance tuning

- Proficiency in Azure Data Factory for building and managing ETL/ELT pipelines

- In-depth knowledge of relational data modeling techniques

- Ability to manage workload and self-drive to accomplish goals

- Excellent problem-solving and analytical skills

- Strong communication skills and ability to work with both technical and non-technical stakeholders

Preferred Qualifications:

- Azure Developer Certification

- Master's degree in a relevant field

- Experience with Python

- Knowledge of data governance and compliance regulations

- Experience with version control systems (Git, Azure DevOps)

- Knowledge of Agile methodology

- Familiarity with data visualization tools (e.g., Tableau, Power BI)

- Experience with big data technologies (e.g., Hadoop, Spark)

(ref:hirist.tech)

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