Data Engineer
3 days ago
Job Title : Data Engineer
Experience : 5 to 8 Years
Location : Remote
Contract : 6 months to 1 year
Job Description :
We are seeking a skilled Data Engineer to assist in designing and implementing Snowflake-based analytics solutions on AWS. The ideal candidate will have experience in data lake and data warehouse architecture, data integration, and pipeline development while working in Agile/Lean environments. This role involves collaboration with various stakeholders, including data architects, data scientists, and analysts, to deliver high-quality data solutions.
Key Responsibilities :
- Design and implement Snowflake-based analytics solutions (data lake and data warehouse) on AWS.
- Define requirements, conduct source data analysis and profiling, and perform logical and physical data modeling.
- Develop and maintain enterprise-grade data pipelines following best practices and guidelines.
- Establish Snowflake deployment and usage best practices and educate team members on its capabilities.
- Collaborate with internal and external teams to troubleshoot technical issues.
- Design, build, test, and maintain data management systems.
- Translate complex functional requirements into efficient technical solutions.
- Act as a technical leader within the team.
- Ensure the timely delivery of high-quality deliverables.
Essential Skills, Education, and Experience :
- Education : B.E./B.Tech./MCA or equivalent degree.
- Experience : 5-8 years of hands-on experience in Data Engineering.
Strong expertise in DBT (Data Build Tool), including :
- Model building and configurations.
- Incremental load strategies.
- Macro development and DBT tests.
- Proficiency in SQL for data processing and querying.
- Experience in AWS cloud services and data storage technologies like Amazon S3, SQL, and NoSQL.
- Expertise in ETL pipeline development using Talend, DBT, S3, and Snowflake.
- Strong understanding of data modeling and data pipeline architecture.
- Experience working with teams across different time zones
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