Data Engineer

Job Role :Data Engineer with Strong DBT Experience

Experience: 4-10 Years

Work Mode: Work from Office

Note : Looking for Immediate joiner

We are currently seeking a dynamic and skilled Data Engineer with extensive experience in DBT (Data Build Tool) to join our growing team.

Job Description:

• We are looking for a Data Engineer/Analyst who excels in managing and transforming data, with a strong focus on DBT.
• The ideal candidate will have a solid understanding of data warehousing concepts and experience with cloud-based data platforms like Snowflake or Databricks.
• You will collaborate with cross-functional teams to build and maintain data pipelines, enabling efficient data transformation and analytics.

Key Responsibilities:

• Design, develop, and maintain data transformation workflows using DBT. Collaborate with data scientists, analysts, and application developers to understand data requirements and implement efficient data solutions.
• Utilize Snowflake and/or Databricks for data storage, transformation, and analysis. Optimize and troubleshoot data models, queries, and workflows to ensure maximum efficiency and performance.
• Implement data governance practices to maintain data integrity and quality standards.
• Create and maintain documentation for data architecture, transformations, and processes. Monitor and manage scheduled jobs to ensure timely data delivery. Provide insights and recommendations for enhancing data architecture and analytics capabilities.

Required Skills and Qualifications:

• Strong DBT Experience: Expertise in using DBT for data transformation in cloud data environments. Familiarity with DBT best practices and project structuring is crucial.
• Database Experience: Proficiency in SQL and understanding of relational database management systems.
• Cloud Data Platforms: Experience with Snowflake and/or Databricks as secondary skills.
• Data Pipeline Development: Familiarity with ETL/ELT processes and data integration.
• Analytical Skills: Strong analytical abilities to solve complex data challenges and optimize performance.
• Team Collaboration: Ability to work effectively in a team setting, with excellent communication skills.
• Problem-Solving Mindset: Capacity to troubleshoot issues efficiently and implement solutions.

Preferred Qualifications:

• Bachelors degree in Computer Science, Information Technology, Data Science, or related field.
• Familiarity with big data technologies (e.g., Apache Spark, Hadoop) is a plus.