Data Engineer

Job Title:

Experience:

Location:

Work Mode:

Joining:

Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines using

  DBT

  and

  Snowflake

  .
• Optimize and manage data workflows and transformations for reporting, analytics, and operational use.
• Build and deploy data models and structures aligned with business requirements.
• Integrate and automate data workflows using

  CI/CD

  practices.
• Write complex

  SQL

  queries to manipulate, clean, and transform data.
• Collaborate with data scientists, analysts, and business teams to understand data requirements.
• Troubleshoot and resolve issues related to data integrity, performance, and scalability.
• Maintain data quality standards, documentation, and best practices.

Mandatory Skills:

• Strong hands-on experience in

  DBT (Data Build Tool)

  .
• Proficient in

  Snowflake

  cloud data platform.
• Experience with

  CI/CD

  tools and deployment pipelines.
• Advanced skills in

  SQL

  for data transformation and analysis.
• Familiarity with

  Python

  scripting (good to have).
• Good understanding of data warehousing concepts, ETL/ELT frameworks.

Preferred Skills:

• Experience working with version control systems like Git.
• Familiarity with cloud platforms such as AWS, Azure, or GCP (especially Snowflake integrations).
• Exposure to monitoring and logging tools for data pipelines.
• Agile/Scrum development methodology experience.

Interview Process:

1. Hacker Rank Test

   – Technical online assessment to evaluate coding and SQL skills.

2. Technical Screening Interview

   – In-depth discussion on projects, data engineering concepts, tools, and problem-solving approach.

3. Managerial/Communication Round

   – Evaluation of soft skills, communication, and stakeholder management.

Candidate Profile:

• 4–6 years of relevant experience as a Data Engineer.
• Strong problem-solving and analytical skills.
• Ability to communicate effectively with technical and non-technical stakeholders.
• Self-motivated with a high degree of ownership and accountability.
• Immediate joiners or candidates with a short notice period are highly preferred.