lead Data Engineer

Job Description: lead Data Engineer

job type - Conntract

location - Remote

Kooe Private Limited is looking for an experienced Data Engineer / Backend Developer with strong expertise in SQL and Python, along with hands-on experience in MS SQL Server and Snowflake data warehouse environments. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and supporting analytics workflows using modern data stack tools.

Key ResponsibilitiesData Engineering & Development

• Design, develop, and maintain scalable data pipelines using Python and SQL.
• Work with MS SQL Server and Snowflake to manage and optimize large-scale datasets.
• Develop and maintain ETL/ELT pipelines using modern data tools.
• Implement data transformations and modeling using dbt.
• Integrate data pipelines using Hevo Data for efficient data ingestion and processing.
• Ensure high data quality, integrity, and performance across systems.
  
  

Data Warehouse & Analytics

• Design and maintain Snowflake data warehouse architecture, including schemas and transformations.
• Support analytics teams by preparing clean and structured datasets.
• Optimize queries and database performance for large-scale analytical workloads.
  
  

Collaboration & Tools

• Work closely with engineering, analytics, and product teams to deliver reliable data solutions.
• Use collaboration and development tools such as Jira, Bitbucket, Slack, and Microsoft Teams.
• Participate in Agile/Scrum development cycles.
  
  

Required Skills (Must-Have) Programming Languages

• Strong experience in SQL
• Strong experience in Python
  
  

Technologies & Platforms

• MS SQL Server
• Snowflake (Data Warehouse)
• Hevo Data
• dbt (Data Build Tool)
  
  

Tools

• Jira
• Bitbucket
• Slack
• Microsoft Teams
  
  

Nice to Have SkillsProgramming

• JavaScript
  
  

Databases & Cloud

• DynamoDB
• AWS Services
  
  

Analytics

• Experience with Rocket (Analytical Engine)
  
  

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Experience building data pipelines, ETL/ELT processes, and data warehouse solutions.
• Familiarity with modern data stack architecture.
• Strong problem-solving and analytical skills.
  
  

Skills: data warehouse,snowflake,pipelines,python,data,analytics,sql