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Senior Data Engineer
4 months ago
Job Description :
Role : Senior Data Engineer (DOMO)
Experience : 5+ Years
Location : Bangalore
Candidate who can join within 30 days, may only apply
Working Mode : Work From Office
Job Highlights :
Must-Have skills :
- 5+ years' experience in ELT systems (Snowflake and DOMO)
- Must have experience in digital marketing projects.
- Strong knowledge in digital marketing tools
Preferred Qualifications :
- Domo Certification or equivalent.
- Experience with other BI tools (e.g., Tableau, Power BI).
- Knowledge of data governance and compliance best practices.
Key Responsibilities :
- Lead the ETL processes for end-to-end data ingestion and transformation across Snowflake and DOMO ELT systems.
- Design, develop, and maintain ETL processes using Domo to ingest, transform, and store data from various sources.
- Collaborate with cross-functional teams to understand data requirements and provide solutions for data integration and reporting needs.
- Optimize and tune data pipelines for performance, reliability, and scalability.
- Implement data quality checks and validation processes to ensure data accuracy and integrity.
- Troubleshoot and resolve data-related issues in a timely manner.
- Mentor and provide technical guidance to junior data engineers.
- Stay up-to-date with industry best practices and emerging trends in data engineering.
Qualifications :
- Bachelor's degree in Computer Science, Engineering, or a related field
- Strong understanding and experience (5+ years) of ETL principles and best practices.
- High level of knowledge using SQL and Python.
- Experience in designing and implementing robust data pipelines.
- Strong attention to detail with clear documentation and process maps developed for each data output.
- Strong experience in managing cloud ecosystem resources (EG AWS, Azure and GCP).
- Proactive approach to solution designing becoming a "trusted advisor" within the team.
- Proficient in Domo ETL development, data modeling, and reporting.
- Strong SQL skills and experience with relational databases.
- Knowledge of data integration and ETL tools, as well as data pipeline orchestration.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.