Designs and maintains scalable Snowflake data warehouses and modern data architectures supporting Marketing, Sales, and Customer Service. Develops SQL and dbt transformations, data models, ETL/ELT pipelines, and real-time or batch integrations. Ensures data quality through profiling, validation, cleansing, and performance optimization. Troubleshoots processing issues, participates in code reviews, and collaborates with cross-functional teams to deliver analytics-ready data solutions.
Minimum years of experience: 6/7+ Years
Candidates should be with Data warehousing, Data Modelling, Snowflake, DBT, SQL, Azure Databricks, Python (Good to Have)
Looking for a skilled Data Engineering Specialist to design and implement data solutions supporting Marketing, Sales, and Customer Service areas. The ideal candidate will have experience with Snowflake, SQL, DBT, Python or any Data modelling tools and Azure/AWS/GCP, along with a strong foundation of Cloud Platforms. You will be responsible for developing scalable, efficient data architectures that enable personalized customer experiences and advanced analytics.
Roles and Responsibility:
- Implement and maintain data warehousing solutions in Snowflake to handle large-scale data processing and analytics needs.
- Optimize workflows using DBT to streamline data transformation and modeling processes.
- Optimize workflows using any data modelling tools to streamline data transformation and modeling processes.
- Strong expertise in SQL with hands-on experience in querying, transforming, and analyzing large datasets.
- Good experience in Python programming
- Expertise with cloud data platforms for large-scale data processing.
- Solid understanding of data profiling, validation, and cleansing techniques.
- Support both real-time and batch data integration, ensuring data is accessible for actionable insights and decision-making.
- Strong understanding of data modeling, ETL/ELT processes, and modern data architecture frameworks.
- Hands-on experience with Python for data engineering tasks and scripting.
- Collaborate with cross-functional teams to identify and prioritize project requirements.
- Develop and maintain large-scale data warehouses on Snowflake.
- Optimize database performance and ensure data quality.
- Troubleshoot and resolve technical issues related to data processing and analysis.
- Participate in code reviews and contribute to improving overall code quality.
Requirements
Job Requirements:
- Strong understanding of data modeling and ETL concepts.
- Experience with Snowflake and Dany Data Modelling is highly desirable.
- Optimize workflows using DBT to streamline data transformation and modeling processes.
- Strong expertise in SQL with hands-on experience in querying, transforming, and analyzing large datasets.
- Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large-scale data processing.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Strong communication and interpersonal skills.
- Familiarity with agile development methodologies.
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