The Role
Design, develop, and deploy scalable cloud-based data pipelines and ETL/ELT processes. Build and optimize Snowflake and dbt solutions, apply data warehousing concepts such as dimensional modeling, CDC, and SCDs, and use workflow orchestration tools. Ensure data governance, security, and privacy best practices while collaborating with technical and non-technical stakeholders in an Agile environment.
Summary Generated by Built In
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or a related quantitative field.
- 5+ years of progressive experience in data engineering roles, with a strong focus on cloud-based data solutions.
- 3+ years of hands-on experience working extensively with Snowflake and DBT in production environments.
- Exceptional proficiency in SQL, including advanced querying, performance tuning, and optimization.
- Deep expertise in data warehousing concepts, including dimensional modeling, CDC (Change Data Capture), and SCDs (Slowly Changing Dimensions).
- Proven experience designing, developing, and deploying scalable data pipelines and ETL/ELT processes.
- Solid understanding of cloud platforms (AWS, Azure, or GCP) and their data-related services.
- Experience with workflow orchestration tools (e.g., Airflow, DBT Cloud).
- Strong understanding of data governance principles, data security, and privacy best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
- Ability to work independently and as part of a collaborative team in a fast-paced, Agile environment.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, or a related quantitative field
- 5+ years of progressive experience in data engineering roles, focused on cloud-based data solutions
- 3+ years of hands-on production experience with Snowflake and dbt
- Advanced SQL proficiency, including querying, performance tuning, and optimization
- Expertise in data warehousing, dimensional modeling, CDC, and SCDs
- Experience designing, developing, and deploying scalable data pipelines and ETL/ELT processes
- Understanding of AWS, Azure, or GCP and data-related cloud services
- Experience with workflow orchestration tools such as Airflow or dbt Cloud
- Understanding of data governance, data security, and privacy best practices
- Strong problem-solving, analytical, and critical-thinking skills
- Strong communication and interpersonal skills for collaboration with technical and non-technical stakeholders
- Ability to work independently and collaboratively in a fast-paced Agile environment
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
