The Role
Designs and maintains data pipelines using ETL/ELT platforms, develops dbt models, and manages Snowflake workloads. Establishes data quality testing and monitoring, optimizes data performance and costs, supports CI/CD and infrastructure-as-code practices, participates in architecture reviews, and mentors junior engineers. Collaborates with analysts and data scientists to build reliable data models and transformation logic.
Summary Generated by Built In
KEY RESPONSIBILITIES
•Design, develop, and maintain end-to-end data pipelines using SnapLogic (preferred) or comparable ETL/ELT platforms such as Informatica, Talend, MuleSoft, or Azure Data Factory.
•Build, optimize, and document dbt models, including sources, staging, intermediate, and mart layers, following software engineering best practices (version control, code review, CI/CD).
•Architect and manage data workloads in Snowflake, including schema design, performance tuning, clustering, role-based access control, and cost optimization.
•Collaborate with data analysts and scientists to translate complex business requirements into reliable data models and transformation logic.
•Establish and enforce data quality standards through testing frameworks (e.g., dbt tests, Great Expectations) and monitoring dashboards.
•Participate in architectural reviews, contribute to engineering standards, and mentor junior engineers.
•Identify and resolve performance bottlenecks across the data stack, from ingestion through consumption.
•Support deployment pipelines and contribute to infrastructure-as-code practices for data platform components.
REQUIRED QUALIFICATIONS
Experience 6+ years of overall software or data engineering experience, with at least 3 years focused on data pipeline development and cloud data platforms.
ETL / Integration Hands-on experience with one or more ETL/ELT tools (SnapLogic strongly preferred; Informatica, Talend, MuleSoft, or Azure Data Factory also considered).
dbt Proven proficiency with dbt Core or dbt Cloud — model development, Jinja macros, ref/source dependencies, incremental models, snapshots, and automated testing.
Snowflake Strong working knowledge of Snowflake: virtual warehouses, dynamic tables, time travel, data sharing, and SQL performance optimization.
SQL Expert-level SQL skills with experience writing complex analytical queries, window functions, and query optimization.
Skills Required
- 6+ years of overall software or data engineering experience
- At least 3 years focused on data pipeline development and cloud data platforms
- Hands-on experience with one or more ETL or ELT tools, preferably SnapLogic or comparable platforms
- Proficiency with dbt Core or dbt Cloud, including model development, Jinja macros, ref/source dependencies, incremental models, snapshots, and automated testing
- Strong working knowledge of Snowflake, including virtual warehouses, dynamic tables, time travel, data sharing, and SQL performance optimization
- Expert-level SQL skills, including complex analytical queries, window functions, and query optimization
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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.
