Developer - ADF/SQL
Job Description
Job Description
About the Role:
We are seeking a highly skilled and motivated Data Ingestion Engineer to join our data platform...
Job Description
Job Description
About the Role:
We are seeking a highly skilled and motivated Data Ingestion Engineer to join our data platform team. This role involves building and maintaining scalable, reliable, and secure data pipelines that power analytics, reporting, and decision-making across the organization.
You will work with tools like Azure Data Factory (ADF), dbt, PostgreSQL, Snowflake, SQL and Python to enable smooth data ingestion, transformation, and delivery across cloud and on-premise systems.
Key Responsibilities:
Design, develop, and maintain data ingestion pipelines using ADF, dbt and Python
Ingest, transform, and load data from various internal and external sources into Snowflake and PostgreSQL
Develop and manage modular SQL transformations using dbt
Build and automate scripts in Python for data parsing, validation, and integration when needed
Collaborate with data analysts, data scientists, and business teams to understand data requirements and deliver clean, usable datasets
Monitor and optimize performance of pipelines and troubleshoot ingestion issues
Implement data quality checks, logging, alerting, and governance processes
Maintain technical documentation of data pipelines and workflows
3+ years of experience in data engineering, ETL development, or data integration
Experience with Azure Data Factory (ADF) for orchestration and pipeline automation
Proficiency with Python for scripting, automation, and data manipulation
Solid working knowledge of Snowflake and PostgreSQL
Experience using dbt for SQL-based transformation, version control, and documentation
Strong SQL skills and familiarity with data modeling concepts (e.g., star/snowflake schemas)
Familiarity with Git and version-controlled development environments
Experience with API integration and handling large data files (CSV, JSON, XML)
Familiarity with Azure Blob Storage, Azure Data Lake, or similar
Exposure to cloud data platforms (Azure, AWS, or GCP)
Understanding of data governance, lineage, and cataloging tools
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Competitive Wages
Above market salary structures as part of our total rewards program
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Retirement Resources
Generous employer matching retirement solutions
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Health & Wellness
Leading health, dental and vision insurance products
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Continuous Education
Employer-funded tuition reimbursement
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Global Workplace Flexibility
Remote and hybrid work across the globe
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Paid Time Off
Generous paid time off including company holidays
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Training & Development
Company provided training and development
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Employee Assistant Programs
Offering financial, work-life balance, legal solutions and more to employees at no cost 24-7-365
Required Skills & Experience:
Preferred Qualifications:
Work Perks
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