OneGreenDiary
Data Engineer (Snowflake / Databricks)
OneGreenDiary, Snowflake, Arizona, United States, 85937
About the Role:
We are seeking a motivated and detail-oriented
Junior Data Engineer
with 1 to 2 years of hands-on experience in either
Snowflake
or
Databricks . You will work closely with our data engineering and analytics teams to support the design, development, and maintenance of robust data pipelines and scalable data solutions. Key Responsibilities: Design, build, and maintain ETL/ELT data pipelines using Snowflake or Databricks
Collaborate with data analysts and stakeholders to understand data requirements
Optimize data workflows and ensure data quality, performance, and security
Write efficient SQL queries and perform data transformation and cleansing
Monitor and troubleshoot data issues in pipelines and storage systems
Document solutions, data models, and processes for future reference
Required Skills and Qualifications: 1–2 years of experience in data engineering or data platform development
Hands-on experience with either
Snowflake
(data warehousing, SnowSQL, Snowpipe, etc.) or
Databricks
(PySpark/Scala/SQL notebooks, Delta Lake, MLflow, etc.)
Proficient in SQL and data modeling techniques
Working knowledge of cloud platforms (AWS, Azure, or GCP)
Experience with version control tools (e.g., Git)
Strong understanding of data warehousing concepts and performance tuning
Good to Have: Familiarity with orchestration tools like Airflow or dbt
Exposure to CI/CD pipelines in data environments
Basic understanding of data privacy, compliance, and security principles
#J-18808-Ljbffr
We are seeking a motivated and detail-oriented
Junior Data Engineer
with 1 to 2 years of hands-on experience in either
Snowflake
or
Databricks . You will work closely with our data engineering and analytics teams to support the design, development, and maintenance of robust data pipelines and scalable data solutions. Key Responsibilities: Design, build, and maintain ETL/ELT data pipelines using Snowflake or Databricks
Collaborate with data analysts and stakeholders to understand data requirements
Optimize data workflows and ensure data quality, performance, and security
Write efficient SQL queries and perform data transformation and cleansing
Monitor and troubleshoot data issues in pipelines and storage systems
Document solutions, data models, and processes for future reference
Required Skills and Qualifications: 1–2 years of experience in data engineering or data platform development
Hands-on experience with either
Snowflake
(data warehousing, SnowSQL, Snowpipe, etc.) or
Databricks
(PySpark/Scala/SQL notebooks, Delta Lake, MLflow, etc.)
Proficient in SQL and data modeling techniques
Working knowledge of cloud platforms (AWS, Azure, or GCP)
Experience with version control tools (e.g., Git)
Strong understanding of data warehousing concepts and performance tuning
Good to Have: Familiarity with orchestration tools like Airflow or dbt
Exposure to CI/CD pipelines in data environments
Basic understanding of data privacy, compliance, and security principles
#J-18808-Ljbffr