Data Engineer (Snowflake + Databricks + Python)

Alpharetta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Engineer (Snowflake Databricks Python)

Location: Alphretta GA (Onsite)

Position Summary

We are seeking a highly skilled Data Engineer with deep hands-on experience in Snowflake Databricks and Python. The ideal candidate will design develop and maintain robust data pipelines data ingestion workflows and scalable data warehouses. You will work closely with cross-functional teams to translate business requirements into technical solutions that support analytics reporting and machine learning workflows.

Key Responsibilities

Design build and maintain scalable ETL/ELT pipelines using Snowflake Databricks and Python to support business analytics and reporting.
Develop complex data transformations within Databricks using PySpark SQL and Python for batch and streaming workloads.
Create and optimize Snowflake data models including schema design performance tuning clustering tasks and Snowpipe implementations.
Collaborate with data analysts data scientists and business stakeholders to understand data requirements and translate them into high-quality data solutions.
Ensure strong data quality governance security and compliance throughout the data engineering lifecycle.
Monitor production data pipelines troubleshoot issues and implement solutions to improve reliability performance and scalability.
Implement CI/CD practices for automated pipeline deployment and version control best practices.
Participate in peer code reviews technical design discussions and agile ceremonies (stand-ups sprint planning retrospectives).
Write and maintain technical documentation for data workflows architecture and processes.
Support proof-of-concept work for new tools and technologies to improve data engineering practices.

Required Skills & Qualifications

Bachelors or Masters degree in Computer Science Engineering Information Systems or a related field.
10 years of professional experience as a Data Engineer or similar role in enterprise data environments.
Strong proficiency in Snowflake design and development - including Snowpipe external tables tasks performance tuning and query optimization.
Hands-on experience with Databricks including PySpark Delta Lake notebooks jobs and administration.
Expertise in Python and SQL for developing robust data transformation logic across data platforms.
Solid understanding of data warehousing concepts data modeling (star/snowflake schemas) and ELT patterns.
Experience with cloud platforms such as AWS Azure or GCP for data storage and compute resources.
Familiarity with orchestration tools such as Apache Airflow Databricks Workflows or similar.
Knowledge of CI/CD tools (Jenkins GitHub Actions GitLab) and version control (Git).
Strong analytical problem-solving and communication skills with the ability to work in collaborative cross-functional teams.

Job Title: Data Engineer (Snowflake Databricks Python) Location: Alphretta GA (Onsite) Position Summary We are seeking a highly skilled Data Engineer with deep hands-on experience in Snowflake Databricks and Python. The ideal candidate will design develop and maintain robust data pipel...

Job Title: Data Engineer (Snowflake Databricks Python)

Location: Alphretta GA (Onsite)

Position Summary

Key Responsibilities

Design build and maintain scalable ETL/ELT pipelines using Snowflake Databricks and Python to support business analytics and reporting.
Develop complex data transformations within Databricks using PySpark SQL and Python for batch and streaming workloads.
Create and optimize Snowflake data models including schema design performance tuning clustering tasks and Snowpipe implementations.
Collaborate with data analysts data scientists and business stakeholders to understand data requirements and translate them into high-quality data solutions.
Ensure strong data quality governance security and compliance throughout the data engineering lifecycle.
Monitor production data pipelines troubleshoot issues and implement solutions to improve reliability performance and scalability.
Implement CI/CD practices for automated pipeline deployment and version control best practices.
Participate in peer code reviews technical design discussions and agile ceremonies (stand-ups sprint planning retrospectives).
Write and maintain technical documentation for data workflows architecture and processes.
Support proof-of-concept work for new tools and technologies to improve data engineering practices.

Required Skills & Qualifications

Bachelors or Masters degree in Computer Science Engineering Information Systems or a related field.
10 years of professional experience as a Data Engineer or similar role in enterprise data environments.
Strong proficiency in Snowflake design and development - including Snowpipe external tables tasks performance tuning and query optimization.
Hands-on experience with Databricks including PySpark Delta Lake notebooks jobs and administration.
Expertise in Python and SQL for developing robust data transformation logic across data platforms.
Solid understanding of data warehousing concepts data modeling (star/snowflake schemas) and ELT patterns.
Experience with cloud platforms such as AWS Azure or GCP for data storage and compute resources.
Familiarity with orchestration tools such as Apache Airflow Databricks Workflows or similar.
Knowledge of CI/CD tools (Jenkins GitHub Actions GitLab) and version control (Git).
Strong analytical problem-solving and communication skills with the ability to work in collaborative cross-functional teams.