Sr. Data Engineer

Alpharetta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Sr. Data Engineer
Alpharetta GA (Face to face required)
Position type: W2 contract

Job Functions/Duties and Responsibilities:

Solve complex engineering problems and lead system design and development activities.
Understand business processes a bigger picture and core ideas behind the developed software.
Define engineering guidelines and quality control pipeline; perform code reviews.
Advocate and advance toward cutting edge engineering practices.
Working in the Agile development methodologies collaborating with business and technology teams located globally.
Actively contribute and participate in sprint grooming and planning discussions daily stand-ups and Agile ceremonies
Work with various teams and stakeholders across geography and time zones.

Skills Required

10 years of experience in data-focused roles.
Strong proficiency in developing and maintaining database objects including stored procedures and functions.
Demonstrated experience in database design and development advanced SQL/PL/SQL and performance tuning (SQL Server preferred).
Hands-on expertise with enterprise database platforms such as DB2 SQL Server Oracle and/or Teradata.
Solid ETL and BI experience including tools such as Informatica and Tableau or Power BI.
Excellent communication skills with the ability to partner effectively with both business users and IT teams across regions and to lead delivery of IT outcomes.
Proven ability to collaborate with stakeholders and partners across geographies and time zones.
Strong growth mindset with a track record of personal excellence collaboration and continuous improvement.
Understanding of large-scale enterprise application requirements including security controls entitlements and related governance considerations.
Experience working within Agile delivery methodologies (e.g. Scrum/Kanban).
Proficiency with Git and modern source control/development workflows (e.g. branching code reviews CI-friendly practices).
Strong computer science fundamentals including scalable resilient system design and sound engineering principles.
Hands-on experience building and maintaining BI dashboards using Tableau and/or Power BI.
Experience working with the Snowflake data platform (e.g. data modeling performance considerations and best practices).
Proven delivery experience in Agile environments (e.g. Scrum/Kanban) including iterative development and stakeholder collaboration.
Strong Python skills applied to data use cases including:
Data engineering and automation (data extraction/transformation process automation database/API integrations; e.g. pandas SQLAlchemy)
Analytics and reporting (data analysis reusable workflows; e.g. pandas NumPy)
ETL pipeline support (orchestration support reusable utilities and data quality validation/checks)
Working knowledge of database fundamentals covering both relational and NoSQL technologies.
Basic familiarity with DevOps concepts and practices (e.g. CI/CD fundamentals environment management and deployment hygiene).

Sr. Data Engineer Alpharetta GA (Face to face required) Position type: W2 contract Job Functions/Duties and Responsibilities: Solve complex engineering problems and lead system design and development activities. Understand business processes a bigger picture and core ideas behind the developed so...

Sr. Data Engineer
Alpharetta GA (Face to face required)
Position type: W2 contract

Job Functions/Duties and Responsibilities:

Solve complex engineering problems and lead system design and development activities.
Understand business processes a bigger picture and core ideas behind the developed software.
Define engineering guidelines and quality control pipeline; perform code reviews.
Advocate and advance toward cutting edge engineering practices.
Working in the Agile development methodologies collaborating with business and technology teams located globally.
Actively contribute and participate in sprint grooming and planning discussions daily stand-ups and Agile ceremonies
Work with various teams and stakeholders across geography and time zones.

Skills Required

10 years of experience in data-focused roles.
Strong proficiency in developing and maintaining database objects including stored procedures and functions.
Demonstrated experience in database design and development advanced SQL/PL/SQL and performance tuning (SQL Server preferred).
Hands-on expertise with enterprise database platforms such as DB2 SQL Server Oracle and/or Teradata.
Solid ETL and BI experience including tools such as Informatica and Tableau or Power BI.
Excellent communication skills with the ability to partner effectively with both business users and IT teams across regions and to lead delivery of IT outcomes.
Proven ability to collaborate with stakeholders and partners across geographies and time zones.
Strong growth mindset with a track record of personal excellence collaboration and continuous improvement.
Understanding of large-scale enterprise application requirements including security controls entitlements and related governance considerations.
Experience working within Agile delivery methodologies (e.g. Scrum/Kanban).
Proficiency with Git and modern source control/development workflows (e.g. branching code reviews CI-friendly practices).
Strong computer science fundamentals including scalable resilient system design and sound engineering principles.
Hands-on experience building and maintaining BI dashboards using Tableau and/or Power BI.
Experience working with the Snowflake data platform (e.g. data modeling performance considerations and best practices).
Proven delivery experience in Agile environments (e.g. Scrum/Kanban) including iterative development and stakeholder collaboration.
Strong Python skills applied to data use cases including:
Data engineering and automation (data extraction/transformation process automation database/API integrations; e.g. pandas SQLAlchemy)
Analytics and reporting (data analysis reusable workflows; e.g. pandas NumPy)
ETL pipeline support (orchestration support reusable utilities and data quality validation/checks)
Working knowledge of database fundamentals covering both relational and NoSQL technologies.
Basic familiarity with DevOps concepts and practices (e.g. CI/CD fundamentals environment management and deployment hygiene).