YO IT Group
Overview
The Sr. Data Engineer will contribute to the Company’s success by partnering with business, analytics, and infrastructure teams to design and build data pipelines to facilitate measuring various KPIs and metrics. Collaborating across disciplines, they will identify internal and external data sources, design table structures, define ETL strategy, and implement automated data quality checks. Base pay range
Experience:
5 - 14 Years Note: Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Must-have Skills
Complex or advanced SQL queries Python Spark Snowflake Databricks Airflow or Prefect Experience with at least one cloud platform (AWS, Azure, or GCP) Responsibilities
Partner with technical and non-technical colleagues to understand data and reporting requirements Work with engineering teams to collect required data from internal and external systems Design table structures and define ETL pipelines to build performant, reliable, and scalable data solutions Develop automated data quality checks Develop and maintain ETL routines using orchestration tools such as Airflow Implement database deployments using tools like SchemaChange Perform ad hoc analysis and SQL/ETL tuning as necessary Basic Qualifications
5+ years of relevant data engineering experience Strong understanding of data modeling principles including dimensional modeling and data normalization Good understanding of SQL engines and advanced performance tuning Ability to think strategically and analyze market and consumer information Strong written and verbal communication skills Excellent conceptual and analytical reasoning competencies Comfortable working in a fast-paced and highly collaborative environment Familiarity with Agile Scrum principles and ceremonies Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Strong analytical and problem-solving skills Effective communication and teamwork abilities Additional Information
Skills: sql, gcp, data engineering, python, azure, data, etl, aws Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at YO IT Group by 2x Application
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The Sr. Data Engineer will contribute to the Company’s success by partnering with business, analytics, and infrastructure teams to design and build data pipelines to facilitate measuring various KPIs and metrics. Collaborating across disciplines, they will identify internal and external data sources, design table structures, define ETL strategy, and implement automated data quality checks. Base pay range
Experience:
5 - 14 Years Note: Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Must-have Skills
Complex or advanced SQL queries Python Spark Snowflake Databricks Airflow or Prefect Experience with at least one cloud platform (AWS, Azure, or GCP) Responsibilities
Partner with technical and non-technical colleagues to understand data and reporting requirements Work with engineering teams to collect required data from internal and external systems Design table structures and define ETL pipelines to build performant, reliable, and scalable data solutions Develop automated data quality checks Develop and maintain ETL routines using orchestration tools such as Airflow Implement database deployments using tools like SchemaChange Perform ad hoc analysis and SQL/ETL tuning as necessary Basic Qualifications
5+ years of relevant data engineering experience Strong understanding of data modeling principles including dimensional modeling and data normalization Good understanding of SQL engines and advanced performance tuning Ability to think strategically and analyze market and consumer information Strong written and verbal communication skills Excellent conceptual and analytical reasoning competencies Comfortable working in a fast-paced and highly collaborative environment Familiarity with Agile Scrum principles and ceremonies Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Strong analytical and problem-solving skills Effective communication and teamwork abilities Additional Information
Skills: sql, gcp, data engineering, python, azure, data, etl, aws Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at YO IT Group by 2x Application
Sign in to set job alerts for “Senior Data Engineer” roles.
#J-18808-Ljbffr