What are the responsibilities and job description for the AWS Data Engineer position at Quadrant, Inc.?
AWS Data Engineer
Washington, DC
Pay From: $75.00 per year
MUST:
Experienced AWS Data Engineer
10 plus years professional experience
5 years of experience as a mid- or senior-level data engineer with operational responsibilities in AWS, preferably GovCloud.
Proficiency in developing, maintaining, monitoring, and the long-term operations of data pipelines or processing systems running in AWS, preferably GovCloud.
Understanding of data replication, extraction, transformation, loading, and performance tuning of solutions utilizing multiple streams of input data-e.g., ETL to RDBMS. Preferably using code-based, git and DevOps-enabled technologies using Python or SQL such as PySpark, pandas, or dbt.
Proficiency in AWS Data Pipeline technologies including either Glue or Airflow; RDS Postgres and/or Aurora Postgres, Aurora/S3.
Proficiency in developing, developing against, and testing REST or GraphQL API's.
Experience supporting an API in production used by a user-facing web application.
Understanding of API testing, best practices, and the AWS API ecosystem: API Gateway, Lambda, etc.
Proficiency in DevOps include CI/CD, automated testing, and other DataOps best practices.
Understanding of and experience with data quality and other data pipeline automated testing such as Glue Data Quality or Great Expectations.
Understanding of monitoring, operational responsibility (e.g., on-call rotation), change control, and production systems operations.
Preferably including federal experience and understanding of NIST 800.53 (FISMA).
Bachelor's degree in computer science, information technology, or related field, and six years of experience
DUTIES:
Proficiency in developing, maintaining, monitoring, and the long-term operations of data pipelines or processing systems running in AWS, preferably GovCloud.
Understanding of data replication, extraction, transformation, loading, and performance tuning of solutions utilizing multiple streams of input data-e.g., ETL to RDBMS.
Preferably using code-based, git and DevOps-enabled technologies using Python or SQL such as PySpark, pandas, or dbt.
Developing, developing against, and testing REST or GraphQL API's.
Supporting an API in production used by a user-facing web application.
Understanding of API testing, best practices, and the AWS API ecosystem: API Gateway, Lambda, etc.
Proficiency in DevOps include CI/CD, automated testing, and other DataOps best practices.
Understanding of and experience with data quality and other data pipeline automated testing such as Glue Data Quality or Great Expectations.
Understanding of monitoring, operational responsibility (e.g., on-call rotation), change control, and production systems operations.
Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. "Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act".
Quadrant, Inc. is an equal opportunity and affirmative action employer. Quadrant is committed to administering all employment and personnel actions on the basis of merit and free of discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or status as an individual with a disability. Consistent with this commitment, we are dedicated to the employment and advancement of qualified minorities, women, individuals with disabilities, protected veterans, persons of all ethnic backgrounds and religions according to their abilities.
Washington, DC
Pay From: $75.00 per year
MUST:
Experienced AWS Data Engineer
10 plus years professional experience
5 years of experience as a mid- or senior-level data engineer with operational responsibilities in AWS, preferably GovCloud.
Proficiency in developing, maintaining, monitoring, and the long-term operations of data pipelines or processing systems running in AWS, preferably GovCloud.
Understanding of data replication, extraction, transformation, loading, and performance tuning of solutions utilizing multiple streams of input data-e.g., ETL to RDBMS. Preferably using code-based, git and DevOps-enabled technologies using Python or SQL such as PySpark, pandas, or dbt.
Proficiency in AWS Data Pipeline technologies including either Glue or Airflow; RDS Postgres and/or Aurora Postgres, Aurora/S3.
Proficiency in developing, developing against, and testing REST or GraphQL API's.
Experience supporting an API in production used by a user-facing web application.
Understanding of API testing, best practices, and the AWS API ecosystem: API Gateway, Lambda, etc.
Proficiency in DevOps include CI/CD, automated testing, and other DataOps best practices.
Understanding of and experience with data quality and other data pipeline automated testing such as Glue Data Quality or Great Expectations.
Understanding of monitoring, operational responsibility (e.g., on-call rotation), change control, and production systems operations.
Preferably including federal experience and understanding of NIST 800.53 (FISMA).
Bachelor's degree in computer science, information technology, or related field, and six years of experience
DUTIES:
Proficiency in developing, maintaining, monitoring, and the long-term operations of data pipelines or processing systems running in AWS, preferably GovCloud.
Understanding of data replication, extraction, transformation, loading, and performance tuning of solutions utilizing multiple streams of input data-e.g., ETL to RDBMS.
Preferably using code-based, git and DevOps-enabled technologies using Python or SQL such as PySpark, pandas, or dbt.
Developing, developing against, and testing REST or GraphQL API's.
Supporting an API in production used by a user-facing web application.
Understanding of API testing, best practices, and the AWS API ecosystem: API Gateway, Lambda, etc.
Proficiency in DevOps include CI/CD, automated testing, and other DataOps best practices.
Understanding of and experience with data quality and other data pipeline automated testing such as Glue Data Quality or Great Expectations.
Understanding of monitoring, operational responsibility (e.g., on-call rotation), change control, and production systems operations.
Quadrant, Inc. is an equal opportunity and affirmative action employer. Quadrant is committed to administering all employment and personnel actions on the basis of merit and free of discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or status as an individual with a disability. Consistent with this commitment, we are dedicated to the employment and advancement of qualified minorities, women, individuals with disabilities, protected veterans, persons of all ethnic backgrounds and religions according to their abilities.
Salary : $75