Datawarehouse Developer

[ad_1]

APPLY NOW!

Job title: Datawarehouse Developer

Company: Randstad

Job description: job summary:
Data Warehouse Developer

Role Overview

The Data Warehouse Developer will be responsible for building and maintaining a company level data warehouse that will support large scale data operations across a disparate set of data sources. The developer will work closely with Business Analysts, Data Scientists, and Sales to determine data and reporting needs. Experience as a developer/engineer in a cloud warehouse environment is a must, with a strong preference for hands-on experience working with the AWS Redshift Platform.

The successful candidate will have strong, direct experience in the following technology areas.

  • A variety of data integration methodologies (ELT/ETL) in a data warehouse environment
  • Data modeling across disparate data sources with a variety of formats and structures
  • Hands on programming in SQL and Python for the purpose of data movement

Other technology areas that will have positive impact on consideration will be.

  • Apache Spark
  • Apache Airflow
  • AWS

Responsibilities

Responsibilities include but not limited to:

  • Design and build new data products to meet business needs.
  • Develop and maintain internal data warehouse and reporting systems.
  • Maintain and enhance existing data and reporting datasets to maximize business impact.
  • Design and implement QA environment and processes allowing end to end testing of proposed changes from data ingestion to visualization
  • Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized DataMart
  • Work closely with Business Analysts, Data Scientists, and Sales to determine data and reporting needs.
  • Create and maintain testable, maintainable data pipelines in python.
  • Take the data warehouse to the next level by increasing data timeliness and solidifying the reusable data assets.
  • Proficiency with OLAP Database Environments
  • Ability to work effectively in a team environment, as well as independently with limited supervision
  • Full systems lifecycle experience (from requirements to delivery) of database projects
  • Experience designing, building, configuring, supporting, and maintaining high-volume, large database systems
  • Must be able to transform data into traditional data warehouse schemas
  • Create visualizations and reports for requested projects (SSRS, Tableau experience or similar desired)
  • Develop and execute database queries and conduct analyses
  • Experience using a version control system (TFS) and Proficiency with agile project management tools (e.g. Jira)
  • Define the processes and frameworks allowing the Analytics team to prepare enriched and aggregated data assets for reporting and data science
  • Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
  • Participating in on-call rotations

Skills

  • Design and build new data products to meet business needs.
  • Experience developing data pipelines in Python
  • Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized DataMart
  • Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
  • Expertise in designing data warehouses using Redshift
  • Fluency in different SQL techniques for data transformation and data analysis
  • Top-notch troubleshooting and analytical problem-solving skills
  • strong understanding of relational database structures, theories, principals, and practices
  • Experience working with SSIS or similar ETL tools
  • Excellent demonstrable programming skills using SQL, Python, etc.

Education/Qualifications:

Technical Requirement:

  • BSc / MSc degree (Computer Science, Computer/Electrical Engineering, Software Engineering, or other STEM field) or equivalent work experience
  • 5+ years of hands-on experience designing and developing data warehouse analytics solutions
  • MCSA/MCSE Certification

location: WHITE PLAINS, New York
job type: Permanent
salary: $90,000 – 100,000 per year
work hours: 8am to 4pm
education: Bachelors

responsibilities:
Data Warehouse Developer

Role Overview

The Data Warehouse Developer will be responsible for building and maintaining a company level data warehouse that will support large scale data operations across a disparate set of data sources. The developer will work closely with Business Analysts, Data Scientists, and Sales to determine data and reporting needs. Experience as a developer/engineer in a cloud warehouse environment is a must, with a strong preference for hands-on experience working with the AWS Redshift Platform.

The successful candidate will have strong, direct experience in the following technology areas.

  • A variety of data integration methodologies (ELT/ETL) in a data warehouse environment
  • Data modeling across disparate data sources with a variety of formats and structures
  • Hands on programming in SQL and Python for the purpose of data movement

Other technology areas that will have positive impact on consideration will be.

  • Apache Spark
  • Apache Airflow
  • AWS

Responsibilities

Responsibilities include but not limited to:

  • Design and build new data products to meet business needs.
  • Develop and maintain internal data warehouse and reporting systems.
  • Maintain and enhance existing data and reporting datasets to maximize business impact.
  • Design and implement QA environment and processes allowing end to end testing of proposed changes from data ingestion to visualization
  • Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized DataMart
  • Work closely with Business Analysts, Data Scientists, and Sales to determine data and reporting needs.
  • Create and maintain testable, maintainable data pipelines in python.
  • Take the data warehouse to the next level by increasing data timeliness and solidifying the reusable data assets.
  • Proficiency with OLAP Database Environments
  • Ability to work effectively in a team environment, as well as independently with limited supervision
  • Full systems lifecycle experience (from requirements to delivery) of database projects
  • Experience designing, building, configuring, supporting, and maintaining high-volume, large database systems
  • Must be able to transform data into traditional data warehouse schemas
  • Create visualizations and reports for requested projects (SSRS, Tableau experience or similar desired)
  • Develop and execute database queries and conduct analyses
  • Experience using a version control system (TFS) and Proficiency with agile project management tools (e.g. Jira)
  • Define the processes and frameworks allowing the Analytics team to prepare enriched and aggregated data assets for reporting and data science
  • Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
  • Participating in on-call rotations

Skills

  • Design and build new data products to meet business needs.
  • Experience developing data pipelines in Python
  • Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized DataMart
  • Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
  • Expertise in designing data warehouses using Redshift
  • Fluency in different SQL techniques for data transformation and data analysis
  • Top-notch troubleshooting and analytical problem-solving skills
  • strong understanding of relational database structures, theories, principals, and practices
  • Experience working with SSIS or similar ETL tools
  • Excellent demonstrable programming skills using SQL, Python, etc.

Education/Qualifications:

Technical Requirement:

  • BSc / MSc degree (Computer Science, Computer/Electrical Engineering, Software Engineering, or other STEM field) or equivalent work experience
  • 5+ years of hands-on experience designing and developing data warehouse analytics solutions
  • MCSA/MCSE Certification

qualifications:

  • Experience level: Experienced
  • Minimum 5 years of experience
  • Education: Bachelors

skills:

  • Database Developer

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Expected salary: $90000 – 100000 per year

Location: White Plains, NY

Job date: Thu, 25 Feb 2021 07:12:11 GMT


APPLY NOW!


[ad_2]

Leave a Reply