Data Engineer

  • location: Research Triangle Park, NC
  • type: Contract
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job description

Data Engineer

job summary:
We have a 6 month renewable position for a Data Analyst with an analytical, scientific, or mathematical background (not an IT background). We are looking for junior level candidates with 4 or less years of experience.

Accountabilities:

- Generate data management deliverable strategy such as business need analysis, data source identification and data modeling/integration approaches.

- Gather data and design data platform for data calls received from various sources.

- Perform data integration/engineering, process mapping and automation including wrangling unstructured and poorly structured data into appropriate data structures.

- Assist ETL Architects in developing source to target mapping. Work with IT platform leads and coordinate development, testing, and implementation phases ensuring that all deliverables meet expectations.

- Apply business knowledge to coordinate orchestration of data management, data science and data visualization to develop a streaming process model for automation, processes, data flow, modeling/analyses and visualization.

- Work with data stakeholders for the examination and resolution of issues related to information flow and content.

- Communicate all data issues or problems to management and makes recommendations for solutions.

- Ensure compliance with technical best practices, standards and policies. Support the Data Quality Program, including the creation and execution of DQ queries

Qualifications:

- Bachelor's Degree in a technical or science or equivalent technical expertise. BS degree or above preferred in Mathematics, Data Analytics, Statistics, Operations Research, computer science, Systems or Industrial Engineering.

- 2+ data management/integration experience preferably in agriculture industry.

- 2+ years proficiency in SQL, DBMS Languages, Data Profiling, Data Model Design and Data Architecture

- 2 + years experience with BigData tools, and/or other broader data skills/capabilities analyzing data across structured/ unstructured data

- Knowledge or experience in Informatica Data Quality, data modeling and data design of data warehouse, data marts, data lakes is preferable Experience in Data Modeling using ER Studio- Dimensional Modeling, Canonical Modeling

- Knowledge or experience in AWS Data Services (i.e. RDS, Redshift, S3, Athena, Glue, Kinesis, EMR).

- Knowledge or experience in ETL for both batch and real-time or near real-time data integration.

Preferences:

- Experience in complex ag datasets highly preferred

- General knowledge in Plant breeding process

- Project experience working in Agile development methodologies

- A team player with excellent communication skills, logical thinking and analytical skills.

- Ability to be flexible, decision oriented, and motivated.

- Ability to manage multiple work streams with conflicting deadlines proactively.

 
location: Durham, North Carolina
job type: Contract
work hours: 9am to 6pm
education: Bachelors
 
responsibilities:
We have a 6 month renewable position for a Data Analyst with an analytical, scientific, or mathematical background (not an IT background). We are looking for junior level candidates with 4 or less years of experience.

Accountabilities:

- Generate data management deliverable strategy such as business need analysis, data source identification and data modeling/integration approaches.

- Gather data and design data platform for data calls received from various sources.

- Perform data integration/engineering, process mapping and automation including wrangling unstructured and poorly structured data into appropriate data structures.

- Assist ETL Architects in developing source to target mapping. Work with IT platform leads and coordinate development, testing, and implementation phases ensuring that all deliverables meet expectations.

- Apply business knowledge to coordinate orchestration of data management, data science and data visualization to develop a streaming process model for automation, processes, data flow, modeling/analyses and visualization.

- Work with data stakeholders for the examination and resolution of issues related to information flow and content.

- Communicate all data issues or problems to management and makes recommendations for solutions.

- Ensure compliance with technical best practices, standards and policies. Support the Data Quality Program, including the creation and execution of DQ queries

Qualifications:

- Bachelor's Degree in a technical or science or equivalent technical expertise. BS degree or above preferred in Mathematics, Data Analytics, Statistics, Operations Research, computer science, Systems or Industrial Engineering.

- 2+ data management/integration experience preferably in agriculture industry.

- 2+ years proficiency in SQL, DBMS Languages, Data Profiling, Data Model Design and Data Architecture

- 2 + years experience with BigData tools, and/or other broader data skills/capabilities analyzing data across structured/ unstructured data

- Knowledge or experience in Informatica Data Quality, data modeling and data design of data warehouse, data marts, data lakes is preferable Experience in Data Modeling using ER Studio- Dimensional Modeling, Canonical Modeling

- Knowledge or experience in AWS Data Services (i.e. RDS, Redshift, S3, Athena, Glue, Kinesis, EMR).

- Knowledge or experience in ETL for both batch and real-time or near real-time data integration.

Preferences:

- Experience in complex ag datasets highly preferred

- General knowledge in Plant breeding process

- Project experience working in Agile development methodologies

- A team player with excellent communication skills, logical thinking and analytical skills.

- Ability to be flexible, decision oriented, and motivated.

- Ability to manage multiple work streams with conflicting deadlines proactively

 
qualifications:
We have a 6 month renewable position for a Data Analyst with an analytical, scientific, or mathematical background (not an IT background). We are looking for junior level candidates with 4 or less years of experience.

Accountabilities:

- Generate data management deliverable strategy such as business need analysis, data source identification and data modeling/integration approaches.

- Gather data and design data platform for data calls received from various sources.

- Perform data integration/engineering, process mapping and automation including wrangling unstructured and poorly structured data into appropriate data structures.

- Assist ETL Architects in developing source to target mapping. Work with IT platform leads and coordinate development, testing, and implementation phases ensuring that all deliverables meet expectations.

- Apply business knowledge to coordinate orchestration of data management, data science and data visualization to develop a streaming process model for automation, processes, data flow, modeling/analyses and visualization.

- Work with data stakeholders for the examination and resolution of issues related to information flow and content.

- Communicate all data issues or problems to management and makes recommendations for solutions.

- Ensure compliance with technical best practices, standards and policies. Support the Data Quality Program, including the creation and execution of DQ queries

Qualifications:

- Bachelor's Degree in a technical or science or equivalent technical expertise. BS degree or above preferred in Mathematics, Data Analytics, Statistics, Operations Research, computer science, Systems or Industrial Engineering.

- 2+ data management/integration experience preferably in agriculture industry.

- 2+ years proficiency in SQL, DBMS Languages, Data Profiling, Data Model Design and Data Architecture

- 2 + years experience with BigData tools, and/or other broader data skills/capabilities analyzing data across structured/ unstructured data

- Knowledge or experience in Informatica Data Quality, data modeling and data design of data warehouse, data marts, data lakes is preferable Experience in Data Modeling using ER Studio- Dimensional Modeling, Canonical Modeling

- Knowledge or experience in AWS Data Services (i.e. RDS, Redshift, S3, Athena, Glue, Kinesis, EMR).

- Knowledge or experience in ETL for both batch and real-time or near real-time data integration.

Preferences:

- Experience in complex ag datasets highly preferred

- General knowledge in Plant breeding process

- Project experience working in Agile development methodologies

- A team player with excellent communication skills, logical thinking and analytical skills.

- Ability to be flexible, decision oriented, and motivated.

- Ability to manage multiple work streams with conflicting deadlines proactively

 
skills: We have a 6 month renewable position for a Data Analyst with an analytical, scientific, or mathematical background (not an IT background). We are looking for junior level candidates with 4 or less years of experience.

Accountabilities:

- Generate data management deliverable strategy such as business need analysis, data source identification and data modeling/integration approaches.

- Gather data and design data platform for data calls received from various sources.

- Perform data integration/engineering, process mapping and automation including wrangling unstructured and poorly structured data into appropriate data structures.

- Assist ETL Architects in developing source to target mapping. Work with IT platform leads and coordinate development, testing, and implementation phases ensuring that all deliverables meet expectations.

- Apply business knowledge to coordinate orchestration of data management, data science and data visualization to develop a streaming process model for automation, processes, data flow, modeling/analyses and visualization.

- Work with data stakeholders for the examination and resolution of issues related to information flow and content.

- Communicate all data issues or problems to management and makes recommendations for solutions.

- Ensure compliance with technical best practices, standards and policies. Support the Data Quality Program, including the creation and execution of DQ queries

Qualifications:

- Bachelor's Degree in a technical or science or equivalent technical expertise. BS degree or above preferred in Mathematics, Data Analytics, Statistics, Operations Research, computer science, Systems or Industrial Engineering.

- 2+ data management/integration experience preferably in agriculture industry.

- 2+ years proficiency in SQL, DBMS Languages, Data Profiling, Data Model Design and Data Architecture

- 2 + years experience with BigData tools, and/or other broader data skills/capabilities analyzing data across structured/ unstructured data

- Knowledge or experience in Informatica Data Quality, data modeling and data design of data warehouse, data marts, data lakes is preferable Experience in Data Modeling using ER Studio- Dimensional Modeling, Canonical Modeling

- Knowledge or experience in AWS Data Services (i.e. RDS, Redshift, S3, Athena, Glue, Kinesis, EMR).

- Knowledge or experience in ETL for both batch and real-time or near real-time data integration.

Preferences:

- Experience in complex ag datasets highly preferred

- General knowledge in Plant breeding process

- Project experience working in Agile development methodologies

- A team player with excellent communication skills, logical thinking and analytical skills.

- Ability to be flexible, decision oriented, and motivated.

- Ability to manage multiple work streams with conflicting deadlines proactively


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.

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