Data Engineer

forhyre.com is seeking a Data Engineer to build and improve data engineering and reporting solutions. The role focuses on designing and developing ETL processes on Azure, analyzing business and data requirements, and delivering enterprise data solutions.

Responsibilities

• Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
• Understand the full end to end development activities from design to go live for ETL development and Azure platform
• Recommend and execute improvements
• Document component design for developers and for broader communication
• Understand and adopt an Agile (SCRUM like) software development mindset
• Follow established processes/standards, business technology architecture for development, release management and deployment process
• Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews
• Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements
• Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies
• Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements
• Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems

Company

• Intelligent augmentation platform for connected global workforces
• New York, New York, USA
• https://www.forhyre.com/
• Founded in 2015
• 2-10 employees

Qualifications

• We are looking for a passionate certified Data Engineer
• Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
• Secondary: Databricks
• Proven working experience as a data engineer
• Bachelor degree or equivalent in Computer Science
• Skilled in Python object-oriented programming
• Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
• Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
• Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
• Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
• Skilled in SQL
• Skilled in Jenkins
• Skilled in JSON
• Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
• Skilled in cloud technologies and cloud computing
• Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
• Programming including coding, debugging, and using relevant programming languages
• Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc
• Ability to frame ideas as systems and analyzing the inputs, outputs, and process
• Experience helping an organization to plan and manage change in effort to meet strategic objectives
• Adept at managing project plans, resources, and people to ensure successful project completion
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Forhyre is an intelligent augmentation ( IA ) platform, enabling a connected global workforce to deliver positive business impact.
• New York, New York, USA
• https://www.forhyre.com
• Total Funding
• unknown
• 2016-03-01
• Seed
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Required skills

• Python, PySpark, Amazon Web Services (AWS), SQL, Microsoft Azure, ETL, Data Warehousing, Azure Data Factory, SQL Server, Databricks, Jenkins, JSON

Experience

• Mid level