Data Engineer

Skills

Assembles and architects large complex sets of data that meet business and technical requirements Identifies designs and implements well-architected data-centric solutions including: Re-designs infrastructure for greater scalability Optimizes data delivery Automates manual processes Develops and maintains strategies on data consolidation Builds data models and defines the structure attributes and nomenclature of data elements Maintains a strong grasp of ETL process and development Manages Architects and builds Data ODS Warehouse and standard systems Builds required infrastructure for optimal extraction transformation and loading of data from various data sources Builds analytical tools to utilize the data pipeline providing actionable insight into key business performance metrics Works with stakeholders including data design product and executive teams and assists them with maximizing the impact of their data Addresses requests and needs on data analysis and report management Collaborates with application development product owners and business stake holders to achieve business results Participates in development and creation of Data warehouses Conducts Performance Tuning and Query Optimization using Performance Monitor SQL Profiler and other related monitoring and troubleshooting tools Demonstrates a strong knowledge of how indexes index management integrity checks configuration patching Writes and troubleshoots SQL Code ( stored procs functions tables views triggers indexes constraints ) Evaluates new data sources for adherence to the organization's quality standards and ease of integration Maintains database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating integrating and installing new releases; completing maintenance; answering user questions Provides database support by coding utilities responding to user questions and resolving problems Updates job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations Accomplishes information systems and organization mission by completing related results as needed Creates functions to provide custom functionality as per the requirements Develops best practices around database reporting and Business Intelligence tools

Description

ConvergeOne is a global IT Services and Consulting company headquartered in Bloomington, Minnesota with about 2,300 employees.
They provide managed cloud, cyber security, enterprises networking, data center, application and software development, security infrastructure, and hosted collaboration solutions.
More than 10,000 customers use client every day to help them build meaningful connections through innovative and secure experiences.
Client collaborates with most of the Fortune 100 companies along with other key global industry partners to deliver solutions with a total lifecycle approach. We hold more than 5,600 technical certifications across thousands of engineers throughout North America and operate three Customer Success Centers.
Specialties: Managed Services, Professional Services, Advisory Services, Cloud, Business Applications, Customer Experience, Modern Workplace, Cyber Security, Data Center, Enterprise Networking, Lifecycle Services, and Communication Platform as a Service.
The Senior Data Engineer’s role is to work with the stakeholders and project teams to ensure data needs/requirements are captured and fulfilled. This role would require a service-oriented mentality, high sense of ownership of the problems and requests assigned, focus on managing and resolving issues and establishing and maintaining communications with stake holders to keep them updated.

Responsibilities

• Communicates with the wider team appropriately, focusing on timeliness and good quality conversations
• Increases the robustness and reliability of a solution, and devotes time to polishing products and systems
• Helps individuals resolve difficult performance issues, with insight, compassion, and skill
• Develops new instances of existing "architectures", or minor improvements to existing "architectures"
• Identifies, monitors, and communicates technical risk factors, issues, status, and results to IT management
• Participates in design walk-throughs and database script/code reviews
• Qualifications:
• Experience with database design and architecture – both SQL and NoSQL experience in the Cloud (AWS or Azure in particular)
• Experience with data warehousing – leverage big data in a meaningful manner; Snowflake experience a plus
• Experience with data transformation and ingestion – unifying large datasets into usable/accessible destinations (AWS Glue, Azure Data Factory)
• Knowledge of data processing/buffering – proven experience dealing with high volumes of business critical data
• Knowledge of operational automation tooling – data deployment automation tools
• Knowledge of high availability architecting – focus on redundancy, fail-over, and resilience
• Good understanding of estimation techniques
• Bachelors in Business MIS, or Computer Science (or equivalent work experience)
• 4+ years’ experience in database administration of development
• 4+ years’ experience in technology or finance fields
• Certifications in SQL or other database technology
• Strong understanding of database structures, theories, principles, and practices
• Hands-on database tuning and troubleshooting experience
• Experience with data processing flowcharting techniques
• Good understanding of the organization’s goals and objectives
• Knowledge of applicable data privacy practices and laws
• Good written and oral communication skills
• Strong technical documentation skills
• Good interpersonal skills
• Ability to conduct research into database issues, standards and products as required
• Ability to present ideas in user-friendly language
• Highly self-motivated and directed
• Keen attention to detail
• Proven analytical and problem-solving abilities
• Ability to effectively prioritize and execute tasks in a high-pressure environment
• Strong customer service orientation
• Experience working in a team-oriented, collaborative environment