You haven't searched anything yet.
Job Description Summary
Under moderate supervision, designs, develops, tests, debugs and implements moderately complex operating systems components, software tools, and utilities required for the operation, maintenance, and control of computer systems. Makes moderately complex modifications to existing software to fit specialized needs and configurations and maintains program libraries and technical documentation. Assists in planning, scheduling, and implementation. Initiates corrective action to stay on schedule.
This position can be fully remote anywhere in the US, on-site as the business requires.
Job Description
Summary:
A data engineer develops and optimizes Enablon’s conceptual and logical data systems. Enablon has an extraordinarily rich product ecosystem which is very data centric:
Our systems need to share data to support joint scenarios where products interact with each other and share the same data referential (locations, sites, organization, equipment…).
We want to federate this information in a data warehouse for existing & future purposes
We need various data marts to be built for reporting or AI analysis
To succeed in this role, the candidate knows how to examine new data system requirements and implements migration models. The candidate has proven experience in data analysis and management, with excellent analytical and problem-solving abilities.
The candidate works together with others in solving complex technical problems. The candidate uses analytical thought to exercise judgement and identify innovative solutions. The candidate works independently – with guidance in only the most complex situations – to impact the achievement of project objectives. Their work is guided by technical and professional standards and guidelines.
The ideal candidate has the skills to communicate difficult concepts and to influence others to adopt a different point of view and reach consensus for action.
Essential Duties and responsibilities:
Designs and implements effective database solutions and models to store and retrieve company data:
Activities (responsibility)
Examines and identifies database structural necessities by evaluating operations, applications, and programming. Oversees the migration of data from legacy systems to fresh solutions
Understands the needs around identified use cases and translates them into structured data in data warehouses / data marts
Builds an end-to-end layered data pipeline
Identifies commonalities between use cases to create a data catalog
Builds a master data management
Automates the quality assessment of unstructured data coming from existing products
Monitors the system performance by performing regular tests, troubleshooting, and integrating new features
Expected outcomes (accountability)
Installs and organizes information systems to guarantee feature completeness
Recommends solutions to improve new and existing data-related base (sub-)systems – database, ETL engine, BI engine, etc.
Can take the following decisions
Makes technical decision in project under their responsibility
Supports company’s ambitions towards data management by training others:
Activities (responsibility)
Educates staff members through training and individual support
Helps on smooth transition to data software engineers
Reviews & audits implementations
Offers support by responding to system problems in a timely manner.
Expected outcomes (accountability)
Guidelines shared & approved by the Architecture Guild
Training materials
Monitoring / sanity checks
Other duties:
Activities (responsibility)
Participates to technical conferences in his/her domain
Networks with technical experts, or at technical level with suppliers and customers
Expected outcomes (accountability)
Collaboration opportunities
Job Qualifications
Education:
Prior experience:
A minimum of 5 years’ experience in a similar role
Strong knowledge of database structure systems
Excellent technical and analytical skills
Other Knowledge, Skills, Abilities or Certifications:
Impactful decision maker
Analytical person with a “can do,” positive and pragmatic attitude
Good interpersonal relationship
Fluent English is a must have, French / Dutch are nice to have
Programming Languages: Python is a must have, .NET / Java / C / Bash are nice to have
NoSQL/SQL: database design, development, and data modeling (e.g., MySQL, PostgreSQL, DynamoDB, Redshift, Elasticsearch, Redis, Memchached).
Big Data Tools: data lakes (S3 & HDFS) / Snowflake Hadoop / Spark / Presto / Hive / Redshift / Kinesis / Kafka / EMR / AWS Batch / AWS Data Pipeline / Elasticsearch
Cloud: Azure / AWS and affiliated data management services
DevOps & Automation: containers and container orchestration (Docker, ECS, Kubernetes), infrastructure as code (CloudFormation & Terraform), CI/CD pipelines (Jenkins & TeamCity), configuration management and orchestration (Ansible & Salt)
Software Design: design patterns, event sourcing, CQRS, algorithms, microservices, web services (SOAP/REST), test driven development (TDD), domain driven design (DDD)
Travel requirements:
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Full Time
$98k-123k (estimate)
03/20/2023
06/01/2023
wolterskluwer.com
WICHITA, KS
15,000 - 50,000
1913
Private
BRYAN DIFFIN
$1B - $3B
Business Services
Speedtax is engaged in providing tax planning and sales management services.
The job skills required for Data Engineer include SQL, Python, AWS, Big Data, Data Warehouse, Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
01/22/2022: Fort Wayne, IN
Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
02/10/2022: Winston Salem, NC
Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.