Data Engineer
Diversified Services Network, Inc.About the role
JOB RESPONSIBILITIES:
· Perform all necessary data related tasks which could include data design, data quality, data triage, data governance or data architecture – SQL, Snowflake, AWS
· Develop a break/fix solution and address the root cause in the data pipeline implementation/code – Python, AWS
· Develop scripts and automation tools to better detect and correct data issues.
· Develop monitoring and alerting capabilities to proactively detect data issues
· Works directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls.
· This position will contribute significantly to the efficiency and effectiveness of our data operations, enabling the team to deliver high-quality data solutions and support to various business units.
· Identify, investigate, and obtain resolution commitments for platform and data issues to maintain and improve the quality and performance of assigned digital product data.
· Issue Identification: Reports in all forms from customers, dealers, industry representatives, and subsidiaries.
· Issue Investigation: Statistical analysis, data triage, and infrastructure problem-solving.
· Issue Resolution: Identify root causes, create SageMaker scripts to fix data, and perform break/fix tasks on data pipeline code.
· Develop scripts and automation tools to better detect and correct data issues.
· Develop monitoring and alerting capabilities to proactively detect data issues.
· Work directly on complex application and technical problem identification and resolution, including responding to off-shift and weekend support calls.
· Communicate with end users and internal customers to help direct the development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness.
Requirements
EDUCATION & EXPERIENCE REQUIRED:
· Bachelor’s OR Master’s degree rom an accredited college or university or equivalent experience.
· 5-7 years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.)
REQUIRED SKILLS:
· 5-7 years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.)
· Experience with development and delivery of microservices using serverless AWS services (S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM)
· 4 year or more of experience in a Cloud environment (AWS, Snowflake)
· Strong SQL and Python
DESIRED SKILLS:
· Strong AWS experience, including SageMaker, S3, RDS, Cloudwatch and related services
· Strong Snowflake experience
· Strong SQL, Python development skillset
· Understanding of logical data Domains, primarily Customer & Equipment Domains
· Experience in Data Operations, Tier 2 Support, or comparable Data Engineering Support role
· Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores,business intelligence reporting, and big data analytics.
· Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).
· Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.
SOFT SKILLS REQUIRED:
· Verbal and written communication skills. Ability to clearly communicate complex technical ideas
· Problem solving skills, customer service and interpersonal skills
· Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment
Benefits
· 401(k)
· Dental insurance
· Vision Insurance
· Disability insurance
· Employee assistance program
· Health insurance
· Health savings account
· Life insurance
· P
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