Data Engineer

Data Management SpecialistPerform all necessary data related tasks which could include data design, data quality, data triage, data governance or data architecture. 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.ResponsibilitiesPerform all necessary data related tasks which could include data design, data quality, data triage, data governance or data architecture.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.Involve in technical sync up and meetings with internal team including US and offshore teamsCollaborate with across functional teams (data eng, data solution, service, and/or tier 1 support team) via Teams meetings, chat, and/or email for issue triaging and resolution.Technical Skills Required5-7 years' experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.)3 year or more of experience in a Cloud environment (AWS, Snowflake)Strong SQL and PythonDesired SkillsStrong AWS experience, including SageMaker, S3, RDS, Cloudwatch and related servicesStrong Snowflake experienceStrong SQL, Python and/or Java technical development skillsetUnderstanding of logical data Domains, primarily Customer & Equipment DomainsExperience in Data Operations, Tier 2 Support, or comparable Data Engineering Support roleStrong 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 RequiredVerbal and written communication skills. Ability to clearly communicate complex technical ideasProblem solving skills, customer service and interpersonal skillsAbility to work collaboratively in a complex, rapidly changing, and culturally diverse environmentEducation & Experience RequiredA 4-year degree from an accredited college or university or equivalent experience