Passionate and multi-talented individual with deep expertise in the design, creation, and management of large and complex datasets, crafting, implementing, and operating stable, scalable solutions to flow huge amounts of data into the Redshift cluster and build complex transforms.
Locations (2)
Austin, Texas, United States
Bellevue, Washington, United States
Compensation
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
Responsibilities
Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting.
Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership.
Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Requirements
Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Support the technical delivery and ongoing maintenance of Celonis process mining solutions, including data integration, SQL logic, platform support, and data validation.
Responsibilities
Prepare data from various systems and develop data models using SQL scripts and build prototype dashboards in Process Mining tool
Explore and propose technical solutions based on Celonis capabilities, available data, and business needs
Work with different businesses and EMIT support team around the globe
Troubleshoot data refresh issues, transformation errors, dashboard discrepancies, and data quality concerns
Requirements
Nice to have: Experience with OCPM or object-centric process mining
Technology Data Analyst will perform data, business, and technical analysis to design and deliver data solutions aligned with enterprise AI & Data strategy.
Compensation
Salary Range: $81,000-$115,500
Responsibilities
Collaborate with business stakeholders, data engineers, and analytics teams to gather and document business, analytical, and data requirements.
Translate business questions and analytical needs into clear data specifications, source-to-target mappings, and technical requirements.
Perform data analysis, data profiling, and validation to support data ingestion, transformation, and consumption layers.
Partner with data engineering teams to design, enhance, and support scalable data pipelines and data products.
Support the development and maintenance of data models, metrics definitions, and semantic layers for reporting and analytics.
Support the Business Solutions Manager in analyzing operational data, workflows and processes, identifying opportunities and generating solutions for business performance improvement.
Locations (3)
Kowloon Bay, Kwun Tong District, Hong Kong
Ningbo, Zhejiang, China
United States
Responsibilities
Analyze operational data, workflows and processes
Identify opportunities and generate solutions for business performance improvement
Enhance operational excellence and streamline business processes
Collaborate with business teams in Hong Kong, Ningbo and US to improve applications, automate workflows, and enhance operational efficiency
Maintain scalable ETL/ELT pipelines for third‑party systems
Design, develop, test, and maintain applications and workflows on the enterprise platform using Palantir Foundry.
Build and enhance data pipelines, transformations, and integrations to support business use cases.
Collaborate with product owners, business analysts, data engineers, and architects to understand requirements and deliver effective technical solutions.
Develop reusable components and follow best practices for code quality, performance, and maintainability.
Troubleshoot production issues, perform root cause analysis, and implement sustainable fixes.
Requirements
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Lead business solution architecture for complex enterprise initiatives supporting digital transformation and strategic business objectives.
Locations (2)
Melbourne, Florida, United States
Tallahassee, Florida, United States
Compensation
In compliance with pay transparency requirements, the salary range for this remote role in California, Connecticut, Massachusetts, New Jersey, Washington, and the Greater D.C., Denver, or NYC areas is $132,000 - $245,000. The salary range for this remote role in Colorado, Hawaii, Illinois, Maine, Maryland, Minnesota, New York State, Cleveland, Ohio, Vermont, and Virginia is $115,000 - $213,000.
Responsibilities
Lead business solution architecture for complex enterprise initiatives supporting digital transformation and strategic business objectives.
Partner with business stakeholders, program teams, IT, engineering, and data organizations to identify priorities, define solution strategies, and deliver measurable business outcomes.
Translate business challenges into scalable, secure, and sustainable solution designs by leading requirements gathering, process analysis, solution architecture, and evaluation of solution alternatives.
Experienced Data Engineer focusing on building scalable data solutions, modernizing data warehouses, and supporting data-driven business decisions using GCP, Snowflake, dbt, Python, and SQL.
Responsibilities
Design, develop, and optimize data pipelines and data models using modern cloud technologies.
Build and maintain dbt models and complex data transformations using Python and SQL.
Support data warehouse modernization, BI migrations, and integration of multiple data sources.
Develop analytical datasets and reporting solutions to support business decisions.
Ensure data quality, testing, monitoring, and documentation.
Guide end-to-end solution delivery, including implementation planning, testing, deployment, organizational change management, user adoption, and business value realization.
Ensure solutions leverage trusted enterprise data while promoting data quality, governance, standardized business processes, and alignment with enterprise architecture.
Requirements
Bachelor’s Degree
Graduate Degree
Minimum of 13 years of prior related experience
Nice to have: Experience supporting or leading complex solution delivery efforts
Nice to have: Experience translating business requirements into technical or operational solutions
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