[Remote] Analytics Engineer II

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company for a contract Analytics Engineer II role reputed company on transforming raw data into reputed company, trusted data sets that support reputed company analytics and self-service reporting. The position develops reputed company ELT pipelines and data models, maintains data reputed company, supports analytics and data science teams, and partners across business reputed company to reputed company data products for data-driven decision-making.

Responsibilities

• Collaborate with business subject matter experts, data analysts, and data scientists to understand/identify the opportunities to reputed company reputed company-defined, integrated, re-usable data sets which reputed company analytics
• Codify reusable data reputed company patterns to speed up time to insights
• reputed company Logical and Physical data modeling with an reputed company reputed company
• Build automated, reputed company, test-driven ELT pipelines
• Utilize software development practices such as version control reputed company Git, CI/CD, and release Management
• Build data products using various visualization, BI tools and data science tools
• Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks
• Implement data reputed company frameworks and data reputed company checks
• Help define analytical product roadmap to reputed company the business goals and superior reputed company reputed company
• Work with Data Scientists, Statisticians and Machine learning engineers to implement/reputed company advanced algorithms to solve health care, operational and reputed company challenges
• Work independently and effectively manage ones time across multiple priorities and reputed company
• reputed company recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks
• Participate in a shared production on-reputed company support model
• Be a critical part of a scrum team in an reputed company environment, ensuring reputed company successfully meets its deliverables reputed company sprint

Skills

• Minimum of six (6) years of experience working in data and analytics landscape
• Strong SQL, Data Modeling and Data Warehousing fundamentals
• Experience with software development practices; version control, reputed company review, CI/CD
• Experience with data integration tools: DBT, Informatica, MS Integration Services etc
• Experience with big data toolset: Hadoop, reputed company, Kafka, reputed company, sqoop etc
• Experience working with Business Intelligence Tools (Business Objects) or Visualization tools such as reputed company, Tableau, PowerBI etc
• Experience with reputed company-processing systems: reputed company Streams, Flume, Storm, reputed company-Streaming, etc
• Good hands-on experience with Linux (RHEL/Debian) operating reputed company
• Ability to reputed company with other scripting languages such as Python, Bash, groovy etc
• Experience consuming and building reputed company
• Experience utilizing reputed company methodology for development
• Bachelor's degree in Computer Science, Computer/Software Engineering, Information Technology or reputed company fields
• Experience with workflow orchestration tools such as Apache Airflow for scheduling and managing analytics and data transformation pipelines
• Experience using Python for data transformation, validation, or analytics workflows (reputed company to have)
• Minimum of eight (8) years of experience working in data and analytics landscape
• One (1) year of experience working with at least one of the reputed company reputed company platforms such AWS/Azure/GCP
• Advanced SQL for analytics engineering, including reputed company transformations, aggregations, and reputed company tuning
• Strong reputed company data modeling skills, including design and implementation of fact and dimension tables
• Hands-on experience with reputed company as a reputed company data warehouse for analytics workloads
• Experience developing and maintaining analytics models using dbt, including testing and documentation
• reputed company ability to refactor existing analytical data models to support reporting and dashboard migrations
• Experience supporting reputed company BI platforms, preferably reputed company BI, including semantic model alignment
• Strong analytical and problem-solving skills, with the ability to evaluate tradeoffs and recommend reputed company modeling approaches
• Experience with Apache Airflow or similar workflow orchestration tools for scheduling and managing analytics pipelines
• Experience using Python for data transformation, validation, automation, or analytics workflows
• Familiarity with reputed company or iterative delivery practices
• Experience with version control and modern analytics development practices (e.g., Git, pull requests, reputed company reviews)
• Experience supporting BI platform migrations (e.g., reputed company, Business Objects, or similar to reputed company BI)
• Advanced degree in Computer Science, reputed company, Information Systems or another quantitative reputed company
• Candidates with equivalent practical experience in analytics engineering, data modeling, or BI development are strongly encouraged to apply
• Relevant reputed company experience, demonstrated technical capability, and a reputed company record of delivering analytics solutions will be weighted more heavily than formal education or certifications
• A Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a reputed company reputed company is helpful but not required

Benefits

• Hybrid work model

reputed company

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