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Senior Data Analytics Engineer Jobs in Illinois

Senior Data Engineer Jobs
By Walgreens At Deerfield, IL, United States
Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
At least 2 years of experience with REST API development
Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.
Experience presenting to all levels of an organization
At least 2 years of experience contributing to financial decisions in the workplace.
Experience with big data tools: Hadoop, Spark, EventHub etc.
Senior Data Engineer Jobs
By Egen At Illinois, United States
You have expert programming/scripting knowledge in building and managing ETL pipelines using SQL, Python, and Bash.
Design, documented, and led the development of end-to-end data product pipelines
Prepare data mapping, data flow, production support, and pipeline documentation for all projects.
You have productized real-time data pipelines through EDA leveraging Kafka or a similar service.
You have a strong understanding and exposure to data mesh principles in building modern data-driven products and platforms
You have a strong background in distributed data warehousing with Snowflake, Redshift, Big Query, and/or Azure Data Warehouse.
Senior Business Analyst - Data & Analytics
By McDonald's At Chicago, IL, United States
Collaborating with business stakeholders to gather and document data, analytics and reporting requirements.
Translating business requirements into data analysis plans and data models.
Actively facilitate and drive requirements gathering discovery workshops with segment, market, global stakeholders
Conducting user acceptance testing (UAT) to validate data and analytics solutions against business requirements.
Maintain detailed knowledge of the key business processes and systems and identify integration, alignment and improvement opportunities
Solid understanding of business processes and ability to translate business requirements into analytical solutions.
Data Engineer - Data & Analytics
By McDonald's At Chicago, IL, United States
Demonstrated experience in data management & data governance capabilities
Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
Experience with Agile project management methods and terminology a plus
Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
Collaborating with data scientists and analysts to understand data requirements and ensure data accuracy, integrity, and availability.
Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
Senior Data Engineer Jobs
By Prestige Staffing At Chicago, IL, United States
BS in Engineering, Information Technology, or equivalent work experience.
5+ years of extensive, hands-on experience designing and implementing distributed data architecture for BI and OLTP systems.
Design, implement, test, deploy, and maintain data engineering solutions and pipelines.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Senior Manager, Tech Lead - Data & Analytics
By McDonald's At Chicago, IL, United States
Hands-on with Event, Workflow and Application driven Data Architecture. API and Microservices management
Actively manage and drive accountability of 3rd party technology vendors
Manage technical interdependencies and interfaces of their product with other systems and products
Define critical non-functional requirements that sustain throughout the data product lifecycle
Manage temporary solutions and technical debt at the squad level
8+ years of technically focused experience in related technologies and languages (Web Services, Java, XML, S3, NoSQL, Kafka, Spark, etc.)
Software Engineer - Data Analytics
By Zscaler At , San Jose, 95134, Ca
Establish what constitutes optimal experience and identify anomalies based on multiple variables
Build models to identify potential problem scenarios impacting user experience and automatically arrive at the root cause
Work with product managers to understand and prioritize use cases from the field
Experience modeling time series to generate predictions and detect anomalies
Strong SQL and Python skills is required
Experience using ML Libraries such as TensorFlow, Scikit Learn, others

Are you an experienced Data Analytics Engineer looking to take your career to the next level? We are looking for a Senior Data Analytics Engineer to join our team and help us drive insights from our data. You will be responsible for developing and maintaining data pipelines, analyzing data, and creating reports and visualizations to help us make better decisions. If you are passionate about data and have a knack for problem-solving, this is the perfect opportunity for you!

What is Senior Data Analytics Engineer Skills Required?

• Expertise in data engineering, data analysis, and data visualization
• Proficiency in SQL, Python, and other programming languages
• Knowledge of data warehousing and data mining concepts
• Ability to develop and maintain data pipelines
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
• Familiarity with machine learning and artificial intelligence
• Excellent problem-solving and communication skills

What is Senior Data Analytics Engineer Qualifications?

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
• 5+ years of experience in data engineering, data analysis, and data visualization
• Experience with data warehousing and data mining concepts
• Proficiency in SQL, Python, and other programming languages
• Knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases
• Familiarity with machine learning and artificial intelligence

What is Senior Data Analytics Engineer Knowledge?

• Knowledge of data engineering, data analysis, and data visualization
• Knowledge of data warehousing and data mining concepts
• Knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases
• Knowledge of machine learning and artificial intelligence

What is Senior Data Analytics Engineer Experience?

• 5+ years of experience in