Name of The Company: Walgreens
Name of the Post: Senior Data Engineer
Qualification Need: Graduation
Location: Helena, USA
What’s the Salary: $20-$30/Hour
Summary Of Work
Sr. The Data Engineer Creates And Manages Big Data Pipelines To Support Advanced Analytics And Data Science Solutions. This Role Also Identifies Valuable Internal And External Data And Works Closely With Data Scientists To Interpret Data To Design, Develop And Deploy Innovative Solutions That Support Company Priorities.
Job Responsibility
- Develops Software That Processes, Stores And Provides Data For Use By Others.
- Develops Big Data Structures And Channels To Organize, Collect And Standardize Data To Help Generate Insights And Address Reporting Needs. He Wrote ETL Processes (Extract / Transform / Load), Designed Database Systems And Developed Tools For Real-Time And Offline Analytical Processing.
- Develops And Maintains Optimal Data Pipelines For Advanced Analytics Platforms, Including Design Of Data Flows, Procedures, And Schemas. It Ensures That Optimal Data Channels Are Scalable, Repeatable And Secure.
- Troubleshoot Software And Processes For Data Consistency And Integrity. It Integrates Data From Various Sources And Ensures That It Meets Data Quality And Availability Standards.
- Anticipate And Avoid Problems And Obstacles Before They Occur. Collaborate With Internal And External Colleagues And Managers To Exchange Comprehensive Information Regarding Areas Of Expertise.
- Work With Data Scientists To Prepare Data For Model Development
Basic Qualifications
- Bachelor's Degree And At Least 4 Years Of Data Engineering Experience OR Graduate Degree In A Technical Field And At Least 2 Years Of Data Engineering Experience
- Deep Knowledge Of SQL
- At Least 2 Years Of REST API Development Experience
Experience Establishing And Maintaining Key Relationships With Internal (Peers, Business Partners And Management) And External (Business Community, Clients And Suppliers) Within A Parent Organization To Ensure Service Quality Standards. Experience Diagnosing, Isolating And Resolving Complex Business Issues And Recommending And Implementing Strategies To Resolve Issues.
Experience Presenting At All Levels Of The Organization
Willingness To Travel Up To 10% Of The Time For Business Purposes (In And Out Of State).
Preferred Qualifications
- Advanced Skills In RDBMS (MSSQL, Postgres, Oracle, Etc.), Document Databases (Mongodb, Cosmos Document, Couchbase, Etc.), Key-Value Databases (Azure Table Storage, Cosmos Table, Amazon Dynamo, Etc.)
- Advanced Skills In Broad Columnar Databases (Cassandra, Mariadb, Etc.) And Graph Databases (Neo4J, Cosmos Gremlin, Etc.)
- Deep Knowledge Of Advanced Level Skills In Data Warehouses And Data Lakes
- Advanced Data Migration And Transformation Skills
- Experience With Azure Application Processing Tools Such As ADLS, Databricks, ADF, Azure Flow, Synapse, Power BI
- Experience With Message Streaming Systems Such As Kafka Or Azure Event Hubs
- Experience Deploying Azure Applications
- Experience Working With Data Scientists And Machine Learning Engineers.
- Experience The API As A Layer To Provide/Expose Data To The ETL Process. Ability To Evaluate The Effectiveness And Accuracy Of New Data Sources And Data Collection Methods And Good Knowledge Of SQL And NO SQL Databases.
