What are the responsibilities and job description for the Data Engineer position at Robert Half?
Job Description
Job Description
We are offering a long-term contract employment opportunity for a Data Engineer in OAKWOOD VILLAGE, Ohio. As a Data Engineer, you will be responsible for implementing algorithms, developing APIs, and utilizing various technologies to analyze and visualize data. You will also play a crucial role in extracting, reporting, and warehousing data.
Responsibilities :
- Utilizing Apache Kafka, Apache Pig, and Apache Spark to process and analyze data
- Implementing and optimizing cloud technologies for data storage and analysis
- Creating and maintaining data visualizations using Microsoft Power BI and Excel
- Implementing algorithms for complex data analysis and processing
- Developing and maintaining analytics using Apache Hadoop and AWS technologies
- Extracting relevant data from various sources for analysis and reporting
- Developing and maintaining data lakes for efficient data storage and retrieval
- Reporting data in a clear and understandable manner for stakeholders
- Ensuring the accuracy and integrity of data through data warehousing.
- Position requires a minimum of 3 years of experience in the role of Data Engineer or a similar position.
- Proficiency in Apache Kafka, Apache Pig, and Apache Spark is mandatory.
- A sound understanding of Cloud Technologies is essential.
- Demonstrated experience in Data Visualization is required.
- Ability to implement algorithms effectively is necessary.
- Strong background in Analytics is expected.
- Proficiency in Apache Hadoop is required.
- Experience in API Development is crucial.
- Familiarity with AWS Technologies is essential.
- Knowledge of Microsoft Power BI and Power BI is necessary.
- Proficiency in Microsoft Excel is required.
- Strong skills in Data Analysis and Data Analytics are necessary.
- Experience with Data Extraction is required.
- Understanding of Data Lakes is essential.
- Demonstrated experience in Data Reporting is necessary.
- Proficiency in Data Warehousing is required.