Salary $70-80
Location Florida, USA
Type Contract
Start ASAP
Senior Data Engineer (W2)
89952
Desired skills:
AWS, GCP, Azure, Data, Big Data, Data Engineering
**US CITIZEN OR GREEN CARD HOLDERS ONLY **PLEASE NOTE THIS ROLE CANNOT ACCEPT C2C, C2H, WORK PERMITS OR VISA TRANSFERS. NO OUTSIDE ASSISTANCE NEEDED **
Are you a passionate and experienced Cloud Data Engineer looking for an exciting opportunity to shape the future of data-driven decision-making? Join my client's dynamic team and play a pivotal role in designing, implementing, and optimizing their cutting-edge data solutions.
The client are a leading software company dedicated to leveraging data to drive innovation and enhance their services. They are at the forefront of technology adoption, and they are seeking a Cloud Data Engineer to help them revolutionize the way they manage, process, and analyze vast amounts of data.
Key Responsibilities:
- Design, implement, and maintain scalable data pipelines and ETL processes using AWS services such as Glue, EMR, Lambda, and Step Functions.
- Collaborate with cross-functional teams to understand data requirements and translate them into efficient data processing solutions.
- Optimize data storage, processing, and retrieval techniques to ensure high performance and cost-effectiveness.
- Develop and manage data models, data sets, and data catalogues, ensuring data accuracy and integrity.
- Monitor data processing activities, troubleshoot issues, and ensure data quality throughout the pipeline.
- Stay up-to-date with the latest AWS services and data engineering best practices to continuously enhance our data infrastructure.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as a Big Data Engineer with a strong focus on AWS services and technologies.
- Proficiency in designing and implementing data pipelines using AWS tools such as Glue, EMR, S3, Lambda, and Redshift.
- Strong programming skills in languages such as Python, Java, or Scala for data processing and ETL tasks.
- Solid understanding of data modelling, database design, and data warehousing concepts.
- Experience with real-time data streaming technologies (Kinesis, Kafka) is a plus.
- AWS certification(s) in relevant domains is highly desirable.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
- Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.
Reperio Human Capital acts as an Employment Agency and an Employment Business.