Hello All,
I have an exciting opportunity with one of our client in Nashville, TN looking for AWS Data Engineer. Please share resume to Ranjith.dandabathini@sstech.us
Position: AWS Data Engineer
Location: Nashville, TN
Duration: 12 Months+
Client: Apex Systems Inc. / Envision
Cloud Data Engineer
The Data Engineer modernizes and scales data delivery platforms by designing, structuring, and transforming datasets as well as building data pipelines to support various entities business objectives.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud ‘big data’ technologies.
- Build and optimize ‘big data’ data pipelines, data sets, data transformation, data structures, metadata, and dependency and workload management.
- Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Manage ETL processes, build datasets for analysis, and implement quality monitoring.
- Build pipelines to transfer data between teams with the organization.
- Develop a well-maintained code base, leveraging object-oriented design patterns.
Required Skills:
1. Big data/AWS experience – 4+ years
2. Experience working in a cloud environment that’s being built (someone that’s worked in an established environment won’t be able to hit the ground running)
Education/Experience:
· Bachelor’s degree in Information Technology, Management Information Systems or Computer Science from an accredited university or college.
· Minimum five (5) years of cloud and big data technologies work experience.
· Healthcare experience preferred.
· Agile scrum development experience.
Computer Skills:
· Knowledge and experience with the following:
- New and emerging data and analytics technologies (i.e. Hadoop, Spark, Elastic, AWS, etc.)
- Cloud platforms such as AWS, Azure, or Google Cloud
- Big data tools: Hadoop, Spark, Kafka, etc.
- Relational SQL and NoSQL databases, including Postgres and Cassandra
- AWS cloud services: EC2, EMR, RDS, Redshift
- Stream-processing systems: Storm, Spark-Streaming, etc.
- Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Message queuing, stream processing, and highly scalable ‘big data’ data store
Notes:
This will be a long-term rolling contract and a chance to play a vital role in setting up a cloud infrastructure while establishing best practices enterprise wide.
1. Long-term opportunity
2. Chance to work in a brand new environment where they will be building in the cloud from scratch
Regards,
Ranjith Dandabathini
E: Ranjith.dandabathini@sstech.us
D: 727-228-3200*474