Data Engineer
at Cognizant Technology Solutions
United States, North Carolina, USA -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 12 Jun, 2024 | USD 73000 Annual | 15 Mar, 2024 | 3 year(s) or above | R,Interpersonal Skills,Aws,Hive,Sas,Open Source,Hbase,Flume,Oracle,Java,Sqoop,Life Sciences,Python,Tableau,Financial Services,Data Engineering,Retail,Data Models,Sql,Snowflake,Data Analytics | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
POSITION OVERVIEW
A Data Engineer in Cognizant’s AIA (AI & Analytics) practice brings relevant context to data for business and IT for intelligent systems and critical decisions. They work within the domains of data management, to integrate high-variation and/or high-velocity data to produce answers and enable clients to ask an entirely new class of questions. They will use a variety of tools and techniques to deliver better, faster, and intelligent data to some of the world’s most successful businesses – our clients.
BASIC QUALIFICATIONS
- Bachelor’s degree in IT-related field and 0-3 years of IT experience
- Strong business interpersonal skills (including written and oral)
- Programming experience with Python, Python Pyspark or Java development for modern data engineering
- Strong background in relational data models
- Exposure in Data Pipelines & SQL / NoSQL (e.g. Cassandra, HBase) and Relational Database management systems
- Exposure to implementing PaaS services on public clouds - Azure, AWS, GCP, Databricks, Snowflake, SingleStore, Oracle, Informatica
- Strong problem solving and analytical thinking skills
DISTINGUISHING QUALIFICATIONS
- Full Data lifecycle development experience
- Industry experience (financial services, insurance, retail, healthcare, life sciences, communications)
- Experience in developing and deploying distributed computing applications using Open Source or cloud native services.
- Shown understanding of data applications including Hadoop components (HDFS, HBase, Hive, Sqoop, Flume, etc.)
- Exposure to data analytics and data mining tools/applications such as Tableau, QlikSense /QlikView, R or SAS
- Exposure to working with SQL, Relational Database Management Systems (e.g., SQL Server, Oracle)
- Development workflows (e.g., Microsoft VSTS)
- Experience leading teams
Responsibilities:
- Build and deliver data pipelines to store data in a way that is accessible, performant, secure, and sustainable
- Prototype solutions, prepare test scripts, and conduct tests for data replication, extraction, loading, cleansing, and data modeling for data warehouses
- Review and validate data loaded into data lakes/warehouses for accuracy
- Develop proofs of concept and evaluate design options to deliver ingestion, search, metadata cataloging and scheduling of data pipelines
- Data engineering in line with standard processes and Cognizant’s reference architecture
- Understand and detail technical use case requirements to deliver data movement and transformation solutions
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
It-related field and 0-3 years of it experience
Proficient
1
United States, USA
