Job Description
The IT organization at Omnissa is looking for a Data Engineer who is excited about redefining, reimagining, and contributing towards building a modern data infrastructure. We believe data engineering is about harnessing the power of data, built on a solid foundation of software engineering, data modeling, devops skills & analytics. At Omnissa, we are committed to helping our people grow professionally. Our talented employees exemplify our shared values and continue to drive our company to new heights.
Job Role and Responsibility
- As a Data Engineer, you will build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient.
- Develop customer-focused data solutions that create meaningful business impact.
- Design solutions with strategic and long-term focus on code quality, reliability, reusability, maintainability and dataops.
- Build efficient and scalable data services.
Required Skills
- Build data solutions on the AWS Cloud - Spark, Python, AWS Data Services (EMR, Lambda, S3).
- Perform data analysis using Python, complex SQLs, and other tools.
- You should have a minimum of 4 years of work experience in the data engineering space.
- Work closely with Product Managers Owners to understand the business requirements and convert them into technical stories
- Hands-on development work on all aspects of data analysis, data provisioning, modeling, performance tuning, and optimization.
- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics
- Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processes utilizing various technologies such as Spark, Python, Airflow.
- Understanding of any of the data visualizations & reporting tools like Tableau is good to have.
- Perform root cause analysis of issues that hinder the data quality. Work with data source owner to increase quality and accuracy of the source data.
- Understand and influence best practices for observability & dataops.
- Collaborate with engineers to drive best practices in code quality & reusability, data integrity, test design, analysis, validation, and documentation
- Experienced with various patterns of data ingestion, processing, and curation.
- You understand criticality of data quality, security & governance practices and are adept at it.
