Infosys Limited is seeking a GCP certified Big Data Engineer to enable digital transformation for their clients in a global delivery model.
Requirements
- Good expertise in Spark, Python, Scala, SQL databases, and type-safe functional programming.
- Experience working with technologies like – GCP with data engineering – data flow / air flow, pub sub/kafka, data proc/Hadoop, Big Query.
- ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka
- Strong knowledge and hands-on experience in Python and SQL.
- Knowledge on CICD pipeline using Terraform in Git.
- Good knowledge on Google Big Query, using advance SQL programing techniques to build Big Query Data sets in Ingestion and Transformation layer.
- Apache Spark, Dataproc, BigQuery, Snowflake
Responsibilities
- research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards.
- interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle.
- ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka
- Strong knowledge on Python Program development to build reusable frameworks, enhance existing frameworks.
- Good experience in end-to-end implementation of data warehouse and data marts.
- Knowledge on CICD pipeline using Terraform in Git.
- Knowledge on Airflow Dag creation, execution, and monitoring.
Other
- Candidate must be located within commuting distance of Bentonville, Arkansas or be willing to relocate to the area.
- This position may require travel in the US.
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
- The job may also entail sitting as well as working at a computer for extended periods of time.
