Junior Data Engineer Data Engineer Portfolio Companies Sitecore
Junior Data Engineer Data Engineer Portfolio Companies Sitecore
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Job Description
About Sitecore:
Sitecore delivers a composable digital experience platform that empowers the worlds smartest and largest brands to build lifelong relationships with their customers. A highly decorated industry leader Sitecore is the leading company bringing together content commerce and data into one connected platform that delivers millions of digital experiences every day. Thousands of bluechip companies including American Express Porsche Starbucks LOral and Volvo Cars rely on Sitecore to provide more engaging personalized experiences for their customers.
About the position:
We are looking for a Junior/MidLevel Data Engineer to join Sitecores Data Platform group. In this position you will work in a small dynamic team to build data infrastructure and manage the overall data pipeline. You will be responsible for expanding and optimizing data and data pipeline architecture as well as optimizing dataflow and collection of data from cross functional teams.
Responsibilities
- Design develop and maintain a generic ingestion framework capable of processing various types of data (structured semistructured unstructured) from customer sources.
- Implement and optimize ETL (Extract Transform Load) pipelines to ensure data integrity quality and reliability as it flows into the centralized datastore like Elasticsearch.
- Ensure the ingestion framework is scalable secure efficient and capable of handling large volumes of data in realtime or batch processes.
- Continuously monitor and enhance the data ingestion process to improve performance reduce latency and handle new data sources and formats.
- Develop automated testing and monitoring tools to ensure the framework operates smoothly and can quickly adapt to changes in data sources or requirements.
- Provide documentation support and training to other team members and stakeholders on using the ingestion framework.
- Implement largescale near realtime streaming data processing pipelines.
- Design support and continuously enhance the project code base continuous integration pipeline etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
- Perform POCs and evaluate different technologies and continue to improve the overall architecture.
Qualifications :
Qualifications
- 624 months experience building and optimizing Big Data data pipelines architectures and data sets.
- Experience in Elasticsearch its architecture and optimal querying of data.
- Strong analytic skills related to working with unstructured datasets.
- Experience supporting and working with crossfunctional teams in a dynamic environment.
- Working knowledge of message queuing stream processing and highly scalable big data data systems.
- Experience contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems.
- Candidates must have 624 months of experience in a Data Engineer role with a Bachelors or Masters Degree in Computer Science or Information Systems or equivalent field. Candidate should have knowledge of using following technologies/tools:
- Experience working on Big Data processing systems like Hadoop Spark Spark Streaming or Flink Streaming.
- Experience with SQL systems like Snowflake or Redshift
- Experience in two or more of these integration technologies; Java/Python React Golang SQL NoSQL (Mongo) Restful API.
- Versed in Agile APIs Microservices Containerization etc.
- Experience with CI/CD pipeline running on GitHub Jenkins Docker EKS.
- Knowledge of at least one distributed datastores like MongoDb DynamoDB HBase.
- Experience using batch scheduling frameworks like Airflow (preferred) Luigi Azkaban etc is a plus.
- Experience with AWS cloud services: EC2 S3 DynamoDB Elasticsearch
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
