
Building Scalable Data Platforms
5 days ago
Data Architect
Job Description:We are seeking a highly skilled Data Engineer to join our team, responsible for building and optimizing scalable data pipelines and platforms that power analytics, automation, and decision-making.
The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
You will work with large-scale structured and unstructured datasets, leveraging both relational and non-relational data stores to deliver reliable, high-performance data solutions.
- Design secure, efficient, and resilient data architectures
- Work with large-scale structured and unstructured datasets
- Leverage relational and non-relational data stores
Key Responsibilities:
ScopeThe Data Engineer will be part of our Accounting and Data Analytics team, building and maintaining data platform for sourcing, merging and transforming financial datasets to extract business insights, improve controllership and support financial month-end close periods.
Qualifications- 7+ years experience as Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Extensive experience working with AWS with a strong understanding of Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Lambda, S3, EC2, etc.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as Hadoop, Hive, Spark, EMR
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