
Data Engineer, AWS OpenSearch
Overview
Build and own the data infrastructure that powers real-time search across the organization. In this role, you will design and maintain scalable data pipelines and OpenSearch clusters that process millions of records daily. You will join a collaborative data team within Incedo Inc, working from Fort Mill, SC in a hybrid setup. This position offers a chance to influence cloud architecture decisions and shape the future of our data platform with AWS services.
What You'll Do8
- 1Design and build data pipelines to feed OpenSearch clusters, ensuring low-latency indexing and search performance.
- 2Develop Python-based ETL jobs to ingest data from RDS, S3, and Kafka into OpenSearch.
- 3Tune OpenSearch mappings, shards, and replicas to optimize query performance.
- 4Build and maintain AWS infrastructure using CloudFormation or Terraform for scalable, reproducible deployments.
- 5Implement monitoring and alerting for pipeline health and data freshness using CloudWatch.
- 6Collaborate with data scientists to define search relevance and indexing strategies.
- 7Write complex SQL queries to validate data quality and support ad-hoc analytics.
- 8Automate deployment of OpenSearch domains across dev, staging, and production environments.
Requirements8
- 15+ years of experience in data engineering, with 3+ years focused on AWS services.
- 2Hands-on experience with AWS OpenSearch (or Elasticsearch) in production environments.
- 3Strong proficiency in Python and SQL for data manipulation and pipeline development.
- 4Experience with streaming data platforms such as Kafka or Kinesis.
- 5Deep understanding of CloudFormation or Terraform for infrastructure-as-code.
- 6Familiarity with OpenSearch performance tuning, cluster sizing, and index strategies.
- 7Ability to design data models for both batch and real-time processing.
- 8Experience working with S3, RDS, and other AWS data services.
Salary Insight
$140 - $160k per year
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