Note: The job is a remote job and is open to candidates in USA. Applicantz is seeking experienced data engineers to support its engineering organization. The role focuses on designing, developing, testing, deploying, and operationalizing analytics-ready data models and data pipelines, including batch and streaming workflows, data quality controls, production troubleshooting, and documentation.
Responsibilities
- Design logical and physical data models
- Develop analytics-ready Tier-2 data models using dimensional modeling and star-schema principles where appropriate
- Define facts, dimensions, relationships, measures, and transformations
- Develop ingestion, transformation, and orchestration pipelines
- Implement batch and streaming data-processing workflows
- Support data replication and historical backfills
- Develop data-quality controls and validation logic
- Perform unit, integration, regression, and data-quality testing
- Reconcile source and target datasets
- Prepare production-ready code, configuration, and models
- Participate in code reviews and approved release processes
- Support production deployment and post-deployment validation
- Troubleshoot defects and perform root-cause analysis
- Create technical documentation, release notes, and operational materials
- Participate in daily stand-ups, design reviews, demonstrations, and knowledge-transfer activities
Skills
- Five or more years of professional data engineering or distributed-systems experience
- Strong production experience with batch and streaming data architectures
- Experience building and maintaining production data pipelines
- Experience with dimensional data modeling and star-schema design
- Strong programming skills using Python, Java, and SQL
- Experience with data quality, automated testing, and production troubleshooting
- Experience with source control, CI/CD, code reviews, and agile engineering practices
- Ability to work effectively within a distributed global engineering team
- Apache Iceberg, Apache Airflow, Apache Spark, Apache Kafka, Apache Flink, Snowflake, Java and Python, Amazon Web Services, SQL and data modeling
Benefits
- Remote work for three months to begin
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