
Senior Data Pipeline Architect
1 day ago
We're looking for a skilled professional to lead the development of scalable data pipelines.
- Design and Implement Efficient ETL Processes
- Collaborate with Data Teams
- Implement Data Governance and Security Standards
- Optimize Data Workflows for Scalability and Performance
To succeed in this role, you'll need:
- Proven experience in Big Data technologies (Hadoop, Spark, Hive, HDFS, Kafka)
- Strong expertise in SQL (query optimization, stored procedures, complex joins)
- Hands-on experience with ETL tools/processes (Informatica, Talend, Apache NiFi, Airflow)
- Deep understanding of Data Warehousing concepts (star schema, snowflake schema, fact/dimension tables)
- Proficiency in programming languages like Python, Java, or Scala
While not required, it's nice to have experience in real-time data streaming (Kafka, Flink, Kinesis), knowledge of containerization & orchestration (Docker, Kubernetes), and familiarity with DevOps practices for CI/CD in data engineering.
What We OfferThis role comes with opportunities for growth and development, as well as a chance to work with a talented team on challenging projects.
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