Senior Data Engineer
2 weeks ago
They are seeking a skilled Senior Data Engineer to design, develop, and optimise their data infrastructure.
The successful candidate will play a crucial role in building robust data pipelines, enhancing data quality, and ensuring seamless data integration across the organisation.
You will have a significant role to play in developing ETL/ELT processes to ingest and transform data from multiple sources.
Requirements: 5+ years of experience in data engineering or a related field.
Strong proficiency in SQL and experience with relational and non-relational databases (e.g., Postgre SQL, My SQL, Mongo DB).
Hands-on experience with big data technologies such as Spark, Hadoop, or Snowflake.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with cloud platforms (AWS, Azure, GCP) and cloud-based data solutions (e.g., Redshift, Big Query, Databricks).
Expertise in ETL/ELT tools and data pipeline orchestration (e.g., Airflow, Apache Ni Fi).
Knowledge of containerization and Dev Ops practices (Docker, Kubernetes, CI/CD).
Familiarity with real-time data streaming technologies (Kafka, Kinesis, Flink) is a plus.
Benefits Pension Healthcare Bonus Flexible hybrid working model If this role as a Senior Data Engineer interests and suits you, then apply using the link below.
If you require any further information, get in touch with Jamie Sadlier at Reperio.
Reperio Human Capital acts as an Employment Agency and an Employment Business.
Skills: Senior Data Engineer ETL Cloud SQL Dublin Hybrid Benefits: Work From Home
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