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Senior Data Engineer
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We are looking for a Senior Data Engineer with expertise in data engineering, ETL processes, cloud platforms, and data warehousing. You will design, build, and maintain scalable and efficient data pipelines that drive our data operations across multiple environments. The ideal candidate will have hands-on experience with cloud platforms (AWS, Azure), real-time streaming technologies, data quality frameworks, and data warehousing solutions (Redshift, Snowflake, etc.). You will work collaboratively with data scientists, analysts, and cross-functional teams to ensure the smooth flow of data across the organization.
Required Skills and Qualifications:
- 8+ years of experience in data engineering and hands-on ETL development.
- Proficiency in Python, SQL, Java, Scala, Bash, and PowerShell.
- Strong experience with data orchestration and scheduling tools like Apache Airflow, Azure Data Factory, and CloudWatch Events.
- Expertise in cloud data platforms (AWS, Azure), with hands-on experience in AWS Glue, S3, Lambda, and RDS.
- In-depth knowledge of data warehousing (e.g., Amazon Redshift, Snowflake, Azure SQL, PostgreSQL).
- Experience with real-time data streaming technologies, including Apache Kafka, AWS Kinesis, and Kinesis Firehose.
- Familiarity with data quality tools like Great Expectations and PyTest.
- Strong experience with BI and data visualization tools (e.g., Power BI, Tableau, SSRS, Power Query).
- Solid understanding of data modeling, incremental loading, data partitioning, and query optimization.
- Strong spoken English skils.
Why Join Us?
- Collaborative culture focused on innovation and growth.
- Work with cutting-edge technologies and gain hands-on experience with modern data platforms.
- Remote-first environment with flexibility to work from anywhere.
- Competitive compensation and benefits package.
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Mobile
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Nathan Luke Hunter
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IT
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UK
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English
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Details
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