Senior Data Engineer (AWS, Azure, GCP)
Core
Design, implement, and maintain modern data pipelines and distributed systems for cloud-based data extraction, ingestion, and processing to enable decision-making.
Role type
Senior Cloud Data Engineer (Consulting)
Builds
Highly available distributed data systems, modern data pipelines, cloud data warehousing, and data lake solutions.
Domain
Cloud Data Engineering, Big Data, Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud platform expertise (AWS, Azure, GCP), ETL/Data Orchestration, SQL/NoSQL databases, Programming languages (Python, Java, etc.), DevOps tools, Big data/streaming concepts, Technical leadership
Preferred skills
Cloud certification
Technologies
AWS, Azure, GCP, Snowflake, Redshift, Databricks, Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion, PostgreSQL, MySQL, SQL Server, Oracle, Aurora, Presto, BigQuery, Python, Java, R, C/C++, Shell, Git, Jenkins, Jira
Responsibilities
Act as a trusted advisor to customers on data engineering best practices; Design and implement scalable data pipelines; Partner with product owners to analyze requirements; Provide technical leadership and mentor engineers; Stay current with cloud technologies and share knowledge.
Seniority
Senior, hands-on IC with leadership responsibilities
