Data Engineer

We are seeking a Data Engineer to build and optimize data ingestion pipelines and cloud-based analytics infrastructure. The role ensures reliable data flow for reporting and insights across the organization. Candidates should have hands‑on experience with AWS or Azure data platforms and collaborate closely with application owners, analysts, and data scientists to maintain scalable data delivery. This position requires a self‑directed individual capable of supporting diverse data needs across multiple teams and systems.

Job Responsibilities:

• Develop and manage efficient, scalable data pipeline architectures.
• Build large and complex data sets aligned with business needs.
• Design and implement data ingestion processes, automate workflows where possible, and enhance data delivery and infrastructure scalability.
• Create and maintain the systems needed for extracting, transforming, and loading data from diverse sources using SQL and AWS big-data technologies.
• Collaborate with cross‑functional teams to troubleshoot ingestion issues, support data infrastructure requirements, ensure data security across regions, and enhance overall data system capabilities.

Job Requirements:

• 2+ years of Data Engineering experience

Preferred Qualifications:

• Cloud & Warehousing: Snowflake (Snowpark, Snowpipe, ELT, Admin) and AWS (Glue, Lambda, Secrets Manager, S3, Athena, EC2, EMR, RDS, Redshift)
• Big Data & Streaming: Hadoop, Spark, Kafka, and Change Data Capture (e.g., GlueSync)
• Programming Languages: Python, PySpark, Java, C++, Scala, or R
• Databases: Relational and NoSQL databases (e.g., MySQL, Postgres)
• Analysis: Conducting root cause analysis on data and processes to answer business questions and drive improvements