Staff Data Engineer

Requirements:

• At least 7 years of data engineering experience developing large data pipelines.
• Strong hands-on Experience with Cloud technologies like AWS (S3 EMR, EC2) and building data pipelines.
• Strong algorithmic problem-solving expertise.
• Strong SQL skills and ability to create queries to extract data, build performant datasets and perform Data Analysis.
• Strong Hands-on experience with distributed systems such as Spark/PySpark to query and process data.
• Strong fundamental Python programming skills.
• Solid experience with data integration toolsets (i. e Airflow) and writing and maintaining Data Pipelines with Databricks.
• Demonstrated competency in data modelling and analysis techniques.
• Strong attention to detail and excellent analytical skills.
• Verbal and written communication skills and ability to collaborate with others effectively.

Preferred Qualifications:

• Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, BigQuery).
• Experience in Data Modeling techniques and Data Warehousing standard methodologies and practices.
• Experience with Software Application development.
• Good data acumen to understand domain /functional knowledge and to be able to articulate analysis of data points in a business context for stakeholders.
• Demonstrated excellent interpersonal skills and communication skills, including the ability to partner with others and build consensus in a cross-functional team toward a desired outcome.
• Experience working with a test-first mentality.
• Deep Understanding of AWS or other cloud providers, as well as infrastructure as code.
• Familiar with Scrum and Agile methodologies.
• Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics.
• Engineering, or a comparable field of study, and/or equivalent work experience.