Senior Data Engineer (Remote)

Posted 4 months agoViewed

📍 Location: United States

💸 Salary: 141000 - 174000 USD per year

🔍 Industry: Catering technology

🏢 Company: ezCater, Inc

🗣️ Languages: English

🪄 Skills: AWSPythonSQLETLSnowflakeCI/CD

Strong experience with data warehousing, data lakes, and ELT processes across enterprise platforms like Snowflake, Redshift, or BigQuery.
Proficient in building performant data pipelines across disparate systems.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Expertise in SQL and experience with Python.
Ability to work both independently and collaboratively.
Willingness to adapt to a large and complex business landscape.
Experience with technologies such as Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes, Docker, and Python for ETL and data science is advantageous.

Write and ship code mainly using dbt (SQL, Jinja).
Collaborate closely with analysts and stakeholders to refine requirements and debug data sets.
Design and develop high-performance data pipelines while adhering to software development lifecycle best practices.
Identify optimization opportunities within the existing data stack.
Utilize automation to enhance developer efficiency.
Monitor data systems for quality and availability while aiming to reduce costs.
Contribute to team processes and community, and mentor other Data Engineers.

Posted 3 months ago

📍 Paris, New York, San Francisco, Sydney, Madrid, London, Berlin

🔍 Communication technology

🔧 Requirements

💡 Responsibilities

Play a crucial role in designing, developing, and maintaining data infrastructure.
Collaborate with teams across the company to solve complex challenges.
Improve operational efficiency and lead business towards strategic goals.
Contribute to engineering efforts that enhance customer journey.

AWSPostgreSQLPythonSQLApache AirflowETLData engineering

Posted 3 months ago

Posted 3 months ago

📍 ANY STATE

🔍 Data and technology

🔧 Requirements

5+ years of experience making contributions in the form of code.
Experience with algorithms and data structures and knowing when to apply them.
Experience with machine learning techniques to develop better predictive and clustering models.
Experience working with high-scale systems.
Experience creating powerful machine learning tools for experimentation and productionalization at scale.
Experience in data engineering and warehousing to develop ingestion engines, ETL pipelines, and organizing data for consumption.

💡 Responsibilities

Be a senior member of the team by contributing to the architecture, design, and implementation of EMS systems.
Mentor junior engineers and promote their growth.
Lead technical projects and manage planning, execution, and success of complex technical projects.
Collaborate with other engineering, product, and data science teams to ensure optimal product development.

PythonSQLETLGCPKubeflowMachine LearningAlgorithmsData engineeringData scienceData StructuresTensorflowCollaborationScala

Posted 3 months ago