Senior Data Engineer

Posted 3 months agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 100000.0 - 120000.0 USD per year

🔍 Industry: Healthcare

🏢 Company: Found👥 51-100💰 $45,999,997 Series C 10 months agoFinancial Services Banking FinTech

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLApache AirflowETLSnowflakePandasSpark

Requirements:

5+ years of experience in data engineering or related areas. You are an end-to-end data engineer whose experience goes beyond creating ETL pipelines.
Expertise in SQL and data manipulation languages.
Proficiency in data pipeline tools (Airflow, AWS Glue, Spark/PySpark, Pandas).
Strong programming skills in Python.
Experience with data storage technologies like warehouses (Snowflake, Redshift) and data lakes (Databricks, Glue Catalog/S3).

Responsibilities:

Design, implement, and manage robust and scalable data pipelines to ingest, process, and transform data from various sources.
Develop and maintain data models to support business intelligence, reporting, and analytics needs.
Design and implement data warehousing solutions to store and organize large volumes of data efficiently.
Develop and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
Implement data quality checks and monitoring processes to maintain data integrity and reliability.
Continuously monitor and optimize data pipelines and queries for performance and scalability.
Work closely with data analysts and other stakeholders to understand their data needs and provide solutions.
Create and maintain clear and comprehensive documentation of data architecture, processes, and data dictionaries.

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