Overview
Skills
Job Details
About the Role
Key Responsibilities
Design, develop, and implement advanced data solutions and pipelines.
Work extensively with Python, SQL, Databricks, Spark, and big data technologies.
Perform data manipulation, analysis, and visualization using Pandas, NumPy, Jupyter.
Ensure data quality through monitoring and metrics (e.g., month-over-month trends).
Collaborate with cross-functional teams and participate in Agile development.
Work with both structured and unstructured datasets to derive insights.
Requirements
10+ years of experience in Data Engineering.
Strong proficiency in Python, SQL, Databricks, Spark.
Experience with data analytics tools/frameworks (Pandas, NumPy, Jupyter).
Bachelor s degree in Computer Science, IT, or related field.
Excellent problem-solving, analytical, and communication skills.
Experience in healthcare data is highly preferred.
Relevant certifications are a plus
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