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Senior Level Remote Python Data Jobs
Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 7+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 3+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 3+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
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Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 3+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 7+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
Analytics Engineer
accessibility Required Qualifications 3+ years of experience in a data role (Analytics Engineer, Data Engineer, or Full Stack Data Scientist) Strong experience with SQL and data modeling Hands-on experience with dbt and ETL/ELT frameworks Proficiency in Python...for data transformations and workflow orchestration Experience designing and optimizing data warehouses, particularly in BigQuery
Senior Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 7+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines Fluent in English (spoken and written)
Senior Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 7+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines Fluent in English (spoken and written)
Senior Data Engineer
applications Implement data quality checks and validation processes to ensure accuracy of financial data Required Qualifications 7+ years of experience as a Data Engineer, with at least 2 years in the Databricks ecosystem Strong proficiency in Python..., including data science libraries like Pandas Proven experience with AWS cloud services and data architecture Experience with DBT for data transformation and documentation Familiarity with Apache Airflow for workflow orchestration
Senior Analytics Analyst
questions Required Qualifications Bachelor's degree in Statistics, Economics, Marketing, or a related field; advanced degree is a plus 3+ years of experience in data analysis within a marketing or digital advertising context Proficiency in SQL, Python..., R, and data visualization tools (Tableau, Looker, Power BI) Strong understanding of digital marketing performance metrics Proven ability to manage multiple projects in a fast-paced environment
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