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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 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
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
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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)
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 Fluent in English (spoken and written)
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 Fluent in English (spoken and written)
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)
Data Analyst
proper data integration with client systems Required Qualifications Bachelor's degree in Statistics, Computer Science, Data Science, or a related field 1-3 years of experience in data and analytics Proficiency in data analysis tools such as Excel, SQL..., and Python Experience with database management and API integration Understanding of statistical analysis methods and techniques
Product Owner - P&C Insurance
Bachelor's degree or higher in a technical field such as engineering, mathematics, or data science 2+ years of experience in product management, product development, or innovation management Proficiency with data analysis and visualization tools such as Python..., SQL, and Excel Experience managing cross-functional initiatives and coordinating stakeholders Comfortable navigating ambiguous problems and developing practical solutions
Data Engineer
integrity, lineage, and governance across systems Required Qualifications Bachelor's or Master's degree in Computer Science, Finance, or related field 5-7 years of experience in data engineering, preferably in financial services Strong proficiency in Python..., SQL, and data modeling Hands-on experience with cloud platforms (AWS, Azure, or GCP) Experience with Kafka, Spark, Airflow, or similar tools for data orchestration
