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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
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)
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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 Fluent in English (spoken and written)
Mid-Level Data Engineer
complex datasets Collaborate with cross-functional teams to support enterprise data needs Required Qualifications 3+ years of experience in data engineering Hands-on experience with Snowflake, including data modeling and performance tuning Advanced Python...and SQL skills Experience with AWS and modern data stack tools (e.g., dbt, Airflow, Fivetran) Proven experience building ETL/ELT pipelines from scratch
Mid-Level Data Engineer
complex datasets Collaborate with cross-functional teams to support enterprise data needs Required Qualifications 3+ years of experience in data engineering Hands-on experience with Snowflake, including data modeling and performance tuning Advanced Python...and SQL skills Experience with AWS and modern data stack tools (e.g., dbt, Airflow, Fivetran) Proven experience building ETL/ELT pipelines from scratch
Senior Data Engineer
datasets Collaborate with cross-functional teams to support enterprise data needs Required Qualifications 7+ years of experience in data engineering Strong hands-on experience with Snowflake, including data modeling and performance tuning Advanced Python...and SQL skills Experience with AWS and modern data stack tools (e.g., dbt, Airflow, Fivetran) Proven experience building ETL/ELT pipelines from scratch
Senior Data Engineer
datasets Collaborate with cross-functional teams to support enterprise data needs Required Qualifications 7+ years of experience in data engineering Strong hands-on experience with Snowflake, including data modeling and performance tuning Advanced Python...and SQL skills Experience with AWS and modern data stack tools (e.g., dbt, Airflow, Fivetran) Proven experience building ETL/ELT pipelines from scratch
Senior Data Engineer
Engineering, Computer Science, Mathematics, or related field 7+ years of experience in Data or Analytics Engineering Expert in SQL and data modeling, with experience in data warehouse design Experience with AWS and cloud data technologies Proficient in Python...and Unix/Linux scripting
Bioinformatics Scientist II
medicine applications Required Qualifications Ph.D. in Mathematics, Bioinformatics, Computational Biology, or a related field Strong experience in machine learning and AI, particularly in deep learning for biomedical applications Proficient in Python...and SQL, with experience in ML frameworks and code versioning Familiarity with genetic variant standards and clinical data ontologies Demonstrated success in applying AI/ML to biomedical datasets
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