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Senior Data Engineer
Key Responsibilities Design, build, test, and implement scalable data pipelines using Python and SQL Maintain and optimize the performance of the Snowflake data warehouse Extract data from APIs using Python and AWS Lambda, and automate workflows with
Senior Data Engineer Consultant
Python, R, SQL) Expert-level skills in Talend (or similar) and data visualization platforms (e.g. Qlik, Tableau, Power BI) Strong statistical analysis and predictive modeling capabilities
Senior Staff Data Engineer
analytics needs Required Qualifications MS degree in Computer Science, Information Technology, or a related field; Ph.D. is a plus 12+ years of experience in building enterprise data engineering solutions Proficiency in programming languages such as Python..., R, SQL, and Java Expertise in data engineering with a focus on data streaming and data pipelines Experience with cloud platforms and containerization tools like Kubernetes
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Senior Data Engineer
pipelines using Airflow Experience with cloud-based data warehousing solutions, particularly Amazon Redshift Proficient in writing complex SQL queries and understanding SQL optimization Experience with data transformation using technologies like Python..., DLT, SQL, DuckDB, and DBT Advanced knowledge of Modern Data Warehouse concepts and Big Data Modeling
Reservoir Engineer
Required Qualifications At least 4+ years of experience in Oil and Gas engineering, specifically in reservoir engineering Bachelor's Degree in chemical, civil, electrical, mechanical, or petroleum engineering Strong coding experience in R/RStudio, Python..., Azure Databricks, SQL, Spotfire, Power BI, and Alteryx Solid understanding of unconventional petroleum engineering fundamentals Knowledge of basic engineering concepts and ability to think analytically
Senior Data Engineer
reliability Collaborate with engineering and product teams to align data solutions with business objectives Required Qualifications, Training, and Education 5+ years of experience as a Data Engineer with cloud-based data solutions Strong proficiency in SQL...and Python for data transformation and automation Expertise in data modeling, warehousing concepts, and big data architectures Hands-on experience with ETL/ELT pipeline development and orchestration tools Familiarity with Infrastructure as Code (IaC
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