. Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications More ❯
. Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications More ❯
. Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications More ❯
can do in person with client) Duration: 12 Months Required Skills:Programming Languages: Strong proficiency in Python, Java, and SQL. Big Data Frameworks: Deep understanding of Hadoop ecosystem (HDFS, MapReduce, Hive, Spark Cloud Data Warehousing: Expertise in Snowflake architecture, data manipulation, and query optimization. Data Engineering Concepts: Knowledge of data ingestion, transformation, data quality checks, and data security practices. Data More ❯
including MySQL and NoSQL Database; (6) Query processing and optimization; (7) Object Oriented Design (OOD) and Object Oriented Programming (OOP); (8) Statistical Analysis; (9) Multithreading and Programming Concurrency; (10) MapReduce and Spark. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted. Salary: $182,384.16 - $244,872.00 per annum. Submit a resume to Job via More ❯
learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and JavaScript , with experience using Git or other version control systems . Ability to drive projects independently and collaboratively, demonstrating a strong work More ❯
