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Data Engineer - Data Warehouse, BigData, Python and SQL

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Job Description - Data Engineer - Data Warehouse, BigData, Python and SQL


Job Summary 
We are seeking a skilled Data Engineer to join our team and contribute to designing, developing, and managing data solutions, including pipelines and data warehouses. The ideal candidate will handle high-volume data processing, integrate complex data structures, and optimize data storage solutions. You will ensure data reliability, quality, and compliance while collaborating on analytics and business intelligence projects in a diverse technological environment. 

Must-Have Skillsets (Mandatory)
- Expertise in Advanced SQL, PLSQL, and handling bulk data processing. 
- Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres. 
- Experience in data modeling, including Star/Dimensional modeling. 
- Knowledge of Data Warehouse development and ETL processes. 
- Experience with structured and semi-structured data ingestion. 
- Familiarity with big data platforms and technologies such as Hadoop, Scala, Spark, Hive, Shell Scripting, and AWS tools like EMR, Lambda, Glue, and Step Function. 
- Strong problem-solving, debugging, and performance-tuning skills. 
- Ability to design and optimize data storage and manage data governance principles. 

Good-to-Have Skillsets (Optional)
- Hands-on experience with Hadoop/Big Data environments. 
- Experience with streaming data platforms like Kafka or Flume. 
- Knowledge of data analytics and business intelligence solutions. 
- Proficiency in tools for data integration and orchestration like Sqoop. 

Qualifications and Experience
- Bachelor's degree in Computer Science, Information Technology, or a related field. 
- Minimum of [insert years, e.g., 4+ years] experience in database and enterprise data warehouse development. 
- Proven track record of developing and managing complex data pipelines and integrating diverse data sources. 
- Strong analytical and numerical skills with attention to detail. 

This role is ideal for a dynamic professional eager to innovate in a data-driven environment and contribute to transformative projects.



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