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. 

- 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. 

- 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. 

- 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.