
Data Solutions Architect
1 week ago
We are seeking a skilled Data Engineer to contribute to designing, developing, and managing data solutions in our diverse technological environment. The ideal candidate will handle high-volume data processing, integrate complex data structures, and optimize data storage solutions.
Key Responsibilities:
- Design and develop data pipelines and warehouses using Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres.
- Develop expertise in Advanced SQL, PLSQL, and handling bulk data processing.
- Collaborate on analytics and business intelligence projects with strong problem-solving, debugging, and performance-tuning skills.
Requirements:Must-Have Skillsets (Mandatory)
- Expertise in database development and ETL processes.
- Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres.
- 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 analytical and numerical skills with attention to detail.
- 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.
Qualifications and Experience:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of [insert years] experience in database and enterprise data warehouse development.
- Proven track record of developing and managing complex data pipelines and integrating diverse data sources.
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