Data engineering with Data pipeline
6 days ago
Key Professional Skills / Characteristics
6+ years of experience in Data engineering and Data pipeline.
Minimum 5 years of experience as a Data Engineer, DevOps Engineer, Software Developer, or similar.
Ability to write clean, structured, and high-performance SQL and Python code.
- Have hands-on experience in Performance tuning, Procedures, Functions, Packages – PL/SQL.
- Strong experience with AWS Redshift, MYSQL, SQL Server, Oracle Database and Data Warehouse technologies.
Experience in AWS S3, Glue, Redshift, Code commit, Data Pipeline.
- Hands on Experience in Apache Airflow for Data pipeline.
Ability to data wrangle unstructured/ semi-structured data to structured data via schemas and query languages like SQL
Expert experience integrating various external data sources via use of API and/or integrations to data warehouses.
- Experience with data visualization tools, preferably POWERBI
Experience in database development, especially AWS Redshift, will be advantageous.
Experience with website tracking, especially E-com would be advantageous.
Proficient in Linux/Unix including bash and shell scripting as well as functional programming languages.
Strong oral and written communication skills.
Strong critical thinking and analytical skills. Excellent communication skills, ability to tailor technical information for different audiences. Excellent teamwork skills, ability to self-start, share insights, ask questions, and report progress.
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