of Python Data Engineer

Overview

Title : Python Data Engineer

Competency – Digital Python

Responsibilities

• Must Have - 5+ years of hands-on development experience in Python as ETL / ELT Data Engineer and Data warehousing. Snowflake / AWS environment is preferable.
• Must Have - Hands-on coding experience in PySpark, Python Data Frame, structured and semi structured data processing, scripting, error handling, data ingestion and building data pipelines
• Must Have - Expertise and hands-on experience in ELT using SQL, Stored Procedure,
• Must Have – Proficiency in complex SQL, performance tuning and troubleshooting.
• Must Have - Strong communication skills – ability to articulate concepts clearly
• Nice to Have - Working knowledge in Scheduling Jobs preferably in Control M or Autosys or Airflow
• Nice to Have - Should have development experience in Snowflake Cloud Data Warehouse on AWS Data Lake, writing SNOW SQL, Stored Procedure , Snowpark, task / Stream for ETL transformation
• Nice to Have - Experience with implementing data quality checks and error handling in data pipeline
• Nice to Have – SnowPro Core Certification

Qualifications

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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