Job Description

Role: ETL Python Developer 10+ Needed

Location: Charlotte, NC (Day 1 Hybrid 3 days office in a week)Locals Only

No OPT, CPT, H1B

Job Description:

We are looking for a highly experienced ETL Python Developer with over 10+ years of expertise in designing, developing, and maintaining robust data pipelines and ETL workflows. The ideal candidate will have a strong background in Python programming, data integration, and processing large-scale datasets to support analytics and business intelligence initiatives.

Key Responsibilities:

• Design, develop, and optimize scalable ETL processes and data pipelines using Python.
• Build robust data workflows for extracting, transforming, and loading data from various sources to data warehouses or lakes.
• Collaborate with data analysts, data engineers, and stakeholders to understand data requirements.
• Implement data quality checks and validation mechanisms within ETL workflows.
• Automate data ingestion, transformation, and reporting processes for efficiency and accuracy.
• Monitor, troubleshoot, and optimize existing ETL processes for performance and reliability.
• Maintain documentation of ETL processes, data flow diagrams, and technical specifications.
• Adhere to best practices for coding, version control, and deployment.

Required Skills & Experience:

• 8- 10+ years of professional experience in Python development, with a focus on ETL/data integration.
• Strong proficiency in Python, including libraries such as Pandas, NumPy, PySpark, or similar.
• Hands-on experience with building and maintaining large-scale ETL workflows.
• Familiarity with data warehousing solutions (e.g., Amazon Redshift, Snowflake, Teradata, etc.).
• Experience working with databases (SQL and NoSQL), including complex querying and data modeling.
• Knowledge of cloud platforms (AWS, Azure, GCP) and cloud data services is a plus.
• Experience with workflow orchestration tools such as Apache Airflow, Luigi, or similar.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Preferred Qualifications:

• Experience with big data technologies (Spark, Hadoop) is advantageous.
• Familiarity with DevOps practices for deploying and scheduling ETL jobs.
• Knowledge of data governance and security best practices.

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