Python, ETL Developer_Truist

About the Role

As a Python, ETL Developer at Infosys, you will be responsible for designing, developing, and optimizing data pipelines using Python and ETL tools. This involves working with big data, SQL, and analytics to move and transform data across systems with accuracy and efficiency. Your primary focus will be on ensuring data quality, integrity, and security throughout the data pipeline.

Key Responsibilities

• Design and develop data pipelines using Python and ETL tools to extract, transform, and load data from various sources.
• Work with big data technologies to process and analyze large datasets.
• Develop and maintain SQL queries to extract and manipulate data from relational databases.
• Collaborate with cross-functional teams to identify data requirements and implement data solutions.
• Optimize data pipelines to improve performance, scalability, and reliability.
• Ensure data quality, integrity, and security throughout the data pipeline.
• Stay up-to-date with industry trends and emerging technologies in data engineering and analytics.

Skills & Qualifications

• Strong proficiency in Python programming language.
• Experience with ETL tools such as Informatica, Talend, or AWS Glue.
• Knowledge of big data technologies such as Hadoop, Spark, or NoSQL databases.
• Proficiency in SQL and ability to develop complex queries.
• Bachelor's degree in Computer Science, Information Technology, or related field.
• Relevant certifications such as Certified Data Engineer or Certified Analytics Professional.
• Good understanding of data modeling, data warehousing, and data governance.

What You'll Learn

In this role, you will gain hands-on experience with Python, ETL tools, and big data technologies. You will learn to design, develop, and optimize data pipelines, ensuring data quality, integrity, and security. This role will also provide opportunities to work with cross-functional teams, collaborate with stakeholders, and stay up-to-date with industry trends and emerging technologies.

Resume Tip

When applying for this role, make sure to highlight your experience with Python, ETL tools, and big data technologies. Include specific examples of data pipelines you have designed and developed, and the challenges you overcame. Also, be sure to mention any relevant certifications or training programs you have completed.