Python Developer

Requirements:

• 3–5 years of hands-on experience developing data engineering solutions with Python.
• At least 2 years of experience developing and supporting Apache Airflow DAGs in production.
• Experience designing, developing, and supporting data pipelines and automated workflows.
• Experience with S3-compatible or other cloud object storage platforms.
• Experience creating, managing, and troubleshooting Apache Iceberg tables or similar modern table formats.
• Experience connecting to and integrating data from Oracle, SQL Server, Hive, Teradata, PostgreSQL, or comparable enterprise platforms.
• Proficiency in Linux/Unix environments, including shell scripting.
• Experience using source control systems such as Git and collaborative software development practices.
• Understanding of data lakehouse and modern data platform concepts.
• Working knowledge of SQL and database design.
• Understanding of Agile software development.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent written and verbal communication skills.
• Bachelors degree in Computer Science, Engineering, Mathematics, Information Systems, or a related STEM discipline.
• Desired: Experience with Starburst, Trino, or Presto.
• Desired: Familiarity with Hadoop ecosystem technologies, including Hive and HDFS.
• Desired: Experience with CI/CD pipelines and automation tools such as Jenkins, GitHub Actions, Bitbucket Pipelines, or Ansible.
• Desired: Experience implementing data quality monitoring and observability solutions.
• Desired: Knowledge of data governance, metadata management, and data lineage.
• Desired: Experience supporting large-scale analytical data platforms.
• Desired: Exposure to container-based platforms such as Kubernetes or OpenShift.
• Desired: Understanding of enterprise security controls, authentication, encryption standards, and access management.
• Desired: Exposure to reporting, analytics, AI, or machine learning data platforms.

Responsibilities:

• Develop data engineering solutions using Python.
• Develop and support Apache Airflow DAGs in production environments.
• Design, develop, and support data pipelines and automated workflow solutions.
• Connect to and integrate data from enterprise platforms and object storage technologies.
• Create, manage, and troubleshoot Apache Iceberg tables or similar modern table formats.

Technologies:

• AI
• Airflow
• Ansible
• BitBucket
• CI/CD
• Cloud
• Git
• GitHub
• Hadoop
• Hive
• Support
• Jenkins
• Kubernetes
• Linux
• Machine Learning
• OpenShift
• Oracle
• PostgreSQL
• Python
• SQL
• Security
• Unix

More

We are LTIMindtree, a global technology consulting and digital solutions company helping enterprises across industries transform business models, accelerate innovation, and pursue growth through digital technologies. We partner with more than 700 clients and bring together nearly 90,000 professionals across over 30 countries. As a Larsen & Toubro Group company, we combine the strengths of Larsen and Toubro Infotech and Mindtree to address complex business challenges and deliver transformation at scale. This is a full-time Python Developer role based in Charlotte, North Carolina. Benefits may vary depending on employment terms and include medical, dental, and vision coverage; short- and long-term disability coverage; a 401(k) plan with company match; life insurance; vacation time, sick leave, and paid holidays; and paid parental leave. Compensation is based on location, job level, skills, experience, and relevant education or training, and may include bonuses or other variable compensation. We are an equal opportunity employer committed to workplace diversity.

last updated 43 week of 2026