Senior Python Data Engineer

Role Description

We are looking for a highly skilled Senior Python Data Engineer with strong expertise in Python development, SQL, and data engineering principles. The ideal candidate will be responsible for designing, developing, and maintaining scalable applications, APIs, and data processing solutions. The role requires hands-on coding, database optimization, data pipeline development, and collaboration with cross-functional teams to deliver high-quality software solutions.

• Design, develop, and maintain scalable data pipelines using Python and SQL.
• Develop and optimize ETL/ELT workflows using Snowflake, DBT, and Airflow.
• Perform data ingestion, transformation, validation, and quality checks.
• Troubleshoot production issues and ensure data accuracy, reliability, and performance.
• Work with cloud platforms such as AWS/Azure/GCP.
• Collaborate with architects, analysts, and business teams to translate requirements into technical solutions.
• Participate in code reviews, testing, CI/CD, and Agile practices.
• Contribute to technical design, automation, and continuous improvement of data engineering processes.
• Mentor junior engineers and provide technical guidance where required.

Qualifications

• 7+ years of software development experience with strong hands-on expertise in Python.
• Strong proficiency in SQL, database design, query optimization, and performance tuning.
• Experience building backend applications, APIs, and data-driven solutions.
• Knowledge with Snowflake, DBT, and Apache Airflow.
• Strong understanding of data structures, algorithms, and object-oriented programming principles.
• Experience building and maintaining data pipelines and data processing workflows.
• Experience working with relational databases such as PostgreSQL, SQL Server, MySQL, or similar.
• Experience with Git version control and collaborative development practices.
• Good understanding of CI/CD, automated testing, and software deployment processes.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management skills.

Requirements

• Exposure to modern data warehouse and analytics platforms.
• Experience with Docker, Kubernetes, or containerized deployments.
• Knowledge of data governance and data quality frameworks.

Benefits

• Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
• Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
• Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
• Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
• Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
• Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.