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Senior Python Data Engineer

Miratech1·Worldwide·All Cities, IN·senior
pythonsnowflakesqlawsazuredbtdata engineeringci/cd
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Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Summary 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. Responsibilities: 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.

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