Lead data engineering efforts, providing technical leadership and expertise in data manipulation, cloud platforms, and workflow automation.
- Bachelor's degree in computer science, Engineering, or a related field.
- 8+ years of progressive experience in data engineering, with at least 2 years in a technical leadership role.
- Expertise in Python and SQL for large-scale data manipulation and transformation.
- Extensive experience with cloud-based data platforms and services, particularly AWS.
- Deep understanding of data warehousing, dimensional modelling, and analytics frameworks.
- Hands-on experience with orchestration and workflow automation tools such as Apache Airflow and Jenkins.
- Proficiency in distributed, column-oriented databases (e.g., Vertica, Snowflake) and familiarity with CI/CD practices using Git or similar tools.
- Demonstrated ability to solve complex analytical problems and deliver high-quality, reliable data solutions at scale.
- Outstanding communication, collaboration, and organizational skills, with a track record of cross-functional partnership.
Top Skills
Apache Airflow
AWS
Git
Jenkins
Python
Snowflake
SQL
Vertica
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Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
