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9.0 - 13.0 years
0 Lacs
chennai, tamil nadu
On-site
You should have 9+ years of experience and be located in Chennai. You must possess in-depth knowledge of Python and have good experience in creating APIs using FastAPI. It is essential to have exposure to data libraries like Pandas, DataFrame, NumPy etc., as well as knowledge in Apache open-source components. Experience with Apache Spark, Lakehouse architecture, and Open table formats is required. You should also have knowledge in automated unit testing, preferably using PyTest, and exposure in distributed computing. Experience working in a Linux environment is necessary, and working knowledge in Kubernetes would be an added advantage. Basic exposure to ML and MLOps would also be advantageous.,
Posted 1 day ago
9.0 - 13.0 years
0 Lacs
chennai, tamil nadu
On-site
As an ideal candidate for this role, you should possess in-depth knowledge of Python and have good experience in creating APIs using FastAPI. You should also have exposure to data libraries like Pandas, DataFrame, NumPy, as well as knowledge in Apache open-source components and Apache Spark. Familiarity with Lakehouse architecture and Open table formats is also desirable. Additionally, you should be well-versed in automated unit testing, preferably using PyTest, and have exposure to distributed computing. Experience working in a Linux environment is a must, while working knowledge in Kubernetes would be considered an added advantage. Basic exposure to ML and MLOps would also be advantageous for this role.,
Posted 2 days ago
7.0 - 12.0 years
50 - 95 Lacs
Bengaluru
Hybrid
Seeking a Principal Data Engineer with the following skills, an excellent opportunity for top-tier coding experts . Experience with building and maintaining a Lakehouse architecture . Advanced expertise in Python and SQL. Expert in leveraging cloud-based data platform ( Snowflake , Databricks ) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem Experience using spark for data ingestion/ processing Key Responsibilities Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers providing mentorship and guidance. Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress. Drive technical innovation within the department to increase code reusability, code quality and developer productivity. Challenge the status quo by bringing the very latest data engineering practices and techniques
Posted 1 month ago
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