Technical Specialist-Data Engg

8 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Area(s) of responsibility Responsibilities 8+ years of hands-on experience in IT industry including all phases such as design, development, testing and implementation. 5+ years of hands-on Python development experience and 3+ years of SQL/PL-SQL experience Extensive hands-on experience required on DASH building building interactive web applications, data visualization dashboards, etc. Design, build, and scale data platforms and products using modern cloud technologies leveraging full-stack Python development, cloud data platforms, and knowledge of modern data modeling and storage formats. Knowledge with DBT handling large data transformations, Dataframes, version control systems, documenting the models. Knowledge with Airflow handling complex workflow management, scheduling and orchestration of data pipelines or workflows. Deploy high-performance Python-based data pipelines for structured, semi-structured, and unstructured data. Develop and implement data processing solutions using batch, real-time, event-driven frameworks, SQL and PL-SQL. In-depth knowledge of Python frameworks and libraries, such as Pandas, Django or Flask Ensure data integrity, lineage, and observability by writing resilient and maintainable code. Implement RESTful APIs and web services for data access and consumption. Knowledge on handling Bigdata, financial domain/data and Strong analytical and problem-solving skills. Collaborating with cross-functional teams, including front-end developers, to design and implement software features Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools Familiarity with version control systems (e.g., Git) Expertise in database systems and the ability to design and optimize SQL. Knowledge on handling Bigdata, financial domain/data and Strong analytical and problem-solving skills. Keeping up-to-date with the latest Python developments and best practices. Show more Show less

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