- Understand business requirement to translate into analytical problem into data engineering pipeline
- Responsible and owning multiple projects/use case data ingestion, writing optimal ETL queries, automating ETL workflow using SSIS, cloud platform
- Interact with business/I.T/data owner to understand data source & logic and incorporate the same in data layer
- Manage large volumes of structured and unstructured data, extract data, create feature and automate data pipeline in Python and SQL
- Keep up with various data engineering technique and tools in continuously emerging area of Data Science/AI
- Come up with ideas/suggestion to improve data engineering pipeline, automation of end to end model deployment and monitoring
Experience/Skills/Education
- Strong understanding and hands on experience of 1 to 2 years in SQL, PL/SQL
- Bachelors/Masters in Engineering/B.SC/I.T
- Experience in ETL tool and has implementation experience
- Sound interpersonal skills with strong written and verbal communication, ability to work independently and good problem solving skills
- Result oriented with strong focus on implementation and scaling solution
- Knowledge of data science process and technique
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