Job Location: Pune
Roles/ Responsibilities:
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL and AWS technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Work with data and analytics experts to strive for greater functionality in our data systems.
Job Requirements:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Expertise with Object-oriented/object function scripting languages: Python.
- Expertise with Azure Data Factory/ AWS Glue.
- Strong analytic skills related to working with unstructured datasets.
- Experience building and optimizing data pipelines, architectures and data sets.
- Experience supporting and working with cross-functional teams in a dynamic environment.
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