Senior AWS Data Engineer
3 weeks ago
Experience Required :
- Minimum 7+ years Experience in Data Engineering.
- Must have good knowledge and experience in Python.
- Mush have good Knowledge of Pyspark.
- Mush have good Knowledge of Databricks.
- Must have good experience in AWS (Glue, Athena, Redshift, EMR)
- Typically requires relevant analysis work and domain-area work experience.
- Expert in the management, manipulation, and analysis of very large datasets.
- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
- Good knowledge of scientific programming in scripting languages like Python.
Key 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 SQL and AWS 'big data' 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 stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
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