Job Responsibilities:
We are looking for a smart and experienced Data Engineer 1 who can work with a senior manager to
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Build DevOps solutions and CICD pipelines for code deployment
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Build unit test cases for APIs and Code in Python
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Manage AWS resources including EC2, RDS, Cloud Watch, Amazon Aurora etc.
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Build and deliver high quality data architecture and pipelines to support business and reporting needs
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Deliver on data architecture projects and implementation of next generation BI solutions
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Interface with other teams to extract, transform, and load data from a wide variety of data sources
Qualifications:
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Education: MS/MTech/Btech graduates or equivalent with focus on data science and quantitative fields (CS, Eng, Math, Eco)
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Work Experience: Proven 1+ years of experience in data mining (SQL, ETL, data warehouse, etc.) and using SQL databases
Other Requirements:
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Domain knowledge in Financial Services is a big plus
Skills & Competencies
Technical Skills
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Proficient in Python and SQL. Familiarity with statistics or analytical techniques
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Data Warehousing Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
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Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark
Soft Skills
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Deep Curiosity and Humility
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Excellent storyteller and communicator
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Design Thinking
Competencies
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High social responsibility and mission-driven culture
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Team player
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High Integrity and focus on Building relationships
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Inspiring Leader who instills confidence
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People-oriented and Goal-oriented
Behavioral Traits
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Initiative
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Energetic
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Bias for Action and a commitment to our social mission