Data Engineer (Fintech/Automotive)

Skill-sets Required:

Technical Skills:

• 4 yrs. experience with building large Data pipelines
• MS Word, Excel, Powerpoint skills
• Deep understanding of RDBMS, Big Data, NOSQL, ETL and Data-warehousing Concepts
• Experience using Python/Pyspark and SQL is mandatory
• Knowledge of cloud services such as AWS and Azure is preferred
• Hands on Experience with AWS technologies like Amazon S3, EMR, Amazon RDS, Amazon Redshift etc. is preferred

Non-Technical Skills:

• An analytical but pragmatic approach to problem-solving
• Sound decision making and an understanding of how to share your thought process with others
• Empathy for end-users, customers and teammates
• The ability to thrive in ambiguous situations
• Taking individual leadership and showing strong ownership of key deliverables
• Excellent written and oral communication skills;
• Curiosity and learning oriented mindset for newer technologies
• Organisational skills and the ability to operate in a rational, and systematic way
• Passion to build unique and disruptive solutions in Finance/Automotive markets.
• Collaborative mentality and solid team player

Description of Day-to-Day Duties:

• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Work on different data model designs, architecture, implementation, discussions and optimizations
• Design, implement and support an analytical data platform solutions for data driven decisions and insights
• Work on different AWS technologies such as S3, RedShift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies
• Assemble large and complex datasets to generate business insights to enable data driven decision making
• Interface with other teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies like EMR, RedShift, Elastic Search etc.
• Design data schema and operate internal data warehouses & SQL/NOSQL database systems