About Saarthee:
Saarthee is a global IT consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.
Position Summary:
We are seeking an experienced Backend Engineer with expertise in AWS Integrations. The ideal candidate will have extensive experience with ETL processes and tools, as well as a strong understanding of data governance and compliance requirements. The Backend Engineer is responsible for designing and developing data delivery on our data warehouse on AWS
Key Responsibilities:
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Works with product owners, developers and AWS Infrastructure team to design and develop ETL processes Develop and optimize stored procedures
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Work on API integrations
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Ability to automate and optimize processes as much as possible
- Ability to work in an Agile/Scrum team
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Ability to problem solve and propose solutions
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Use established Analytics standards/processes in ETL processes
- Ability to communicate with technical and business teams
- Ability to learn new technology quickly
Required Qualifications:
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Experience in data architecture including data modeling, data mining and data ingestion
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Experience with AWS associated technologies (S3 buckets, Glue, Data Pipeline, DMS, RDS, Redshift, Lambda) Knowledge of creating ETL scripts with languages such as Python, Node.js, SQL
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Experience in data warehousing and big data
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Experience with Relational databases (SQL Server)
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Experience working in Agile/Scrum teams
Education Qualification:
BE/BTech in Computer Science, IT and relevant fields.
Preferred Qualifications:
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Experience with cloud-based data platforms and big data technologies.
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Knowledge of API integration and real-time data ingestion techniques.
Mandatory Skills :
AWS(Lambda, CloudWatch, Redshift), Python, SQL, Git, API
