Company Description:
Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Company Description:

Infostretch is a digital-native professional services firm. By combining our in-depth experience with niche digital technologies, ready-made tools, frameworks, technologies, and partnerships, we help enterprises get digital right, the first time. Backed by leading private equity firms Goldman Sachs and Everstone Group, the company is trusted by leading Fortune 100 companies as well as emerging innovators to deliver solutions that work seamlessly across channels, leverage predictive analytics to optimize the software lifecycle, and support continuous innovation.

The Company has been Certified as Great Place to Work for consecutive years, thanks to its employee friendly culture and this has enabled consistent double digit growth.

Technical Skills:

Ensuring accuracy, completeness, correctness, integrity, timeliness and validity of data in the Data Lake.
Writing testing plans and routines, managing continuous integration and regression testing processes.
Experience in data-profiling and providing statistical analysis to data using tools like Prometheus, Grafana or similar tools.
Solid skills in writing and understanding SQL queries.
Hands-on experience in ETL testing and data and schema validation of RDS and Data Warehouse.
Performance testing.
Hands-on scripting experience using Python or similar scripting languages.
Experience in developing, maintaining, and upgrading automated test scripts and architecture.
Statistical knowledge to represent and plot error rate and curve-fitting models .
Good understanding of REST-based API testing.
Good understanding of functional UI automation frameworks.
Experience with AWS cloud services, data pipeline and governance tools like AWS Glue.

Disclaimer:
If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

Data Quality Engineer Job at Infostretch

Company Description:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Ensuring accuracy, completeness, correctness, integrity, timeliness and validity of data in the Data Lake.
Writing testing plans and routines, managing continuous integration and regression testing processes.
Experience in data-profiling and providing statistical analysis to data using tools like Prometheus, Grafana or similar tools.
Solid skills in writing and understanding SQL queries.
Hands-on experience in ETL testing and data and schema validation of RDS and Data Warehouse.
Performance testing.
Hands-on scripting experience using Python or similar scripting languages.
Experience in developing, maintaining, and upgrading automated test scripts and architecture.
Statistical knowledge to represent and plot error rate and curve-fitting models .
Good understanding of REST-based API testing.
Good understanding of functional UI automation frameworks.
Experience with AWS cloud services, data pipeline and governance tools like AWS Glue.

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Job Code: QA-AP-210101

Category: Engineering

Job Type: Full-Time

Location: Pune, India or Ahmedabad, India

Open Positions: 1

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