Job Location: Hyderabad/Secunderabad
Primary Responsibilities:
- Data engineering lifecycle including research, proof of concepts, design, development, test, deployment, and maintenance.
- Design, develop, implement, and run cross-domain, modular, flexible, scalable, secure, reliable, and quality data solutions that transform data for meaningful analyses and analytics while ensuring operability.
- Build processes and diagnostics tools to troubleshoot, maintain and optimize solutions and respond to customer and production issues
- Embrace continuous learning of engineering practices to ensure industry best practices and technology adoption, including DevOps, Cloud and Agile thinking
- Ability to independently troubleshoot problems in development as well as production and zero in on the likely root causes.
- Define and drive improvements in the overall quality including automation, code coverage and inspection processes.
- Conduct code review & design review to ensure the work delivered by the team is of high-quality standards.
- Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and security.
- Work closely with business team and provide expert recommendations to improve customer experience.
- Work on project estimates and budget allocations. Project management change deployment and collaborate with product owner to prioritize project items
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelorโs degree in Computer Science, Engineering, Mathematics, Statistics, Economics or related discipline
- 8+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL processes to provide quality data and analytics solutions
- 5+ years of experience with Python language
- Good experience with pyspark
- 3+ years of experience with cloud platform
- Experience with relational SQL
- Experience with data pipeline and workflow management tools: Jenkins, GITHUB
- Unix, ETL Data warehousing knowledge
- Agile working knowledge
- Azure Cloud (ADF, Databricks)
Preferred Qualifications:
- Experience with Big Data tools (SPARK- SCALA)
- Healthcare industry experience
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