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Sr. Data Engineer
Providence
posted 7hr ago
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Flexible timing
Key skills for the job
Job Description
- Best In-class Benefits
- Inclusive Leadership
- Reimagining Healthcare
- Competitive Pay
- Supportive Reporting Relation
About the role
A Data Engineer is responsible for designing and modelling Data lake solutions/data ingestion pipelines by collaborating with our customers and understanding requirements on digital transformation. Able to navigate through ambiguous situations, to deal with aggressively changing environment. The drive to collaborate, gather feedback, solve problems, and tackle challenges through test and learn is highly valuable in this position. Should work closely with Software Engineers, Data Scientists, Azure Network Administrator teams to build a scalable compliant data system. Work with different stakeholders as SME for Data Engineering work.
Responsibilities
- Be the owner for data engineering solutions within Healthcare Intelligence. Ensure the continuity of data processes and the associated batch jobs.
- Identify, design and implement/coordinate implementation of scalable processes and infrastructure to have good governance of automated data processes.
- Manage the end-to-end data solutions of our customers: from raw data analysis to data flow and predictive framework configurations.
- Manage performance, capacity, availability, security and compliance of data platform and data solutions.
- Should be able to work on a problem independently and prepare client ready deliverable with minimal supervision.
- Elicit, analyze, and validate customer data from ingestion to production
- Monitor all data update processes and outputs to ensure predictive quality
- Communicate with customers to discuss any issues with received data and help them identify and fix data issues
- Solve day-to-day Data problems and customer challenges
- Own the automation, deployment and operation of data pipelines on MS Azure
- Build tools and mechanism to monitor and optimize different parts of the systems
- Build custom integrations between cloud-based systems using APIs
Skills and qualifications
- Required: Working experience on Azure Data technologies like Datalake ADLSGen2, Azure DataBricks, Azure Data factory, Azure SQL, Azure Synapse etc.
- Required: Experience in creating data orchestration using ADF and optimizing them through regular monitoring.
- Exposure to Snowflake Cloud data Platform
- Familiarity with Linux/Unix scripting, Python, SQL Queries and Database concepts required. Exposure to cloud onboard from legacy data sets.
- Experience working with large datasets and building data processing platforms
- Fluent with T-SQL, query analysis and optimization. Deep skills in modeling transactional databases and data warehouses.
- Exposure and understanding of Agile process and DevOps
- Good to have: Experience in batch scheduling rationalization through Control M
- Excellent interpersonal, verbal and written communication skills
- Excellent analytical and critical thinking capabilities and problem solving skills
Employment Type: Full Time, Permanent
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What people at Providence are saying
Rating based on 1 Data Engineer
review
Anonymous · Data Engineering
in Hyderabad/Secunderabad
Likes
Company culture and policies are good. Company gives good opportunities to work on different technologies and is open to innovation.
Dislikes
I couldn't find any reason to dislike Providence. Compensation is good but growth is bit slow for freshers. On-job training could have been bit more detail oriented. Otherwise it is good.
Read 1 reviewData Engineer salary at Providence
reported by
4
employees
with 1-5
years exp.
₹15.7
L/yr - ₹21
L/yr
72%
more
than the average Data Engineer Salary in India
View more details
What Providence employees are saying about work life
based on 22 employees
Flexible timing
Monday to Friday
No travel
Providence Benefits
View more benefits
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