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Providence College of Engineering

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4.9

based on 4 Reviews

80 Providence College of Engineering Jobs

Senior Data Engineer

Providence College of Engineering

4.9

based on 4 Reviews

2-5 years

Hyderabad / Secunderabad

1 vacancy

Senior Data Engineer

Providence College of Engineering

posted 4mon ago

Job Role Insights

Key skills for the job

Data Analysis Administration Healthcare Linux Business Operations Analytical

+ 3 more

Job Description

Senior Data Engineer

JD- Senior Data Engineer

How is this Team contributing to the vision of Providence:

We, at Enterprise Services, the healthcare consulting and services arm of Providence India, help build technology solutions that modernize and simplify each step of the healthcare delivery process. And we do that by putting the patient and the provider at the centre of everything we do. Using the most promising and practical ideas, combined with the experience and expertise from people from the healthcare industry, we are creating experiences that work for care facilities, their patients and move us ahead on our mission of Health for a better world

What will you be responsible for?

As a Senior Data Engineer, you will be responsible to develop effective and high-quality healthcare program integrity analytics that meet business requirements. Responsible to synthesize business needs into data requirements and build a roadmap for sustainable solutions for data extraction and cleansing, migrations, data conflict resolutions.
A self-starter mindset who has ability to architect and build solutions for data migration problems from scratch.
Work with Cloud Engineering teams to deliver Cloud Transformations & Data Migrations projects.

What would your day look like?

This position includes collaborating with DevOps teams to implement CI/CD pipelines, automated deployments, and infrastructure as code (IaC) practices for AWS-based solutions. Document design, development, and deployment processes, as well as create technical specifications and user guides for developed solutions.
Use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements. Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations.
Analyze and organize raw data.
Build data systems and pipelines.
Evaluate business needs and objectives.
Interpret trends and patterns.
Conduct complex data analysis and report on results.
Prepare data for prescriptive and predictive modelling.
Build algorithms and prototypes.
Combine raw information from different sources.
Explore ways to enhance data quality and reliability.
Identify opportunities for data acquisition.
Develop analytical tools and programs.
Collaborate with data scientists and architects on several projects.
Using healthcare data to achieve administrative needs and goals.
Understanding data storage and data sharing methods.
Understanding healthcare business operations.
Utilizing different data sources for analyses.

Who are we looking for?

Minimum 2-5 years of exp. of professional work experience preferable in management consulting or high growth start-ups preferably in healthcare.
3+ years of experience in a data analytical role.
Bachelors degree in mathematics, statistics, healthcare administration, or related field.
Strong Experience in Hive, SQL, Databricks, Snowflake and Alteryx
Strong Experience with data modelling, data warehousing, and data integration concepts.
Ability to deliver solutions leveraging Azure platform services for cloud only and hybrid (cloud & on-prem) scenarios.
Fluent in data stack and experience of working on large datasets. Strong experience on Microsoft SQL server and SQL Azure, Azure data bricks, Azure Data Factory.
Hands on experience on Spark solution and performance tuning. Hands on experience on scripting language such as python/Scala/spark.
Has experience on ETL/ELT concepts and tools.
Hands-on experience with key compute, network, storage, security services and their components - VM (Windows & Linux), V Net, Configuring NSGs and Route tables, App Gateway, Express Route, Scale sets, Azure Databricks, ADF, Azure Data Lake, AKS, ASE, WAF, RBAC model, log analytics etc.
Hand-on experience in Data Extraction, Conversion and Archival, Hands-on experience on Hyland OnBase and HL7 proficient
Ability to effectively communicate and excellent interpersonal skills, Experience working in Agile/sprints in a global team setup
Certified Azure Data Engineer Associate (or equivalent).
Familiarity with agile development methodologies and experience working in Agile teams
Expertise with visualization tools For e.g : Power BI,Qliksense or Excel
Analytical mindset with good problem-solving skills.