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Providence

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3.5

based on 22 Reviews

48 Providence Jobs

Principal Data Engineer

Providence

3.5

based on 22 Reviews

9-13 years

₹ 37.2 - 42L/yr (AmbitionBox estimate)

Hyderabad / Secunderabad

1 vacancy

Principal Data Engineer

Providence

posted 7hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Oracle Automation Testing Information Technology Linux Administration Informatica

+ 4 more

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.
Partner with leadership, engineers, program managers, data analysts and data scientists to understand data needs
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: Expertise in ETL/ELT tools like Informatica/DataStage/Ab initio. And exposure to reporting tools like PowerBI/ Tableau etc.
Familiarity with Linux/Unix scripting, Python, SQL Queries and Database concepts required. Exposure to cloud onboard from legacy data sets.
Fluent and fast with T-SQL, query analysis and optimization. Deep skills in modeling transactional databases and data warehouses.
Required: Working experience on Azure technologies like Datalake ADLSGen2, DataBricks, Azure Data factory, Azure SQL, Azure Synapse etc.
Required: Experience in creating data orchestration using ADF and optimizing them through regular monitoring.
Good to have: Experience in batch scheduling rationalization through Control M
Good to have: Familiarity in administering Azure-based data infrastructures / Windows systems administration (VMs or physical machines), storage, networking, security access, certificate, and compliance management.