CrawlJobs Logo
Augusta Hitech Soft Solutions Logo Augusta Hitech Soft Solutions · IT - Software Development

Data Ops Engineer

India · Job Posted February 16, 2026
Apply Position
Job Link Share

Job Description

We are looking for a skilled DataOps Engineer to operationalize and industrialize data pipelines in healthcare and medical environments. You will design, automate, and maintain reliable data flows from medical devices, EMS systems, and other healthcare sources into analytics and reporting platforms. This role applies DevOps principles to data, ensuring high data quality, observability, and rapid delivery of insights while meeting strict regulatory and uptime requirements.

Job Responsibility

  • Design, build, deploy, and optimize end-to-end data pipelines (ingestion, transformation, orchestration, and delivery) using modern DataOps practices
  • Implement CI/CD pipelines for data workflows, including version control, automated testing, and deployment of transformations (e.g., using dbt)
  • Orchestrate complex workflows with tools like Apache Airflow, Prefect, or cloud-native orchestrators
  • Establish monitoring, alerting, and observability for data pipelines — ensuring data freshness, quality, and lineage
  • Perform root-cause analysis on pipeline failures and implement preventive measures
  • Collaborate with data engineers, analysts, data scientists, and business stakeholders to translate requirements into reliable data products
  • Enforce data governance, quality frameworks, and compliance controls (HIPAA, PHI security) in all data processes
  • Automate infrastructure provisioning and support cloud data platforms (Azure, AWS, or GCP)
  • Contribute to continuous improvement of DataOps processes, tools, and standards in the managed services environment
  • Participate in on-call rotation and maintain SLAs for data availability and performance

Requirements

  • 8 years of experience in data engineering or DataOps roles
  • Strong expertise in building and operating data pipelines (ETL/ELT) and orchestration tools
  • Proficiency in Python, SQL, and at least one cloud platform (Azure Synapse, AWS Glue, GCP Dataflow preferred)
  • Hands-on experience with dbt, Airflow, Docker, Kubernetes, and Git
  • Experience with data quality, observability, and testing frameworks
  • Solid understanding of healthcare data concepts, compliance (HIPAA), and regulated environments
  • Excellent problem-solving, collaboration, and communication skills

Nice to have

  • Experience supporting medical device, EMS, or healthcare analytics data
  • Certification in cloud data services or DataOps practices
  • Exposure to real-time streaming (Kafka, Spark Streaming) and modern data stacks (Databricks, Snowflake)
Augusta Hitech Soft Solutions - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Ops Engineer

8 matching positions

Staff Data Ops Engineer - Platform

We are looking for a Staff Data Ops Engineer - Platform to join the Data & AI Pl...
Location
Location
France , Paris
Salary
Salary:
Not provided
doctolib.fr Logo
Doctolib
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience after graduation as a Staff Data Platform Engineer, or Staff Data Ops or Staff Site Reliability Engineer or in a similar role, with a history of architecting and scaling robust data platforms
  • Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
  • Authority on implementing network and IAM security best practices
  • Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
  • Highly skilled in programming with Python, and have a solid understanding of software development principles
  • Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
  • Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
  • Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
  • Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
  • Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
  • Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization
What we offer
What we offer
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Work Council subsidy to refund part of sport club membership or creative class
  • Up to 14 days of RTT
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Lunch voucher with Swile card
  • Fulltime
Read More
Arrow Right

Tech Ops Engineer Intern - Fall 2026, AWS Data Center Commissioning

Amazon internships across all seasons are full-time positions, and interns shoul...
Location
Location
United States , Multiple locations
Salary
Salary:
96000.00 - 166300.00 USD / Year
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Are enrolled in a academic program that is physically located in the United States
  • Knowledge of Power Systems, Fluid Dynamics, or Thermodynamics
  • Experience using a variety of web-based and other software tools for calculation and data processing
  • Are 18 years of age or older
  • Work 40 hours/week minimum and commit to 12 week internship
  • Currently enrolled in a bachelor's degree or higher in Electrical Engineering, Mechanical Engineering, Construction Management or a similar field
Job Responsibility
Job Responsibility
  • Serve as a technical resource within Amazon data centers
  • Tackle challenges in designing, building, and operating Amazon data center facilities
  • Oversight and review of all disciplines including electrical, mechanical, controls, and architectural
  • Identify areas for improvement
  • Design, develop and deploy innovative solutions to address operational challenges
  • Work within multi-disciplinary teams
  • Improve electrical, mechanical, fire detection and building automation system
What we offer
What we offer
  • EAP
  • Mental Health Support
  • Medical Advice Line
  • 401(k) matching
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Data Platform

We are looking for a Senior Data Engineer - Data Platform to join our Data & AI ...
Location
Location
France , Paris
Salary
Salary:
Not provided
doctolib.fr Logo
Doctolib
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • More than 7 years of experience as Site Reliability Engineer, Data Ops, Data Platform Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
  • Strong proficiency in data engineering and infrastructure tools and technologies, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
  • Expertise in programming languages like Python
  • Familiar with cloud infrastructure and services, preferably AWS, Azure, or GCP, and have experience with infrastructure-as-code tools such as Terraform
  • Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues
Job Responsibility
Job Responsibility
  • Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
  • Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
  • Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
  • Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
  • Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders
What we offer
What we offer
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Up to 14 days of RTT
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Lunch voucher with Swile card
  • Fulltime
Read More
Arrow Right

Ai Ops Ml Ops Engineer

Whitehall Resources are currently looking for a AI Ops ML Ops Engineer. Key Requ...
Location
Location
Salary
Salary:
Not provided
whitehallresources.com Logo
Whitehall Resources Ltd
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Min 7+ years of Experience in ML Ops, DevOps, AI/ML deployment, monitoring, cloud platforms and production support
  • Build strong cross-functional ways of working across Data & AI, IT, Digital and business teams so delivery is aligned, practical and business-led
  • Keep the internal and external customer experience at the center of data, analytics and AI delivery, with focus on reliable outcomes and decision support
  • Continuously build capability in modern data, analytics and AI practices and actively share knowledge with peers and business users
  • Apply structured problem solving to simplify complex data, process and technology issues and remove barriers to execution
  • Identify practical opportunities to improve business performance using modern data platforms, analytics, automation, GenAI and embedded AI capabilities
  • Adjust priorities and delivery approach in a dynamic business environment while maintaining governance, quality and business continuity
  • Deploy, monitor and manage ML models and AI services across the lifecycle
  • Apply release, versioning, automation and controlled deployment practices
  • Monitor uptime, drift, performance, data quality and operational metrics
Job Responsibility
Job Responsibility
  • Operationalizes, monitors and supports AI/ML solutions in production
  • Ensures models, pipelines and AI services are deployed, monitored, governed and maintained with reliable operational practices
  • Implement ML Ops and deployment practices
  • Monitor model and solution health
  • Support production AI/ML systems
  • Ensure auditability and governance of AI operations
  • Improve automation and reliability
Read More
Arrow Right

Data Engineer, DA&AI Co-Op

We are seeking a motivated and curious Data Engineer / AI Engineer to join our t...
Location
Location
United States , Camden
Salary
Salary:
Not provided
campbells.com Logo
THE VAIL CORPORATION
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
  • Foundational programming skills in Python and an understanding of SQL
  • Familiarity with AI concepts through coursework or personal projects
  • Excellent problem-solving skills and a high degree of technical curiosity
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.
Job Responsibility
Job Responsibility
  • Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes
  • AI Training: Provide feedback to enhance and optimize the output of agents
  • Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs
  • Monitor Model Performance: Identify 'hallucinations' or inconsistencies in AI responses and suggest improvements for model grounding
  • Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies
  • Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.
What we offer
What we offer
  • Medical
  • Dental
  • Short and long-term disability
  • AD&D
  • Life insurance
  • Matching 401(k) plan
  • Unlimited sick time
  • Paid time off
  • Holiday pay
  • Free access to fitness center (if in WHQ)
  • Fulltime
Read More
Arrow Right

Data Engineer - Operational Support (Co-op)

Operational Support Data Engineer (Co-op). We are seeking a motivated and curiou...
Location
Location
United States , Camden
Salary
Salary:
Not provided
campbells.com Logo
THE VAIL CORPORATION
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Pursuing a degree in Computer Science, Data Engineering, Data Science, or related fields
  • Basic knowledge of SQL and relational databases
  • Programming in Python and/or PySpark
  • Understanding of ETL/ELT, data modeling, or STTM concepts
  • Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus
  • Exposure to AI/ML, CI/CD, or DevOps is beneficial
  • Strong problem-solving and analytical skills
  • Strong communication and teamwork skills
  • Self-motivated with a willingness to learn
Job Responsibility
Job Responsibility
  • Build Data Pipelines: Develop and support scalable data pipelines and ETL/ELT workflows
  • Data Ingestion & Integration: Ingest data from SAP, APIs, databases, flat files, and cloud platforms
  • Data Transformation: Build transformations using Python, PySpark, and SQL
  • Data Modeling & STTM: Support STTM, semantic layers, and data modeling for analytics
  • Support Analytics & AI/ML: Prepare datasets for reporting, AI/ML, and advanced analytics
  • Monitor & Troubleshoot: Track pipeline health and resolve failures, performance, and data quality issues
  • Data Operations: Support incident triage, root cause analysis, and operational monitoring
  • BI Collaboration: Support Power BI datasets, semantic models, and reporting solutions
  • DevOps & CI/CD: Assist with deployments, testing, and automation
  • Agile Delivery: Participate in sprint planning, stand-ups, and retrospectives
What we offer
What we offer
  • Medical
  • Dental
  • Short and long-term disability
  • AD&D
  • Life insurance (for individual, families, and domestic partners)
  • Matching 401(k) plan with immediate vesting
  • Unlimited sick time
  • Paid time off
  • Holiday pay
  • Free access to fitness center (if in WHQ)
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

As Senior Data Engineer you will be responsible for designing, building, maintai...
Location
Location
Portugal , Lisbon
Salary
Salary:
35571.65 - 48126.35 EUR / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree and 3 to 5 years of Computer Science, IT or related field experience
  • Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
  • Experience with data warehousing platforms such as Amazon Redshift, or Snowflake
  • Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases
  • Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets
  • Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops
Job Responsibility
Job Responsibility
  • Design, develop, and maintain data solutions for data generation, collection, and processing
  • Be a key team member that assists in design and development of the data pipeline
  • Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
  • Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
  • Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
  • Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
  • Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
  • Implement data security and privacy measures to protect sensitive data
  • Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
  • Collaborate and communicate effectively with product teams
What we offer
What we offer
  • Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide
  • Modern Tech Stack – Cloud-first, automation-focused, AI-powered
  • Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams
  • Continuous Learning – Access to certifications, trainings, mentorship, and career mobility
  • AMGEN Total Rewards Plan – Comprehensive benefits in healthcare, finance, and well-being
  • Flexibility – Hybrid work model with time split between our Lisbon office and remote work
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

In this vital role as Specialist / Senior Data Engineer at Amgen you will be res...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's/Bachelor's degree and 8 to 13 years of Computer Science, IT or related field experience
  • Experience managing a team of data engineers
  • Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems
  • Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions
  • Proficiency in Python, PySpark, SQL
  • Experience with dimensional data modeling
  • Experience working with Apache Spark, Apache Airflow
  • Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
  • Experienced with AWS or GCP or Azure cloud services
  • Understanding of end to end project/product life cycle
Job Responsibility
Job Responsibility
  • Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division
  • Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems
  • Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance
  • Drive the development of data tools and frameworks for managing and accessing data efficiently across the organization
  • Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms
  • Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness
  • Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features
  • Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices
  • Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases
  • Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives
  • Fulltime
Read More
Arrow Right