cloud data engineer

Turning Point Healthcare Solutions

<div><div>Azure Cloud Data Engineer</div>
<div></div><div>Who We Are:</div>
<div>TurningPoint Healthcare Solutions is a leader in advanced clinical and technology-enabled complex condition management. TurningPoint provides an innovative suite of specialty care management services and technologies that enable health plans and employers to improve the safety, quality, and affordability of healthcare. Through its platform and specialized team of clinical experts, TurningPoint works collaboratively with providers to deliver optimal care. TurningPoint offers condition-specific, quality-driven, value-based care management services that optimize care from diagnosis and discovery through recovery. TurningPoint&rsquo;s comprehensive and integrated suite of services enhances the support individuals need, at the time they need it most. Since launching in 2015, TurningPoint has provided support to more than 50 million people nationwide across numerous clinical specialties including musculoskeletal, pain management, cardiology, wound care, ear/nose/throat, and sleep. TurningPoint&rsquo;s model moves beyond denial-based care to holistic condition management that improves outcomes and reduces cost. TurningPoint is an independent organization, not owned or affiliated with a health plan or provider system.</div>
<div></div><div><div>Position Summary:</div>
<div>The Cloud Data Engineer will play a critical role in designing, implementing, and maintaining robust data architectures and infrastructure in a Microsoft Azure cloud environment. The successful candidate will collaborate with cross-functional teams to ensure data availability, integrity, and optimal performance for analytical and operational purposes. This role requires a deep understanding of Azure cloud platforms, Databricks, proficiency in data engineering technologies, and a commitment to implementing best practices in data management.</div>
<div></div><div><div>Roles and Responsibilities:</div>
<ul><li>Design and develop data architecture for cloud-based solutions, ensuring scalability, performance, and reliability.</li>
<li>Create and implement data models that support the organization's business requirements.</li>
<li>Thorough understanding of SSIS (SQL Server Integration Services).</li>
<li>Migrating legacy ETL processes to cloud-based technologies such as Azure Data Factory.</li>
<li>Optimize data storage and processing solutions for cost efficiency and performance.</li>
<li>Manage and optimize cloud-based databases (e.g., Databricks, Azure SQL Database, Azure SQL Managed Instance)</li>
<li>Develop and maintain ETL (Extract, Transform, Load) processes to move and transform data between systems.</li>
<li>Implement data integration solutions for seamless connectivity between various data sources and destinations.</li>
<li>Implement and enforce data quality standards and governance policies.</li>
<li>Collaborate with data stewards to ensure data accuracy, consistency, and compliance.</li>
<li>Work closely with Health Economics and Analytics teams to understand their data requirements and provide the necessary infrastructure and support.</li>
<li>Implement security measures to protect sensitive data.</li>
<li>Ensure compliance with relevant data privacy regulations and industry standards.</li>
<li>Monitor the performance of data systems and optimize as needed for efficiency and cost-effectiveness.</li>
<li>Document data architecture, configurations, and processes.</li>
<li>Create and maintain documentation for data workflows and pipelines.</li>
<li>Identify and resolve issues related to data processing, storage, and integration.</li>
<li>Provide support and troubleshoot data-related incidents in collaboration with other teams.</li>
</ul><div><div>Education &amp; Experience:</div>
<ul><li>Bachelor&rsquo;s degree in computer science or equivalent experience in a technical field</li>
<li>5+ years of experience in data engineering, data architecture, or a related field</li>
<li>Software Engineering in C#, Javascript, or Python for use in data environments</li>
<li>Experience in health care data is a plus.</li>
<li>Mirth experience is a plus.</li>
<li>Hands-on experience with Azure cloud-based data platforms and technologies</li>
<li>Azure certifications preferred</li>
<li>Troubleshooting and analytical skills</li>
<li>Strong communication and collaboration skills</li>
<li>Client management skills to discuss systems as needed</li>
<li>Relevant training and/or certifications as a Cloud Engineer</li>
<li>Utilize source control to maintain version history of all development activities. (Azure Dev Ops)</li></ul> 
<div></div><div>TurningPoint Healthcare Solutions is an Equal Opportunity Employer.</div>
<div></div><div>#LI-Remote</div></div></div></div></div>

Azure Cloud Data Engineer

PwC India

<div>
 
 
 Job Description &amp; Summary:
 
 We are looking for a skilled
 
 Azure Cloud Data Engineer
 
 with strong expertise in
 
 Python programming
 
 ,
 
 Databricks
 
 , and
 
 advanced SQL
 
 to join our team in
 
 Noida
 
 . The candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure cloud platform. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies.
 
 
 
 Level:
 
 Senior Consultant / Manager
 
 
 
 Location:
 
 Noida
 
 
 
 LOS:
 
 
 
 
 Competency:
 
 Data &amp; Analytics
 
 
 
 Skill: Azure Data Engineering
 
 
 
 
 Job Position Title:
 
 
 
 Azure Cloud Data Engineer with Python Programming &ndash; Senior Consultant/Manager (6+ Years)
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
 </li>
 <li>
 Write clean, efficient, and reusable code primarily in
 
 Python
 
 for cloud automation, data processing, and orchestration.
 </li>
 <li>
 Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
 </li>
 <li>
 Build and optimize ETL workflows and ensure seamless data integration across platforms.
 </li>
 <li>
 Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
 </li>
 <li>
 Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
 </li>
 <li>
 Troubleshoot performance bottlenecks in data flows and ETL processes.
 </li>
 <li>
 Integrate advanced analytics and support BI use cases within the Azure ecosystem.
 </li>
 <li>
 Lead code reviews and ensure adherence to version control practices (e.g., Git).
 </li>
 <li>
 Contribute to the design and deployment of enterprise-level data warehousing solutions.
 </li>
 <li>
 Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
 </li>
 </ul>
 
 
 Mandatory skill sets:
 
 
 
 
 
 <ul>
 <li>
 
 Strong Python programming skills (Must-Have)
 
 &ndash; advanced scripting, automation, and cloud SDK experience
 </li>
 <li>
 
 Strong SQL skills (Must-Have)
 
 </li>
 <li>
 
 Azure Databricks (Must-Have)
 
 </li>
 <li>
 Azure Data Factory
 </li>
 <li>
 Azure Blob Storage / Azure Data Lake Storage
 </li>
 <li>
 Apache Spark (hands-on experience)
 </li>
 <li>
 
 Data modeling (Normalization &amp; Denormalization)
 
 </li>
 <li>
 Data warehousing and BI tools integration
 </li>
 <li>
 Git (Version Control)
 </li>
 <li>
 Building scalable ETL pipelines
 </li>
 </ul>
 
 
 Preferred skill sets (Good to Have):
 
 
 
 
 
 <ul>
 <li>
 Understanding of OLTP and OLAP environments
 </li>
 <li>
 Experience with Kafka and Hadoop
 </li>
 <li>
 Azure Synapse Analytics
 </li>
 <li>
 Azure DevOps for CI/CD integration
 </li>
 <li>
 Agile delivery methodologies
 </li>
 </ul>
 
 
 Years of experience required:
 
 
 
 
 
 <ul>
 <li>
 6+ years of overall experience in cloud engineering or data engineering roles, with at least 2-3 years of hands-on experience with Azure cloud services.
 </li>
 <li>
 Proven track record of strong Python development with at least 2-3 years of hands-on experience.
 </li>
 </ul>
 
 
 Education qualification:
 
 
 
 
 
 
 BE/B.Tech/MBA/MCA
 
 
 
</div>

Senior Consultant

TriDevSofts

Employment TypeContract - 3 months (It can be extended)Work LocationRemoteExperience Level4&ndash;9 YearsEducational RequirementsBachelor's in Technology or related field; Master&rsquo;s degree preferredJob DescriptionWe are looking for a skilled GCP Data Engineer to join our team and work on building and optimizing data solutions on Google Cloud Platform. The ideal candidate will have strong experience in GCP services, data warehousing, and real-time analytics solutions. You will be responsible for implementing end-to-end data pipelines and supporting advanced analytics initiatives.Key Responsibilities&middot; Design and implement scalable data pipelines using GCP services such as Dataflow, Dataproc, and Cloud Composer&middot; Develop and manage BigQuery data warehouses and optimize query performance&middot; Ingest, transform, and enrich data from various sources using Python or SQL&middot; Collaborate with data analysts, data scientists, and stakeholders to define data requirements&middot; Implement data security, governance, and quality controls across pipelines&middot; Leverage Pub/Sub for real-time data streaming and messaging&middot; Use Terraform or Deployment Manager for infrastructure automation&middot; Set up and manage CI/CD pipelines using Cloud Build or Jenkins&middot; Ensure system reliability and maintainability through monitoring and logging (Stackdriver, Cloud Monitoring)Required Skills &amp; Technologies&middot; Strong hands-on experience with GCP data services like BigQuery, Dataflow, Pub/Sub, and Dataproc&middot; Proficiency in Python, SQL, and data modeling techniques&middot; Experience with ETL/ELT tools and orchestration using Cloud Composer or Apache Airflow&middot; Knowledge of data lake and data warehouse best practices&middot; Understanding of IAM roles, VPCs, and GCP networking fundamentals&middot; Familiarity with CI/CD processes and tools (Cloud Build, Git, Jenkins)&middot; Experience in handling structured and unstructured data at scalePreferred Skills&middot; Experience with Apache Beam or Spark on GCP&middot; Knowledge of Looker or Data Studio for BI and reporting&middot; GCP Professional Data Engineer certification is a plus&middot; Familiarity with Kubernetes and containerized deployments on GKEJob Types: Full-time, Permanent, Contractual / Temporary, Freelance Contract length: 12 monthsPay: &#8377;70,000.00 - &#8377;80,000.00 per monthBenefits:<ul><li>Flexible schedule</li><li>Paid sick time</li><li>Paid time off</li><li>Work from home</li></ul>Application Question(s):<ul><li>What is your current and expected CTC?</li></ul>Work Location: Remote

GCP Data Engineer

Tredence

<div>Role description 
Role &ndash; GCP Staff Data Engineer
 
Experience: 8 - 13 years
 
Preferred - Data Engineering Background 
Location &ndash;Bangalore, Chennai, Hyderabad, Kolkata, Pune, Gurgaon

Job Requirement:
<ul><li> Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP</li></ul>
<ul><li> Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.</li></ul>
<ul><li> Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.</li></ul>
<ul><li> Experience programming in Java, Python, etc.</li></ul>
<ul><li> Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.</li></ul>
<ul><li> Certified in Google Professional Data Engineer/ Solution Architect is a major Advantage</li></ul>

Skills Required:
<ul><li> 8+ years&rsquo; experience in IT or professional services experience in IT delivery or large-scale IT analytics projects</li></ul>
<ul><li> Candidates must have expertise knowledge of Google Cloud Platform; the other cloud platforms are nice to have.</li></ul>
<ul><li> Expert knowledge in SQL development.</li></ul>
<ul><li> Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc).</li></ul>
<ul><li> Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.</li></ul>
<ul><li> Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.</li></ul>
<ul><li> Experience programming in Java, Python, etc.</li></ul>
<ul><li> Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)</li></ul>
<ul><li> Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.</li></ul>
<ul><li> Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutions</li></ul>
<ul><li> Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets</li></ul> 
Skills 
Required Skills - GCP DE Experience, Big query, SQL, Cloud compressor/Python, Cloud functions, Dataproc+pyspark, Python injection, Dataflow+PUB/SUB 
About Tredence 
Welcome to Tredence! Since our founding in 2013, we have been dedicated to transforming data into actionable insights, helping over 50 Fortune 500 clients win in their respective industries. With our headquarters in San Jose and a presence in 5 countries, our mission is to be the world&rsquo;s most indispensable analytics partner. At Tredence, we blend deep domain expertise with advanced AI and data science to drive unparalleled business value. We are excited to have you join us on this innovative journey.</div>

L4- GCP Staff Data Engineer

Princeton IT America

SummaryWe are looking for a skilled Azure Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions on Microsoft Azure. You will work closely with data analysts, scientists, and business stakeholders to ensure efficient data processing, storage, and access. Key Responsibilities:<ul><li>Design and develop robust and scalable data pipelines using Azure Data Factory, Databricks, and Azure Synapse Analytics</li><li>Develop and optimize ETL/ELT processes</li><li>Implement data lake and data warehouse solutions using Azure Data Lake Storage, SQL Server, and Synapse</li><li>Work with structured and unstructured data from various sources (e.g., APIs, databases, files)</li><li>Ensure data quality, integrity, and security</li><li>Collaborate with DevOps for CI/CD pipelines and version control using Azure DevOps / Git</li><li>Participate in requirements gathering, solution design, and architecture discussions</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Systems, or a related field</li><li>4+ years of experience in Data Engineering with hands-on experience in Azure cloud services</li><li>Strong knowledge of:</li><li>Azure Data Factory</li><li>Azure Data Lake (Gen1/Gen2)</li><li>Azure Synapse Analytics</li><li>Databricks / Spark</li><li>SQL </li><li>Python / PySpark</li><li>Experience with data modeling, metadata management, and performance tuning</li><li>Familiarity with Azure DevOps, Git, and CI/CD practices</li></ul>Job Type: Full-timePay: &#8377;2,000,000.00 - &#8377;3,000,000.00 per yearExperience:<ul><li>Azure: 4 years (Required)</li><li>Banking: 2 years (Required)</li></ul>Work Location: In person

Azure Data Engineer

Sennovate

Job Title: Data Engineer (Part-time / Freelance &ndash; Night Shifts)Company: Peak ConnectivityExperience: 5+ YearsLocation: Remote (Part-time / Freelance &ndash; Night Shift Availability Required)About the RolePeak Connectivity is seeking an experienced Senior Data Engineer to join our growing team on a part-time or freelance basis. The ideal candidate will bring strong expertise in Google Cloud Platform (BigQuery, Cloud Composer, Cloud Functions, Dataproc) along with experience in modern data warehousing solutions like Azure Synapse and Snowflake.You will play a key role in building, optimizing, and maintaining data pipelines and workflows while ensuring high availability, scalability, and performance.Key Responsibilities<ul><li>Design, develop, and maintain data pipelines and ETL workflows across GCP (BigQuery, Cloud Composer, Cloud Functions, Dataproc).</li><li>Work with cloud data warehouses (Snowflake, Synapse) to build efficient data models and queries.</li><li>Implement and manage CI/CD pipelines (Jenkins) for automated deployment of data solutions.</li><li>Optimize data pipelines for scalability, performance, and reliability.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.</li><li>Troubleshoot and resolve issues in production data workflows.</li><li>Ensure compliance with security and data governance standards.</li></ul>Required Skills &amp; Experience<ul><li>5+ years of experience in data engineering.</li><li>Strong hands-on expertise in Google Cloud Platform: BigQuery, Cloud Composer, Cloud Functions, Dataproc.</li><li>Proficiency in Azure Synapse and Snowflake data warehouses.</li><li>Strong programming skills in Python.</li><li>Experience with CI/CD tools (Jenkins).</li><li>Excellent problem-solving skills with the ability to work independently.</li><li>Open to part-time / freelance engagements with night shift availability.</li></ul>Preferred Qualifications<ul><li>Experience with data lake architectures.</li><li>Knowledge of orchestration and workflow management beyond Cloud Composer.</li><li>Familiarity with monitoring tools for data pipelines.</li></ul>Engagement Details<ul><li>Type: Part-time / Freelance</li><li>Shift: Night (India time zone alignment with US clients)</li><li>Duration: Ongoing staffing opportunity</li></ul>Job Types: Part-time, FreelanceBenefits:<ul><li>Flexible schedule</li><li>Work from home</li></ul>

Data Engineer

Lumiq

<div>We are seeking a highly skilled (Azure/GCP/AWS) Data Engineer to join our dynamic team. As a Data Engineer , you will play a crucial role in designing, developing, and maintaining our cloud-based data infrastructure to support our BFSI customers. You will work at the intersection of cloud technologies, data engineering, and the BFSI domain to deliver robust and scalable data solutions.
Key Responsibilities :<ul><li>Design, develop, and implement data pipelines, ETL processes, and data integration solutions.</li><li>Collaborate with cross-functional teams to understand data requirements and design scalable data models and architectures that align with BFSI industry needs.</li><li>Optimize data storage, processing, and retrieval for maximum performance and cost-efficiency in Azure cloud environments.</li><li>Implement data security and compliance measures to ensure the protection and integrity of sensitive BFSI data.</li><li>Work closely with data scientists and analysts to enable seamless access to high-quality data for analytical purposes.</li><li>Troubleshoot and resolve data-related issues, ensuring data availability and reliability for BFSI customers.</li><li>Stay updated on industry best practices, emerging cloud technologies, and trends in the BFSI sector to drive continuous improvement and innovation.</li></ul>
Qualifications :
Minimum 2 years experience as a Data Engineer with strong skills in Any Cloud, Python, SQL, Spark, Batch Ingestion and Processing.
Must Have Skills :<ul><li>Strong SQL querying skills</li><li>Strong experience in Python and Spark.</li><li>Strong experience in Batch Ingestion and Processing.</li><li>Strong experience working on Azure/GCP/AWS Cloud platform.</li><li>Experience with any Database (Postgres, MySQL, Oracle, etc.)</li></ul>
Good to Have Skills :<ul><li>Databricks</li><li>Synapse</li><li>Microsoft Fabric</li><li>Azure Certifications</li><li>Streaming and Kafka (For any future streaming use cases)</li></ul>
What Do You Get :<ul><li>Opportunity to contribute to an entrepreneurial culture and exposure to the startup hustler culture.</li><li>Competitive Salary Packages.</li><li>Group Medical Policies.</li><li>Equal Employment Opportunity.</li><li>Maternity Leave.</li><li>Opportunities for upskilling and exposure to the latest technologies.</li><li>100% Sponsorship for certification</li></ul></div>

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