data integration engineer

Accenture

Project Role : Data Platform Engineer 
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
 
Must have skills : Microsoft Azure Data Services 
Good to have skills : Microsoft SQL Server, Microsoft Azure Databricks, Microsoft Fabric 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be responsible for analyzing data requirements and implementing solutions that align with the overall data strategy, ensuring that the data platform meets the needs of the organization effectively. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with the latest data platform technologies and methodologies. - Assist in the documentation of data architecture and design decisions to facilitate knowledge sharing within the team. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services. - Good To Have Skills: Experience with Microsoft Fabric, Microsoft SQL Server, Microsoft Azure Databricks. - Strong understanding of data integration techniques and best practices. - Experience with data modeling and database design principles. - Familiarity with cloud computing concepts and services. Additional Information: - The candidate should have minimum 3 years of experience in Microsoft Azure Data Services. - This position is based at our Hyderabad office. - A 15 years full time education is required.
 
15 years full time education

Data Platform Engineer

Enable Data

Enable Data Incorporated is currently seeking a skilled and experienced Azure Data Engineer to join our dynamic team. As a leading provider of advanced application, data, and cloud engineering services, Enable Data has developed deep expertise across various industries. We work closely with our customers to leverage modern solutions and technologies to drive increased value across their business ecosystem.
 As an Azure Data Engineer, you will play a crucial role in designing, building, and maintaining scalable and reliable data solutions on the Microsoft Azure platform. You will work closely with cross-functional teams to understand data requirements, design and implement data ingestion pipelines, perform data integration and transformation, and implement data storage and retrieval mechanisms. You will also be responsible for monitoring data pipelines and implementing data quality and governance measures.
 This is an exciting opportunity for a talented Data Engineer who is passionate about working with Azure technologies and wants to contribute to the success of our clients. If you have strong technical skills, a deep understanding of data engineering principles, and hands-on experience with Microsoft Azure, we would love to hear from you.
 
Responsibilities: 
<ul>
<li>Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform.</li>
<li>Collaborate with cross-functional teams to gather and analyze data requirements.</li>
<li>Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.</li>
<li>Perform data integration and transformation activities, ensuring data quality and consistency.</li>
<li>Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.</li>
<li>Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.</li>
<li>Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy.</li>
<li>Collaborate with data scientists and analysts to support their data needs and enable data-driven insights.</li>
</ul>
Requirements: 
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>5+ years of experience with Big Data technologies</li>
<li>Strong knowledge and experience with Microsoft Azure cloud platform</li>
<li>Proficiency in SQL and experience with SQL-based database systems.</li>
<li>Experience with batch and data streaming.</li>
<li>Proficiency in data processing frameworks such as Apache Spark, Apache Hadoop, or cloud-native data processing services (Azure Data Lake, Azure Data factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB)</li>
<li>Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.</li>
<li>Experience using Azure Databricks in real-world scenarios.</li>
<li>Experience with data integration and ETL (Extract, Transform, Load) processes.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Good understanding of data engineering principles and best practices.</li>
<li>Experience with programming languages such as Python or Scala.</li>
<li>Relevant certifications in Azure data services or data engineering are a plus.</li>
</ul>

Azure Data Engineer

RECRUITMENT SMART TECHNOLOGIES

Job Title: Data Engineer Location: AHMEDABADKey Responsibilities: <ul><li>Design, develop, and maintain ETL pipelines: Efficiently extract, transform, and load (ETL) large datasets from various data sources to the data warehouse or data lakes.</li><li>Build and optimize data transformation workflows: Work closely with data scientists, analysts, and software engineers to design data pipelines that handle large volumes of structured and unstructured data.</li><li>Data representation and UI integration: Implement data visualization solutions using tools and techniques (e.g., GraphQL or similar) for a drag-and-drop interface, enabling non-technical users to access and manipulate data.</li><li>Collaborate with cross-functional teams: Work with front-end engineers, backend developers, and product managers to ensure smooth integration of data systems into customer-facing applications.</li><li>Monitor and maintain data pipeline performance: Continuously improve data flow, ensuring high availability, consistency, and integrity.</li><li>Ensure data security and compliance: Implement security best practices and ensure compliance with data privacy regulations.</li></ul>Key Qualifications: <ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>5+ years of experience working with ETL pipelines, data transformation, and processing large datasets.</li><li>Proficiency in ETL tools (e.g., Apache Airflow, Talend, Informatica, etc.) and strong experience with SQL and NoSQL databases.</li><li>Experience with cloud platforms (AWS, GCP, Azure) for building and scaling data pipelines.</li><li>Experience with GraphQL or similar API-based querying languages.</li><li>Proficiency in data visualization tools and libraries.</li><li>Familiarity with drag-and-drop UI/UX principles and ability to integrate data-driven interfaces for users.</li><li>Strong programming skills in Python, Java, Scala, or similar.</li><li>Solid understanding of data warehousing and big data technologies.</li><li>Good problem-solving skills and the ability to think critically about data flow and architecture.</li><li>Ability to work independently and as part of a team in a fast-paced environment.</li></ul>Preferred Qualifications: <ul><li>Experience with machine learning or data science workflows.</li><li>Familiarity with real-time data processing (e.g., Apache Kafka, Flink).</li><li>Knowledge of CI/CD practices and DevOps.</li></ul>Job Types: Full-time, PermanentPay: ₹1,000,000.00 - ₹1,400,000.00 per yearAbility to commute/relocate:<ul><li> Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Current CTC</li><li>Expected CTC</li><li>Notice Period</li><li>Reason for Change</li></ul>

Data Engineer

Living Stones Group

MDM ENGINEER (Healthcare)Type: Full-time, 6-month contract (This is an in-person office-based position with optional/per request business trips to Saudi Arabia)Are you passionate about Master Data Management (MDM) and its role in transforming healthcare? Join our innovative team to build cutting-edge solutions that redefine the future of health data. We are looking for a MDM Engineer who thrives on solving complex problems, loves working with data, and is eager to make a real-world impact in the healthcare domain.Responsibilities● Understanding of MDM processes● Collaborate with cross-functional teams to integrate data from various sources, ensuring consistency and accuracy.● Optimize MDM processes to improve data quality, governance, and security.● Ensure compliance with healthcare regulations (e.g., HIPAA, GDPR) for sensitive data management.● Troubleshoot and resolve data integration and performance issues.● Monitor and improve MDM systems to meet business and technical needs.● Design, develop, and maintain scalable MDM solutions tailored to healthcare applications.Requirements● Must skill: 3+ years of hands-on experience with MDM tools (e.g., Informatica MDM, Reltio, Profisee, IBM InfoSphere).● Must skill: Strong understanding of data modeling, data integration, and ETL processes.● Experience working with healthcare data (e.g., FHIR, HL7, EHR systems).● Scripting languages: Python, SQL, Javascript, Clojure, YAML.● Solid knowledge of data governance and compliance in healthcare.● Familiarity with cloud platforms and data pipelines.● Excellent problem-solving skills and attention to detail.● Strong communication and teamwork skills.● English - Upper intermediate, Arabic - Advanced.What We Offer:● Competitive salary rate depending on your experience and skills● Challenging tasks and ability to improve professional knowledge and skills.● A team where your feedback is appreciated● Office in CairoWhy You&rsquo;ll Love Working With Us● Impact: Your work will directly contribute to improving healthcare systems and saving lives.● Innovation: Be part of a team that pushes the boundaries of data management in healthcare.● Connection: Join a company where collaboration and teamwork are key.If you&rsquo;re ready to take on the challenge of revolutionizing healthcare, we&rsquo;d love to hear from you!Apply now people@livingstones.groupand let&rsquo;s create a healthier future together.Job Type: Contract Contract length: 6 months

Master Data Management (MDM) ENGINEER (Health)

Constructor

<div><h3 class="jobSectionHeader">About the Position</h3>
Founded in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
As an Integration Engineer on the Customer Data Integrations team, you will improve the e-commerce experience for millions of shoppers by building monitoring tools that ensure reliable, high-quality integrations with Constructor&rsquo;s platform. You&rsquo;ll also support successful customer launches through hands-on technical guidance and collaboration. The responsibilities include:<ul>
<li>
Acting as a technical partner to customers during onboarding and integration, providing guidance through calls and hands-on collaboration</li>
<li>Building and maintaining internal tools that improve visibility into customer integrations, including dashboards and systems that surface data quality and integration health</li>
<li>Evolving our event tracking to ensure the reliable and scalable data collection that powers our AI algorithms</li>
<li>Improving documentation, training materials, and developer resources for both customers and internal teams</li>
<li>Supporting customers asynchronously by troubleshooting issues, reviewing implementations, and validating data quality while proactively monitoring integration health</li>
<li>Collaborating with integration-focused teams to identify recurring integration challenges and develop scalable solutions</li>
<li>Partnering with Product, Customer Success, and other engineering teams to shape the future of customer integrations</li>
</ul><h3 class="jobSectionHeader">How We Work</h3><ul>
<li>Remote-first - work from anywhere</li>
<li>Bi-weekly sprints/retros and daily stand-ups - Lightweight processes that favor rapid continuous development</li>
<li>High trust, low ego culture focused on outcomes over hours</li>
<li>Continuous learning encouraged through an annual learning stipend and peer mentorship</li>
</ul>
Requirements<ul>
<li>
Minimum two years of professional and/or academic experience in software engineering</li>
<li>Proficiency in building applications using React and Node based technologies (TypeScript experience is a plus!)</li>
<li>Solid understanding of front-end fundamentals such as DOM parsing/manipulation and browser debugging</li>
<li>Familiarity with building either dashboards, monitoring systems, data visualization tools, or event instrumentation 
Bonus points for experience with tools for querying, managing, or analyzing data (e.g., OpenSearch, ClickHouse, SQL)
</li><li>Strong communication and interpersonal skills, with enthusiasm for working directly with customers and collaborating across teams</li>
<li>Comfortable troubleshooting complex issues, validating data quality, and translating customer feedback into scalable solutions</li>
<li>Motivated by continuous learning and enjoys solving novel technical problems in dynamic environments</li>
<li>Ability to support customers and team members between PST and GMT+1 time zones</li>
</ul>
Benefits
<ul><li>️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>
<li> Fully remote team - choose where you live</li>
<li>️ Work from home stipend! We want you to have the resources you need to set up your home office</li>
<li> Apple laptops provided for new employees</li>
&zwj;<li> Training and development budget for every employee, refreshed each year</li>
<li> Maternity &amp; Paternity leave for qualified employees</li>
<li> Work with smart people who will help you grow and make a meaningful impact</li>
<li> This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.</li>
<li> Regular team offsites to connect and collaborate</li>
</ul>
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don&rsquo;t meet all of our listed qualifications.</div>

Integration Engineer: Customer Data Integrations (Remote)

MP Materials

<div>Company Overview:
MP Materials (NYSE: MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification.
We are the only U.S. company with a fully integrated rare earth supply chain&mdash;from mining and refining to advanced metal and magnet manufacturing. Our products include both the critical materials used to make permanent magnets and the finished magnets themselves&mdash;enabling next-generation technologies in robotics, automation, aerospace, transportation, defense, and energy systems. These materials are the foundation of physical AI&mdash;the convergence of computation, movement, and control.
We hire ambitious, mission-driven people who want to tackle complex challenges and shape the future of strategic industries. Our culture is rooted in teamwork, resiliency, and integrity, with a deep commitment to operational excellence and national purpose. MP is rapidly evolving from a materials producer into a leading U.S. manufacturer&mdash;and our people are driving that transformation.
Position Overview:
The Data Engineer will design, build, and operationalize high-quality data pipelines and data products that integrate OT (Operational Technology) and IT (Information Technology) sources. This role partners closely with business stakeholders and data stewards to enable analytics, reporting, and AI use cases across domains such as Mining, manufacturing, Operations, Supply Chain, HR and Finance. Incidental travel may be required for collaboration and on-site system understanding.
Position Responsibilities:<ul><li>
Design and implement data ingestion, transformation, and curation pipelines across OT and IT sources (e.g., AVEVA PI, SAP, SQL Server, Azure Synapse/Fabric, MS 365).</li><li>
Build reusable, governed data products in Microsoft Fabric /Synapse, Azure Data Factory for domain[1]specific analytics.</li><li>
Work with business data owners to translate use-case requirements into robust data models.</li><li>
Implement data quality monitoring, lineage tracking, and semantic documentation to align with governance standards.</li><li>
Collaborate with Data Platform Engineers and infrastructure teams to optimize pipeline performance, storage, and compute usage.</li><li>
Support self-service analytics through curated datasets and Power BI semantic models.</li><li>
Document technical designs, lineage, and business logic for data products.</li><li>
Contribute to data security and controlled access patterns in coordination with governance frameworks.</li><li>
Participate in sprint ceremonies and agile delivery of data solutions.</li><li>
Other duties as assigned.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s / Master&rsquo;s in Computer Science, Information Systems, or related field.</li><li>
3+ years of experience in data engineering (5+ preferred), ideally in Azure cloud environments. Proficiency with SQL, Python, PySpark, and data-modeling concepts.</li><li>
Experience with Microsoft Fabric, Azure Synapse, Azure Data Factory.</li><li>
Experience with Azure cloud service: Compute, Database, Integration, Storage, Security, DevOps.</li><li>
Familiarity with industrial / OT data systems (e.g., AVEVA PI System, SCADA, historian data).</li><li>
Knowledge of data governance and lineage tools (e.g., Microsoft Purview).</li><li>
Strong collaboration and communication skills to work with both business and technical stakeholders.</li></ul>
Desired Qualifications:<ul><li>
Experience in building domain-oriented data products or working within a data mesh architecture.</li><li>
Experience with Azure cloud service: Compute, Database, Integration, Storage, Security, DevOps.</li><li>
Exposure to Power BI, Databricks, or Snowflake.</li><li>
Experience with CI/CD for data pipelines using Azure DevOps or GitHub Actions.</li><li>
Industrial, energy, or manufacturing domain knowledge.</li></ul>
MP Materials is Proud to be an Equal Opportunity / Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Underrepresented groups/Women/Disabled/Veterans are encouraged to apply. Candidates whose disabilities make them unable to meet the position&rsquo;s requirements will still be considered qualified if they can perform the essential functions of the job with reasonable accommodation.
Your Right to Work &ndash; In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment verification document form upon hire.
For Assistance with Application - Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact Human Resources Department at 702-844-6111; dial 7 when prompted for HR; 1700 South Pavilion Center Dr. 8th Floor, Las Vegas, NV 89135 to discuss reasonable accommodation.</div>

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