cloud data engineer

<div><div><div><div>India</div>
</div><div><div>Information Technology (IT)
</div></div><div><div>Group Functions
</div></div><div><p><b>Job Reference #</b></p>
<div>327684BR</div>
</div><div><p><b>City</b></p>
<div>Pune</div>
</div><div><p><b>Job Type</b></p>
<div>Full Time
</div></div><div><p><b>Your role</b></p>
<div>Do you want to drive the next level of application architecture in the Compliance IT space? Would you like to apply Agile at scale while developing state of the art Model Deployment and Execution Platform on Cloud? How about shaping the future of Compliance technology together with a fun-loving cross-functional team?
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We are looking for a seasoned azure cloud data engineer to
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develop curated data pipeline to load, transform, egress the data on cloud.
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help us build state of the art solutions that underpin M&amp;S surveillance models and alert generation using cutting edge technologies like Scala, Spark, Databricks, Azure Data Lake, Airflow.
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demonstrate superior analytical and problem-solving skills
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demonstrate design skills and should have various design patterns knowledge
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demonstrate superior collaboration skills in working closely with other development, testing and implementation teams to roll-out important regulatory and business improvement programs</div>
</div><div><p><b>Your Career Comeback</b></p>
<div>We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.</div>
</div><div><p><b>Your team</b></p>
<div>You will be a key member of a young and expanding team that is part of the Compliance Technology function. We are a small friendly bunch who take pride in the quality of work that we do. As a team, we provide AI based solutions on top of a big data platform, working closely with peers from the business led data science team, as well as other engineering teams.</div>
</div><div><p><b>Your expertise</b></p>
<div>have a degree level education; preferably Computer Science (Bachelor or Master&rsquo;s degree)
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have 13+ years of hands-on design and development experience in several of the relevant technology areas (Scala, Azure Data Lake, Apache Spark, Airflow, Oracle/Postgres etc.)
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strong coding skills in Scala, Spark (must have) with ETL paradigms understanding
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have Agile, Test Driven Development and DevOps practices part of your DNA
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experience in developing the application using various design patterns
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experience in working in a MS Azure (added advantage)
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experience in designing the solution from scratch
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experience in working with global team
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experience in coding skills in python is an added advantage
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demonstrate strong communication skills, both to senior management and teams
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background in IB or Finance domain with good understanding of finance principles (added advantage)
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strong analytical and problem solving skills
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collaborative approach towards problem solving, working closely with other colleagues in the global team and sensitive towards diversity</div>
</div><div><p><b>About us</b></p>
<div>UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..<br>
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We have a presence in all major financial centers in more than 50 countries.</div>
</div><div><p><b>How we hire</b></p>
<div>We may request you to complete one or more assessments during the application process. Learn more</div>
</div><div><p><b>Contact Details</b></p>
<div>UBS Business Solutions SA<br>
UBS Recruiting</div>
</div><div><p><b>Disclaimer / Policy statements</b></p>
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

Azure Cloud Data Engineer

Accenture

<div><div><p>Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</p></div><p></p><div><p><b><br>
What&rsquo;s in it for you?</b></p><div><p>
&#10024;<b>Work</b><b>-Life </b><b>Balance</b><b>: </b>Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</p></div><div><p>
<b>Health</b><b> &amp; </b><b>Wellness</b><b>: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p></div><div><p>
<b>Transportation</b>: Shuttle service / Transportation support</p></div><div><p>
 <b>Financial </b><b>Benefits</b><b>: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points</p></div><div><p>
<b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p></div><div><p>
<b>Work</b><b> Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div>
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<div><p>We&rsquo;re looking for a <b>Cloud Data Engineer</b> to join our dynamic Use Case Development team. This team is responsible for building end-to-end data-driven solutions using cloud technologies and modern data platforms. From ingesting and transforming data to creating intuitive front-end interfaces, you&rsquo;ll play a key role in delivering impactful use cases that drive business value.</p><p><b><br>
What You&rsquo;ll Do</b></p><ul><li>
Design and implement scalable data pipelines and ETL processes using cloud-native tools.</li><li>
Collaborate with business stakeholders to gather requirements and translate them into technical solutions.</li><li>
Develop and maintain infrastructure as code using Terraform and AWS CDK.</li><li>
Support the full software development lifecycle (SDLC), including testing (UAT) and release.</li><li>
Work with modern data platforms and visualization tools to deliver insights.</li></ul><p></p><p><b>
Key Technologies</b></p><ul><li><b>
Cloud Platforms:</b> AWS (EMR, Glue, S3, Lambda, ECS, ECR, Kinesis, IAM, Athena, DynamoDB, CodeBuild, CloudWatch, SNS, SQS, CDK, RDS, Networking &amp; Security Groups)</li><li><b>
Data Engineering:</b> Python, PySpark, Apache Spark, Apache Iceberg, Kafka (Streaming)</li><li><b>
Infrastructure:</b> Terraform</li><li><b>
Visualization:</b> QuickSight</li><li><b>
Front-End:</b> JavaScript, TypeScript</li><li><b>
Data Platforms:</b> Palantir Foundry</li></ul><p></p><p><b>
Ideal Candidate</b></p><ul><li>
Strong experience in cloud data engineering and building production-grade pipelines.</li><li>
Proficient in Python and PySpark for data processing.</li><li>
Familiarity with AWS services and infrastructure automation.</li><li>
Experience with modern data platforms and visualization tools.</li><li>
Comfortable working across the SDLC and engaging with business stakeholders.</li></ul><div></div><div><p>
Ready to make an impact? If you are excited about working with cutting-edge technology and participating in thrilling international projects, we want to hear from you! Join Accenture and achieve your goals.</p></div><div><p><b>
#GreatPlaceToWork</b></p></div><p></p><div><p><b><br>
Apply</b><b> </b><b>Now</b><b>!</b></p></div></div>

Cloud Data Engineer – Use Case Development Team

Rapid Labs

<p><b>Cloud &amp; Data Architecture EngineerRole Purpose:</b><br/>As a Cloud &amp; Data Architecture Engineer, you will design, optimize, and maintain GAIA&rsquo;s Azure-hosted architecture. Your goal will be to ensure scalability, reliability, and seamless integration of geospatial and machine learning workflows across the organization.</p><p><b>Key Responsibilities:</b></p><ul><li>Conduct a full audit of GAIA&rsquo;s current data pipelines to identify inefficiencies and performance bottlenecks.</li><li>Architect and implement scalable, cloud-native solutions for satellite image ingestion, storage, and processing.</li><li>Ensure high availability, cost efficiency, and performance optimization of cloud systems.</li><li>Research and integrate emerging big data and geospatial architecture technologies into GAIA&rsquo;s workflows.</li><li>Work closely with DevOps and engineering teams to implement CI/CD pipelines and infrastructure-as-code practices.</li></ul><p><b>Required Skills &amp; Experience:</b></p><ul><li>Expertise with Azure (preferred), with additional experience in AWS or GCP.</li><li>Strong understanding of distributed computing frameworks and scalable data pipelines.</li><li>Experience in building architectures for geospatial systems and ML/AI integration.</li><li>Solid knowledge of DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and monitoring tools.</li><li>Ability to evaluate and implement cutting-edge cloud and data architecture strategies.</li></ul><p><b>3. Computer Vision &amp; Machine Learning EngineerRole Purpose:</b><br/>As a CV/ML Engineer, you will develop and deploy state-of-the-art machine learning models for detecting whales in satellite imagery. Leveraging transfer learning and custom computer vision architectures, you will transform prototypes into production-ready systems that advance GAIA&rsquo;s environmental monitoring mission.<b>Key Responsibilities:</b></p><ul><li>Evaluate and benchmark pretrained models for object detection on satellite imagery datasets.</li><li>Apply transfer learning, semi-supervised learning, and advanced data augmentation to improve accuracy on limited datasets.</li><li>Design and train custom computer vision architectures in PyTorch or TensorFlow.</li><li>Generate and integrate synthetic datasets to enhance model robustness.</li><li>Build end-to-end workflows from model development to deployment and monitoring in production.</li><li>Collaborate with geospatial and atmospheric correction teams to ensure seamless integration of ML outputs.</li></ul><p><b>Required Skills &amp; Experience:</b></p><ul><li>Strong expertise in computer vision, deep learning, and object detection techniques.</li><li>Hands-on experience with PyTorch and/or TensorFlow for model training and deployment.</li><li>Familiarity with satellite imagery analysis and geospatial data formats.</li><li>Experience in synthetic data generation and augmentation strategies.</li><li>Ability to transition ML models from research prototypes into production-ready systems.</li></ul><p><b>Compensation &amp; Benefits</b></p><p>This is an <b>independent contractor role</b>. We offer:</p><ul><li><b>Competitive, market-based compensation</b> aligned with expertise and experience.</li><li><b>Remote and flexible working arrangements</b>.</li><li>Opportunities for <b>long-term collaboration</b> on advanced geospatial and AI-driven projects.</li><li>Exposure to <b>cutting-edge cloud and big data technologies</b> in Azure, AWS, and GCP environments.</li><li>A chance to shape the <b>future of GAIA&rsquo;s cloud and data architecture strategy</b>.</li></ul><p>Job Type: Contract</p><p>Work Location: Remote</p>

Cloud & Data Architecture Engineer

Galaxy3 IT

<p><b>About the Role</b></p><p>We are seeking a motivated Data Engineer to join our growing technology team. You will be responsible for maintaining our database systems, contributing to the design of our data architecture, and developing effective data models. The ideal candidate will have a foundational understanding of database administration, data modeling principles, and modern cloud architecture. This is a fantastic opportunity to develop a diverse skill set and make a significant impact on our data strategy.</p><p><b>Key Responsibilities</b></p><ul><li>Perform routine database maintenance, including backups, restores, and performance tuning to ensure system availability and reliability.</li><li>Manage user access, security protocols, and permissions to safeguard our data assets.</li><li>Monitor database performance, troubleshoot issues, and provide timely support to internal teams.</li><li>Data Architecture &amp; Modeling:</li><li>Assist in the design, development, and implementation of data models (conceptual, logical, physical) to meet business requirements.</li><li>Contribute to the evolution of our cloud-based data architecture, ensuring it is scalable, efficient, and secure.</li><li>Help create and maintain documentation for data standards, data dictionaries, and architectural blueprints.</li><li>Support data integration tasks between various on-premise and cloud systems (e.g., AWS, Azure).</li><li>Work with senior team members to deploy and manage database solutions within our cloud environment.</li><li>Ensure data integrity and consistency across all platforms</li></ul><p>Qualifications</p><ul><li>1-2 years of hands-on experience in a data engineer-related role.</li><li>Strong proficiency in SQL for querying, manipulation, and definition.</li><li>Hands-on experience with at least one major relational database management system (RDBMS) like PostgreSQL, SQL Server, or MySQL.</li><li>Familiarity with data modeling concepts and tools (e.g., Erwin, Lucidchart, draw.io).</li><li>A solid understanding of cloud computing concepts and experience with at least one major cloud platform (AWS or Azure).</li><li>Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus.</li><li>Excellent problem-solving and analytical abilities.</li><li>Strong communication skills, with the ability to explain technical concepts to non-technical audiences.</li><li>A keen eye for detail and a commitment to data quality.</li><li>A proactive and collaborative mindset with a strong desire to learn and grow.</li><li>Mandarin is required</li></ul><p>Job Type: Full-time</p><p>Pay: From $70,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Health insurance</li><li>Paid time off</li></ul><p>Work Location: In person</p>

Database Engineer

MetLife

<div><div><div><div><div><div>Country
</div><div>India
</div></div><div><div>Working Schedule
</div><div>Full-Time
</div></div><div><div>Work Arrangement
</div><div>Hybrid
</div></div><div><div>Relocation Assistance Available
</div><div>No
</div></div><div><div>Posted Date
</div><div>15-Sep-2025
</div></div><div><div>Job ID
</div><div>12094
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><div><div><div><div><div><b>Position Summary</b></div></div></div></div><div><div><div><div><br>
MetLife established a Global capability center (MGCC) in India to scale and mature Data &amp; Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect &amp; build MetLife IP, promote reusability and drive experimentation and innovation. The Data &amp; Analytics team in India mirrors the Global D&amp;A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights</div></div><div></div><div><div><b><br>
Role Value Proposition</b></div></div><div><div>
MetLife Global Capability Center (MGCC) is looking for a Senior Cloud data engineer who has the responsibility of building ETL/ELT, data warehousing and reusable components using Azure, Databricks and spark. He/She will collaborate with the business systems analyst, technical leads, project managers and business/operations teams in building data enablement solutions across different LOBs and use cases.</div></div></div></div><div><div><div><div><b><br>
Job Responsibilities</b></div></div></div></div><div><div><div><br>
<ul><li>
Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ETL) processes</li><li>
Develop metadata and configuration based reusable frameworks to reduce the development effort</li><li>
Develop quality code with integral performance optimizations in place right at the development stage.</li><li>
Collaborate with global team in driving the delivery of projects and recommend development and performance improvements.</li><li>
Extensive experience of various databases types and knowledge to leverage the right one for the need.</li><li>
Strong understanding of data tools and ability to leverage them to understand the data and generate insights</li><li>
Hands on experience in building/designing at-scale Data Lake, Data warehouses, data stores for analytics consumption On prem and Cloud (real time as well as batch use cases)</li><li>
Ability to interact with business analysts and functional analysts in getting the requirements and implementing the ETL solutions.</li></ul></div></div></div><div></div><div><div><div><div><b><br>
Education, Technical Skills &amp; Other Critical Requirement</b></div></div></div></div><div><div><div><div><b><br>
Education</b></div></div></div><div><div><div><br>
Bachelor&rsquo;s degree in computer science, Engineering, or related discipline</div></div></div></div><div><div><div><div><b><br>
Experience</b></div></div><div><div><i>
(In Years)</i></div></div></div><div><div><div><br>
 8 to 10 years of working experience on Azure Cloud using Databricks or Synapse</div></div></div></div><div><div><div><div><b><br>
Technical Skills</b></div></div></div><div><div><ul><li><div><br>
Experience in transforming data using Python, Spark or Scala</div></li></ul></div><div><ul><li><div>
Technical depth in Cloud Architecture Framework, Lakehouse Architecture and One Lake solutions.</div></li></ul></div><div><ul><li><div>
Experience in implementing data ingestion and curation process using Azure with tools such as Azure Data Factory, Databricks Workflows, Azure Synapse, Cosmos DB, Spark (Scala/python), Data bricks.</div></li></ul></div><div><ul><li><div>
Experience in cloud optimized code on Azure using Databricks, Synapse dedicated SQL Pool and serverless Pools, Cosmos, SQL APIs loading and consumption optimizations.</div></li></ul></div><div><ul><li><div>
Scripting experience primarily on shell/bash/PowerShell would be desirable.</div></li></ul></div><div><ul><li><div>
Experience in writing SQL and performing data analysis skills for data anomaly detection and data quality assurance.</div></li></ul></div></div></div><div><div><div><div><b><br>
Other </b><b>Preferred Skills</b></div></div></div><div><div><ul><li><div><br>
Expertise in Python and experience writing Azure functions using Python/Node.js</div></li></ul></div><div><ul><li><div>
Experience using Event Hub for data integrations.</div></li></ul></div><div><ul><li><div>
Required working knowledge of Azure DevOps pipelines</div></li></ul></div><div><ul><li><div>
Self-starter and ability to adapt with changing business needs</div></li></ul></div></div></div></div><br>
<div></div>
</div></div></div></div></div><div><div><div><div><div><b>About MetLife</b><div></div><div><br>
Recognized on<i> Fortune magazine's list of the 2025 &quot;World's Most Admired Companies&quot; and Fortune World&rsquo;s 25 Best Workplaces&trade; for 2024, </i>MetLife<i>,</i> through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.</div><div><br>
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible. Join us!</div></div></div></div></div></div></div>

Senior Big Data Engineer - I

mlops solutions

<p>Job Description &ndash; AWS Data Engineer</p><p>Location: Hyderabad / Bangalore<br/>Job Type: Contract | Work from Office (Hybrid)<br/>Experience: 5+ Years<br/>Work Mode: 5 Days (Mon&ndash;Fri)<br/>Shift Timings: 12:30 PM &ndash; 9:30 PM IST</p><p>About the Role</p><p>We are looking for an experienced AWS Data Engineer with strong expertise in AWS Glue, PySpark, SQL, and Python. This is a contract-based hybrid role where you will be responsible for designing, developing, and maintaining scalable data pipelines in a cloud-native environment.</p><p>Key Responsibilities</p><ul><li>Design, develop, and optimize ETL pipelines using AWS Glue and PySpark.</li><li>Perform data transformations, automation, and performance tuning using SQL and Python.</li><li>Build and implement scalable cloud-native data solutions in AWS.</li><li>Collaborate with data scientists, analysts, and architects to support business requirements.</li><li>Ensure data quality, governance, compliance, and performance within an ODC environment.</li></ul><p>Must-Have Skills</p><ul><li>5+ years of hands-on experience with:</li><li>AWS Glue</li><li>PySpark</li><li>SQL</li><li>Python</li></ul><p>Good-to-Have Skills</p><ul><li>Kafka &ndash; Preferred (not mandatory)</li><li>Kinesis &ndash; Added advantage (not required)</li></ul><p>Work Mode &amp; Contract Details</p><ul><li>Engagement Type: Contractual</li><li>Location: Hyderabad / Bangalore</li><li>Mode: Hybrid (part office, part remote)</li><li>Working Days: 5 Days (Mon&ndash;Fri)</li><li>Duration: [Specify &ndash; 6/12 months, extendable]</li></ul><p>Ideal Candidate Profile</p><ul><li>Strong hands-on cloud-based data engineering skills.</li><li>Excellent problem-solving, debugging, and optimization expertise.</li><li>Comfortable working in a hybrid 5-day setup.</li><li>Strong communication and collaboration skills.</li></ul><p>How to Apply</p><p>Share your CV with the subject line:<br/>Application &ndash; AWS Data Engineer (Hybrid | Contract)<br/>Email: chandu.t@mlopssol.com</p><p>Job Type: Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: &#8377;511,159.50 - &#8377;1,860,422.66 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul>

AWS Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
You&rsquo;re ready to gain the skills and experience needed to grow within your role and advance your career &mdash; and we have the perfect software engineering opportunity for you.</p><p>
</p><p>As a Software Engineer II - Databricks Engineer + Python programing at JPMorgan Chase within the Commercial &amp; Investment Bank Team, you'll serve as a seasoned member of an agile team to deliver trusted market-leading Data Engineering Solutions and Data products in a secure, stable, and scalable way. You'll be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job Responsibilities:</b></p><ul><li>
Implement Databricks integration and interoperability with other cloud providers such as AWS, Azure, GCP, Snowflake, Immuta, and OpenAI.</li><li>
Collaborate with data scientists, analysts and business stakeholders to understand requirements and deliver solutions.</li><li>
Develop and maintain data product interfaces, data contracts, and governance frameworks.</li><li>
Monitor and optimize the performance and scalability of data products and infrastructure.</li><li>
Provide training and support to domain teams on data mesh principles and cloud data technologies.</li><li>
Stay up-to-date with industry trends and emerging technologies in data mesh and cloud computing.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills :</b></p><p>
</p><ul><li>Formal training or certification on software engineering concepts and 2+ years applied experience</li><li>
Applied experience in Data Engineering space using enterprise tools, home grown frameworks and speciality in Databricks implementation from start to end.</li><li>
Experience with multiple cloud platforms such as AWS, Azure, Google Cloud, Databricks, and Snowflake.</li><li>
Experience in Python programing is must</li><li>
Experience as a Databricks Engineer in an enterprise environment.</li><li>
Hands-on practical experience delivering application development, testing, and operational stability</li><li>
Deep working knowledge in SQL, Apache Spark, Delta Lake, DLT and other big data technologies</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills:</b></p><ul><li>
Experience with Core Java is preferred</li><li>
Certification in Databricks data engineer associate/professional is nice to have</li><li>
Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred.</li></ul>
<b>ABOUT US</b></div>

Software Engineer II - Databricks Engineer + Python programing

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