data management engineer

Valleysoft

<p></p><div><p>Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.</p><p></p><p>
Valleysoft | Center of Excellence is on the lookout for a skilled Data &amp; ML Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing data solutions and machine learning models that enable our clients to derive actionable insights from their data.</p><p>
The ideal candidate will have a strong background in data engineering and machine learning, with experience in creating robust data pipelines and deploying machine learning models in production. You should be comfortable working collaboratively in a fast-paced environment and possess a passion for leveraging data to solve complex problems. If you are ready to take your career to the next level, we want to hear from you!</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul>
<li>Design, develop, and maintain scalable data processing pipelines and workflows for data ingestion and transformation.</li>
<li>Collaborate with cross-functional teams to gather data requirements and implement ETL processes.</li>
<li>Develop, train, and optimize machine learning models based on business needs and available data.</li>
<li>Ensure data quality, consistency, and accessibility throughout data life cycles.</li>
<li>Monitor and troubleshoot data pipelines and machine learning models to optimize performance.</li>
<li>Stay abreast of industry trends, tools, and technologies relevant to data engineering and machine learning.</li>
<li>Document processes and provide training on data engineering and machine learning practices.</li>
<li>Integrate machine learning solutions into existing applications and systems.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.</li>
<li>Proven experience as a Data Engineer or Machine Learning Engineer.</li>
<li>Strong programming skills in Python, Java, or similar languages.</li>
<li>Solid understanding of machine learning algorithms, data pipelines, and data processing frameworks.</li>
<li>Relevant experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).</li>
<li>5 years of relevant experience in data engineering and machine learning.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication and collaboration skills, with the ability to work in a team-oriented environment.</li>
<li>Experience with containerization tools (e.g., Docker) and orchestration systems (e.g., Kubernetes) is a plus.</li>
<li>Relevant certifications in data engineering or machine learning (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are preferred.</li>
<li>Understanding of data governance and privacy regulations is desirable.</li>
<li>Experience with version control systems (e.g., Git) is a plus.</li>
<li>Understanding of National Information Exchange Model (NIEM) is preferred.</li>
<li>Experience with Dublin Core Metadata is preferred.</li>
</ul><p><b>Skills:</b></p><ul>
<li>Strong understanding of data engineering principles and machine learning workflows.</li>
<li>Ability to design and implement efficient data pipelines and machine learning solutions.</li>
<li>Excellent analytical and problem-solving capabilities.</li></ul></div>

Data & ML Engineer1

Kraft Heinz

<p></p><div><div><div><div><div><div><div><div><div><ul><div><b>All Posting Locations:</b> Ahmedabad, Gujarat, IN
</div><div><b>Job Functions:</b> Global Business Services</div>
<div><b>Date Published:</b> October 23, 2025</div>
<div><b>Ref#:</b> R-97553</div></ul><div></div><div><br>
</div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div>ABOUT THE ROLE</div></div><div><div>
Job Description</div>
<div>GBS Analytics COE &ndash;Data Engineer<br>
About the Position<br>
We have an excellent opportunity available for a Data Engineer to make a difference at Kraft Heinz. The Data Engineer role lies within the newly created Analytics Centre of Excellence within the Global Business Services organization. The Analytics COE has been set up to build, maintain and enhance analytical products for our business to generate actionable insights from data and make better informed decisions. The individual for this position will be a technical expert providing leadership and expertise in the areas of data management, data quality, data governance, and data engineering. They will provide hands-on design, preparation, and development of data solutions for analytical products. They will work with internal stakeholders to translate business problems into data requirements and then create the data solutions to enable the development of analytical tools.<br>
Key Responsibilities<br>
<ul><li>Design, deliver and maintain the appropriate data solution to provide the correct data for analytical development to address key issues within the organization.</li><li>Gather detailed data requirements and collaborate with a cross-functional team to deliver high quality results (such as Tableau developers, analysts, business users).</li><li>Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.</li><li>Contribute to generic frameworks for data ingestion, data processing, and data integrations per business requirements.</li><li>Extend DevOps capabilities for deploying data solutions.</li><li>Supports creation and adoption of data assets for the organization, putting data quality as the focus of all data solutions.</li><li>Act as a data owner and functional data SME for the assigned area.</li></ul>
&bull; Lead the coaching of all junior data engineering resources. &bull; Ensure effective and timely delivery of project work, raising issues and risks in a timely manner to project manager to ensure appropriate actions can be taken to mitigate. &bull; Ensure effective and timely delivery of project work. &bull; Enforce best practices for data design, architecture, and implementation.<br>
Qualifications &amp; Experience<br>
<ul><li>Bachelor&rsquo;s Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field (Master&rsquo;s degree preferred)</li><li>5+ years of experience in delivering and supporting data engineering capabilities and building enterprise data solutions and data assets</li><li>Strong experience with cloud services within Azure, AWS, or GCP platforms (preferably Azure)</li><li>Strong experience with analytical tools (preferably SQL, dbt, Snowflake, BigQuery, Tableau)</li><li>Experience with design and software programming development (preferably Python, Javascript and/or R)</li><li>Experience building APIs (experience with GraphQL is a plus)</li><li>Hands-on experience with DevOps and CI/CD processes</li><li>Experience in Agile methodologies (certifications preferred)</li><li>Project management experience and strong communication skills</li><li>Self-Starter, driven with high business process acumen</li><li>Team Player with a positive attitude and ability to work across different business stakeholder and technical teams to accomplish complex tasks</li></ul>
Professional Attributes<br>
<ul><li>Communication Skills</li></ul>
o At Kraft Heinz you&rsquo;ll easily be exposed to senior management, no matter your level. Therefore, it&rsquo;s important you have excellent communication skills, to deal with all kinds of different stakeholders. &bull; Analytical o We&rsquo;re a very data driven company. You know how to translate complex data into a simple solution with your analytical mindset.<br>
<ul><li>Curiosity, positivity &amp; enthusiasm</li></ul>
o You&rsquo;re curious, positive and enthusiastic. People know you as the driver of the team.<br>
<ul><li>Project management skills</li></ul>
o Time management has no secrets for you. You&rsquo;re organized, structured and always have an overview of all the deliverables. You know how to bring multiple projects to a successful ending within the given timeframe.<br>
<ul><li>Team player</li></ul>
o Achieving results is nice, but achieving results with the team is simply the best. You&rsquo;re a team player, which means you&rsquo;re sometimes a leader, sometimes a follower but always working towards the same common goal together with your teammates.<br>
What we offer you<br>
<ul><li>An ambitious employer; we only want to the best for you;</li><li>A fast career track like only few other companies can match;</li><li>A competitive salary</li><li>Always room for new ideas; if you have an excellent idea, please let us know and we can set it in action!</li></ul></div>
<div>Location(s)</div>
<p>Ahmedabad &ndash; Mondeal Heights &ndash; GBS Center</p><p><br>
</p><p><b>Kraft Heinz is an Equal Opportunity Employer &ndash; Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes</b><b>.</b></p></div></div></div></div></div></div>

Data Engineer I, Global GBS - DIPP

Kenvue

<div><div><div><div><div><div><div><div><p>Kenvue is currently recruiting for a:</p></div></div></div></div></div></div></div>
Data Migration Engineer &acirc;&euro;&ldquo; Archiving Service<p></p><p><b>
What we do</b></p><p>
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.</p><p></p><p><b>
Who We Are</b></p><p>
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.</p><p></p><p><b>
Role reports to:</b></p>
Archiving Service Owner<p></p><p><b>
Location:</b></p>
Asia Pacific, India, Karnataka, Bangalore<p></p><p><b>
Work Location:</b></p>
Hybrid<p></p><p><b>
What you will do</b></p><p>
Job Description</p><p><br>
We are excited to announce an opening for Senior Analyst at Kenvue.<br>
Please find below the details of the role and its responsibilities.</p><p><br>
Skills Required:<br>
AWS Glue, Airbyte, Lambda</p><p><br>
Experience Range:<br>
3 - 5 years</p><p><br>
Job Description:<br>
Job Title: Data Migration Engineer &ndash; Archiving Service<br>
Location: Kenvue India</p><p></p><p>
Job Type: Full-time<br>
Experience: 3 years</p><p></p><div>
About Kenvue:<br>
Kenvue is a global leader in consumer health, dedicated to providing innovative solutions<br>
that enhance the well-being of individuals and families. Our commitment to quality and<br>
excellence drives us to seek passionate professionals who are eager to make a<br>
difference.<br>
Job Summary:<br>
We are seeking an experienced Data Migration Engineer who will be responsible for<br>
migrating data from structured data sources such as Informatica ILM to Amazon S3 in<br>
Parquet file format, while ensuring the retention of all relevant metadata. The candidate<br>
will also manage the migration of data from Azure Blob Storage to Amazon S3 buckets.<br>
The ideal candidate will have a strong background in data migration, experience with<br>
Airbyte and other ETL tools, and familiarity with AWS components.<br>
Key Responsibilities:<br>
<ul><li>Design, execute, and manage data migration strategies to move data from Informatica</li></ul>
ILM to Amazon S3 in Parquet format, ensuring data integrity and metadata retention.<br>
<ul><li>Perform data migration from Azure Blob Storage to Amazon S3 buckets, ensuring</li></ul>
optimal performance and minimal downtime.<br>
<ul><li>Utilize Airbyte for ETL processes, configuring connectors, and implementing data</li></ul>
pipelines for efficient data extraction, transformation, and loading.<br>
<ul><li>Collaborate with cross-functional teams to gather requirements and ensure data</li></ul>
migration aligns with business objectives.<br>
<ul><li>Monitor and troubleshoot data migration processes, ensuring timely resolution of any</li></ul>
issues that arise.<br>
<ul><li>Document migration processes, data mappings, and transformations for compliance</li></ul>
and future reference.<br>
<ul><li>Stay updated on best practices and emerging technologies in data migration and cloud</li></ul>
services.<br>
Qualifications:<br>
<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>3+ years of experience as a Data Migration Engineer or in a similar role.</li><li>Proven experience with Airbyte and other ETL tools (e.g., Informatica, AWS Glue or</li></ul>
Airflow).<br>
<ul><li>Strong hands-on experience with AWS components, particularly S3, Lambda, Glue</li></ul>
and IAM.<br>
<ul><li>Familiarity with Azure Blob Storage and its integration with AWS services.</li><li>Experience with data formats such as Parquet and a strong understanding of data</li></ul>
modeling principles.<br>
<ul><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills to work effectively in a team</li></ul>
environment.</div><p></p><p><br>
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.</p></div>

Data Migration Engineer â€“ Archiving Service

Accenture

<p><b>Project Role : </b>Data Platform Engineer<br>
<b>Project Role Description : </b>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.
<br>
<b>Must have skills : </b>Databricks Unified Data Analytics Platform<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
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 enhance the overall data architecture strategy. Job Title: Generative AI Engineer Job Description: We are seeking a Generative AI Engineer with 3.5+ years of experience to work with cutting-edge AI technologies, including RAG (Retrieval-Augmented Generation), Agentic AI, and transformer-based architectures, along with strong Python programming skills, to design, implement, and optimize AI-driven data solutions. Roles &amp; Responsibilities: Design and implement AI-powered data pipelines leveraging RAG models and transformers for advanced knowledge retrieval and generation tasks. Utilize LangChain, LangGraph, and other frameworks to build and integrate intelligent workflows and conversational agents. Develop Agentic AI solutions to create autonomous, goal-driven agents that interact with dynamic environments and data. Optimize data storage, processing, and retrieval techniques for large-scale AI platforms. Engineer prompt structures for optimized performance in generative AI tasks, including natural language processing (NLP) and multimodal applications. Ensure robust data privacy and security measures are in place for all AI-driven systems. Continuously monitor, troubleshoot, and enhance AI system performance. Collaborate with cross-functional teams (e.g., Data Scientists, Engineers) to integrate generative AI models into real-world data solutions. Required Technical Skills: 3.5+ years of hands-on experience in Python for building AI models and systems. Strong expertise in Generative AI frameworks, such as RAG (Retrieval-Augmented Generation), transformers, and agentic models. Proficiency in LangChain, LangGraph, and Agentic AI frameworks to develop intelligent, goal-oriented agents and workflows. Hands-on experience with prompt engineering for optimizing generative AI outputs. Strong experience with cloud-based platforms like AWS, Azure, or GCP for deploying AI solutions. Deep understanding of data governance, compliance, and security standards in AI applications. Familiarity with NLP libraries (like Hugging Face, spaCy, NLTK) and machine learning frameworks (like TensorFlow, PyTorch). Experience working with Databricks or similar platforms for AI/ML model deployment and scaling. Preferred Skills: Experience in deploying AI models with real-time inference capabilities. Familiarity with reinforcement learning, active learning, and multi-agent systems. Knowledge of computer vision and multimodal AI techniques (text, images, video, etc.). Understanding of data modeling for AI-powered systems and integration with existing data pipelines. Educational Qualification: - 15 years full time education is required.</p>
<br>
15 years full time education

Data Platform Engineer

Search 10000+ Data management engineer jobs near you this October. New roles added regularly across leading industries. Apply today.

10000 data management engineer jobs NEAR_ME

Data & ML Engineer1

Data Engineer I, Global GBS - DIPP

Data Migration Engineer â€“ Archiving Service

Data Platform Engineer

Data Platform Engineer

Data Platform Engineer

Data Platform Engineer