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senior data engineer

SUPPLIER.IO

<div><p>Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact.</p><p></p><p><br>
Our solutions empower today&rsquo;s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community.</p><p></p><p><br>
Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io.</p><p><b><br>
The Opportunity</b></p><p>
Supplier.io is expanding our data engineering team and is seeking a Senior Data Engineer to play a critical role in scaling and modernizing our data platform. This role is ideal for a highly experienced, hands-on engineer who thrives in complex environments and enjoys mentoring others while collaborating across teams, geographies, and disciplines.</p><p></p><p><br>
As a Senior Data Engineer, you will drive, shape and execute our long-term data strategy, design resilient and scalable data architectures, and technical excellence across our data ecosystem. You will work closely with Product, DevOps, and Product Engineering teams to ensure our data systems support business growth and data-driven decision making.</p><p></p><p><br>
To support Supplier.io growth, we are investing heavily in cloud-native, data-driven technologies. This role will be instrumental in leveraging modern data services, optimizing cost, and ensuring our data platform is secure, reliable, and scalable.</p><p></p><p><b><br>
What</b> <b>You</b> <b>Will Do</b></p><ul><li>
Drive Data Architecture: Lead the implementation of scalable, fault-tolerant data infrastructure that powers our advanced data platform.</li><li>
Lead Technical Strategy: Partner with senior colleagues to define and execute a cohesive data strategy that aligns technical solutions with company objectives.</li><li>
Mentorship &amp; Code Quality: Mentor mid-level and junior engineers, conduct code reviews, and enforce best practices for Python, SQL, and data modeling.</li><li>
Evaluate &amp; Innovate: Proactively identify, evaluate, and integrate new technologies (such as SQL Mesh) to future-proof our stack.</li><li>
Cloud Native Workflow: Establish and maintain CI/CD pipelines, branching strategies, and project workflows using Azure DevOps and Jira.</li><li>
Reliability &amp; Governance: Champion data quality, security, and governance standards and ensure robust monitoring and alerting are in place.</li><li>
Documentation: Own the technical documentation strategy, ensuring high-level architecture diagrams and runbooks are kept current.</li><li>
Perform other duties as assigned.</li></ul><p></p><p><b><br>
What</b> <b>You will</b> <b>Need to Succeed:</b></p><ul><li>
Bachelor of Computer Science, Management Information System, Engineering, Data Science, or related field.</li><li>
7+ years of progressive experience in data engineering with demonstrated ownership of complex data systems in production environments. At least 2 years in a senior or lead capacity preferred.</li><li>
Advanced experience designing, building, and supporting Snowflake based solutions at scale.</li><li>
Proven experience architecting and implementing large-scale data solutions (i.e. Azure, AWS, GCP, or multi-cloud environments).</li><li>
Strong expertise in data modeling, ETL/ELT processes, and modern data warehousing principles.</li><li>
Expert-level proficiency in Python and SQL with the ability to write reusable, modular, and efficient code.</li><li>
 Strong experience with orchestration tools (e.g., Airflow) or transformation frameworks (e.g., SQL Mesh). Experience working in an agile development environment and collaborating through ticketing systems such as Jira and Azure DevOps.</li><li>
Ability to communicate technical concepts clearly to technical and non-technical teams and influence decision-making.</li><li>
Strong problem-solving skills with the ability to troubleshoot and resolve ambiguous, high-impact issues.</li><li>
A results-oriented mindset with a demonstrated history of driving process improvements and technical excellence.</li><li>
Ability to work independently while also serving as a trusted technical partner and mentor to others along</li><li>
Ability to take vague requirements and turn them into technical roadmaps.</li></ul><p></p><p><b><br>
We do no accept unsolicited resumes from recruitment/search firms.</b></p></div><p></p>

Senior Data Engineer

Fluent Health

<div>
 <p>
  <strong>
   About Us:
  </strong>
 </p>
 <p>
  Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family. The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy. To assist us in our growth journey, we are seeking a highly motivated and experienced
  <strong>
   Senior Data Engineer
  </strong>
  to play a pivotal role in future success.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Company Website- https://fluentinhealth.com/
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We&rsquo;re looking for a
  <strong>
   Senior Data Engineer
  </strong>
  to lead the design, implementation, and optimization of our analytical and real-time data platform. In this hybrid role, you&rsquo;ll combine hands-on data engineering with high-level architectural thinking to build scalable data infrastructure with ClickHouse as the cornerstone of our analytics and data warehousing strategy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll work closely with engineering, product, analytics, and compliance teams to establish data best practices, ensure data governance, and unlock insights for internal teams and future data monetization initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <strong>
   Architecture &amp; Strategy:
  </strong>
 </p>
 <ul>
  <li>
   Own and evolve the
   <strong>
    target data architecture
   </strong>
   , with a focus on
   <strong>
    ClickHouse
   </strong>
   for large-scale analytical and real-time querying workloads.
  </li>
  <li>
   Define and maintain a
   <strong>
    scalable and secure data platform architecture
   </strong>
   that supports various use cases including real-time analytics, reporting, and ML applications.
  </li>
  <li>
   Set
   <strong>
    data governance and modeling standards
   </strong>
   , and ensure data lineage, integrity, and security practices are followed.
  </li>
  <li>
   Evaluate and integrate complementary technologies into the data stack (e.g., message queues, data lakes, orchestration frameworks).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Engineering:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain robust
   <strong>
    ETL/ELT pipelines
   </strong>
   to ingest and transform data from diverse sources into our data warehouse.
  </li>
  <li>
   Optimize
   <strong>
    ClickHouse schema and query performance
   </strong>
   for real-time and historical analytics workloads.
  </li>
  <li>
   Build data APIs and interfaces for product and analytics teams to interact with the data platform.
  </li>
  <li>
   Implement monitoring and observability tools to ensure pipeline reliability and data quality.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration &amp; Leadership:
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with data consumers (e.g., product managers, data analysts, ML engineers) to understand data needs and translate them into scalable solutions.
  </li>
  <li>
   Work with security and compliance teams to implement
   <strong>
    data privacy, classification, retention, and access control policies
   </strong>
   .
  </li>
  <li>
   Mentor junior data engineers and contribute to hiring efforts as we scale the team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5-7 years
   </strong>
   of experience in
   <strong>
    Data Engineering
   </strong>
   , with at least
   <strong>
    2-4 years
   </strong>
   in a
   <strong>
    Senior or Architectural
   </strong>
   role.
  </li>
  <li>
   <strong>
    Expert-level proficiency
   </strong>
   in
   <strong>
    ClickHouse
   </strong>
   or similar columnar databases (e.g., BigQuery, Druid, Redshift).
  </li>
  <li>
   Proven experience designing and operating scalable
   <strong>
    data warehouse and data lake architectures
   </strong>
   .
  </li>
  <li>
   Deep understanding of
   <strong>
    data modeling
   </strong>
   ,
   <strong>
    partitioning
   </strong>
   ,
   <strong>
    indexing
   </strong>
   , and
   <strong>
    query optimization
   </strong>
   techniques.
  </li>
  <li>
   Strong experience building
   <strong>
    ETL/ELT pipelines
   </strong>
   using tools like Airflow, dbt, or custom frameworks.
  </li>
  <li>
   Familiarity with
   <strong>
    stream processing
   </strong>
   and
   <strong>
    event-driven architecture
   </strong>
   (e.g., Kafka, Pub/Sub).
  </li>
  <li>
   Proficiency with
   <strong>
    SQL
   </strong>
   and at least one programming language like
   <strong>
    Python
   </strong>
   ,
   <strong>
    Scala
   </strong>
   , or
   <strong>
    Java
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    data governance
   </strong>
   ,
   <strong>
    compliance frameworks
   </strong>
   (e.g., HIPAA, GDPR), and
   <strong>
    data cataloging
   </strong>
   tools.
  </li>
  <li>
   Knowledge of
   <strong>
    real-time analytics
   </strong>
   use cases and streaming architectures.
  </li>
  <li>
   Familiarity with
   <strong>
    machine learning pipelines
   </strong>
   and integrating data platforms with ML workflows.
  </li>
  <li>
   Experience working in regulated or high-security domains like
   <strong>
    Healthtech
   </strong>
   ,
   <strong>
    Fintech
   </strong>
   , or
   <strong>
    Enterprise SaaS.
   </strong>
  </li>
 </ul>
</div>


Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><b>Req # </b></div><div>WD00091292
</div></div><div><div><b>Career Area: </b></div><div>Data Management and Analytics
</div></div><div><div><b>Country/Region: </b></div><div>India
</div></div><div><div><b>State: </b></div><div>Karnataka
</div></div><div><div><b>City: </b></div><div>BANGALORE
</div></div><div><div><b>Date: </b></div><div>Monday, December 15, 2025
</div></div><div><div><b>Working Time: </b></div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>India - Karn&#257;taka - Bangalore
</li></ul><ul><li>India - Karn&#257;taka - BANGALORE
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit <b>www.lenovo.com</b>, and read about the latest news via our <b>StoryHub</b>.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p><b>Job Title:</b> Senior Data Engineer</p><p><b>
Department:</b> Lenovo Customer Experience</p><p><b>
Company Overview:</b> Lenovo is the fastest growing technology company on the planet, with growth outpacing our competition quarter after quarter and we&rsquo;re growing! Lenovo&rsquo;s fundamental belief is that life rewards those who Never Stand Still. Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way. We are looking for the person who challenges the ordinary and seeks to innovate in learning, while also balancing execution.</p><p><b>
Position Overview:</b> Lenovo&rsquo;s Customer Experience team is seeking a senior data engineer to join its Bangalore, India-based team. We&rsquo;re looking for a skilled and experienced self-starter to work in our CX department as a Data Engineer.</p><p><b>
Key Responsibilities:</b></p><ul><li>
As a <b>Senior Data Engineer</b>, you will be involved in data Lakehouse development including requirements gathering, database modeling, ETL job design &amp; development, and dashboard/report development activities.</li><li>
You will be working with the Customer Experience team to build and enhance a cloud-based warehouse of operational data to drive analytics.</li><li>
You will be responsible for developing ETL/data pipelines using Talend, SQL, and Python, and ingesting data from various external sources into large MPP data warehouses like Azure Synapse, Hive, Snowflake or similar.</li><li>
You will frequently conduct data analysis, ingest data from various external &amp; internal sources, write advanced database queries, and optimize data storage needed by business and/or executive operations.</li><li>
You will enable daily business activities by providing the foundation of all federated querying and analysis produced by the BI and Data Science teams.</li><li>
You will have the opportunity to work with modern data stack components and continuously grow by learning new tools and technologies in a collaborative, data-driven environment.</li></ul><p><b>
Position Requirements</b></p><p><b>
Basic Qualifications:</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Mathematics, or Science.</li><li>Minimum 5 years of experience in ETL development and coding, including validation of complex data mappings.</li><li>Hands-on experience with ETL Tool Talend (minimum 5 years).</li><li>Proficient in SQL with at least 8 years of experience in developing complex SQL queries for data validation.</li><li>Experience in Python for data processing and transformation tasks.</li><li>Strong experience with data warehouse databases such as Azure Synapse, Hive, Snowflake, SQL Server, or Redshift.</li><li>Experience and knowledge in ingesting data from various external sources is a must have.</li><li>Excellent oral and written communication skills.</li><li>Experience working with cloud-based data platforms.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>Exposure to Databricks for big data processing and orchestration.</li><li>Experience with BI tools like Tableau or Power BI.</li><li>Familiarity with Agile Scrum development methodologies.</li><li>Experience working in or exposure to Data science / Machine learning / Gen AI based projects</li></ul>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>India - Karn&#257;taka - Bangalore
</li></ul><ul><li>India - Karn&#257;taka - BANGALORE<br>
</li></ul></div></div><div></div><div><div><div><br>
<div><b>NOTICE FOR PUBLIC</b></div><div></div><div><br>
At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative.</div><div>
</div><div>
Please beware of fraudulent recruiters posing as Lenovo representatives. They may request cash deposits or personal information. Always apply through official Lenovo channels and never share sensitive information. Lenovo does not solicit money or sensitive information from applicants and will not request payments for training or equipment.</div><div>
</div><div>
Kindly verify job offers through the official <b>Lenovo careers page</b> or contact IndiaTA@lenovo.com. Stay informed and cautious to protect yourself from recruitment fraud. Report any suspicious activity to local authorities.</div></div></div></div></div></div></div></div>

Senior Data engineer

Cargill

<div><div><div><h2 class="jobSectionHeader"><b>Job Purpose and Impact</b></h2>
</div><div><p>
We are seeking a highly experienced Senior Engineer with strong expertise across <b>API engineering, platform development, and data engineering</b>. The ideal candidate will design, build, and optimize scalable services, data pipelines, and digital platforms that power enterprise applications. This role requires deep technical proficiency, strong architectural thinking, and the ability to collaborate with cross-functional teams to deliver high-quality, reliable, and secure solutions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><p><b>
Core Responsibilities</b></p><p><b>
API &amp; Platform Engineering</b></p><ul><li>
Design and develop <b>high‑performance, secure, and scalable APIs</b> using Java, Spring, and Hibernate.</li><li>
Build and maintain <b>microservices-based architectures</b> ensuring robustness, modularity, and efficiency.</li><li>
Engineer and support digital platform components, infrastructure, and foundational services.</li><li>
Implement and optimize <b>CI/CD pipelines</b>, automated deployments, and cloud-native release processes.</li><li>
Integrate with API Gateways and manage <b>API lifecycle management</b>, versioning, logging, and monitoring.</li><li>
Troubleshoot production issues, ensure service reliability, and provide ongoing technical support.</li><li>
Write unit, integration, and performance tests; participate in peer code reviews to ensure code quality.</li><li>
Maintain comprehensive <b>technical documentation</b>, architectural diagrams, and configuration details.</li></ul><p><b>
Data Engineering</b></p><ul><li>
Design, automate, and optimize <b>scalable data pipelines</b> for batch and real-time ingestion, transformation, and aggregation.</li><li>
Develop and maintain <b>ETL/ELT workflows</b> using AWS Glue, Python, SQL, and other cloud-native tools.</li><li>
Support migration and integration across multiple data platforms like <b>Hadoop, Snowflake, AWS, and Oracle</b>.</li><li>
Implement data modeling, data warehousing, and performance optimization strategies.</li><li>
Monitor, troubleshoot, and resolve issues across data workflows ensuring reliability and data integrity.</li><li>
Contribute to engineering best practices, code reviews, and CI/CD enhancements for data processes.</li><li>
Partner with analysts, data scientists, and business stakeholders to understand requirements and deliver scalable solutions.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><p></p><div><ul><li><div><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field with minimum 9 years of work experience.</li><li>
Strong expertise in <b>Java, Spring Framework, Hibernate</b></li><li>
Hands-on experience with <b>Python</b> and scalable data processing</li></ul><ul><li>
Proficiency with <b>AWS services</b>, API Gateway, Lambda, EC2, S3, IAM</li><li>
Experience in <b>CI/CD</b> (GitLab, Jenkins, CodePipeline, or similar)</li><li>
Cloud-native logging &amp; monitoring tools (e.g., <b>Datadog</b>)</li></ul><ul><li>
SQL and advanced data transformation skills</li><li>
Experience with <b>Snowflake, Hadoop ecosystem, AWS Glue</b></li><li>
Strong understanding of <b>data modeling</b>, warehousing, and performance tuning</li><li>
Familiarity with Oracle and BI tools such as Tableau</li></ul><p><b>
Architecture &amp; Integration</b></p><ul><li>
Microservices architecture and API lifecycle management</li><li>
Real-time and batch data pipeline integration</li><li>
Strong understanding of distributed systems and scalable design</li></ul></div></li></ul></div></div></div><p></p>

Hewlett Packard Enterprise | HPE

<div>Senior Data Engineer<p><br>
</p>This role has been designed as &lsquo;&rsquo;Onsite&rsquo; with an expectation that you will primarily work from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><p>Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the &ldquo;Intelligent Edge&rdquo; &ndash; and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what&rsquo;s next for you.</p><p><b>
Job Description: Senior Data Engineer</b></p><p><b>
Employment Type:</b> Full-time</p><p><b><br>
About the Role</b></p><p>
We are looking for a talented <b>Senior Data Engineer</b> to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.</p><p><br>
You&rsquo;ll collaborate closely with other Senior Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.</p><p><b><br>
What You&rsquo;ll Do</b></p><p><b>
Engineering &amp; Delivery</b></p><ul><li><b>
Build, maintain, and optimize data pipelines</b> for batch and streaming workloads.</li><li>
Develop reliable data models and transformations to support analytics, reporting, and operational use cases.</li><li>
Integrate new data sources, APIs, and event streams into the platform.</li><li>
Implement data quality checks, testing, documentation, and monitoring.</li><li>
Write clean, performant SQL and Python code.</li><li>
Contribute to improving performance, scalability, and cost-efficiency across the data platform.</li></ul><p></p><p><b>
Collaboration &amp; Teamwork</b></p><ul><li>
Work closely with other senior engineers and architects to implement architectural patterns and best practices.</li><li>
Collaborate with analysts and data scientists to translate requirements into technical solutions.</li><li>
Participate in code reviews, design discussions, and continuous improvement initiatives.</li><li>
Help maintain clear documentation of data flows, models, and processes.</li></ul><p></p><p><b>
Platform &amp; Process</b></p><ul><li>
Support the adoption and roll-out of new data tools, standards, and workflows.</li><li>
Contribute to DataOps processes such as CI/CD, testing, and automation.</li><li>
Assist in monitoring pipeline health and resolving data-related issues.</li></ul><p></p><p><b>
What you need to bring:</b></p><ul><li>
6-10 years of experience as a Data Engineer or similar role.</li><li><b>
Hands-on experience with Snowflake (mandatory)</b>&mdash;including SQL, modeling, and basic optimization.</li><li>
Strong knowledge of current arhitecure best practices of data pipelines and DWH.</li><li><b>
Experience with dbt (or similar)</b>&mdash;model development, tests, documentation, and version control workflows.</li><li>
Strong SQL skills for data modeling and analysis.</li><li>
Proficiency with <b>Python</b> for pipeline development and automation.</li><li>
Experience working with orchestration tools (Airflow, Dagster, Prefect, or equivalent).</li><li>
Understanding of ETL/ELT design patterns, data lifecycle, and data modeling best practices.</li><li>
Familiarity with cloud environments (AWS, GCP, or Azure).</li><li>
Knowledge of data quality, observability, or monitoring concepts.</li><li>
Good communication skills and the ability to collaborate with cross-functional teams.</li></ul><p><b><br>
Nice to Have</b></p><ul><li>
Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).</li><li>
Experience with data governance or cataloging tools.</li><li>
Basic understanding of ML workflows or MLOps concepts.</li><li>
Experience with infrastructure-as-code tools (Terraform, CloudFormation).</li><li>
Familiarity with testing frameworks or data validation tools.</li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing &amp; Automation, User Experience (UX)<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#india
#aruba<p></p><p><b>
Job:</b></p>
Engineering<p><b>
Job Level:</b></p>
TCP_04<p><br>
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
</p><p><b>No Fees Notice &amp; Recruitment Fraud Disclaimer</b></p><p></p><p><i><br>
It has come to HPE&rsquo;s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.</i></p><p></p><p><i><br>
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment </i><i>agencies/vendors </i><b><i>will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. </i></b><i>The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.</i></p></div>

FirstPoint Global Solutions

<p>We are seeking an experienced and highly skilled <b>Senior Data Engineer</b> to join our team in an <b>on-site role</b>. This position is ideal for a technically strong professional who excels at building scalable data systems, optimizing data pipelines, and ensuring data quality and performance across the organization.</p><p>You will play a critical role in shaping our data infrastructure and supporting data-driven decision-making.</p><p>Key Responsibilities</p><p>In this role, you will be responsible for:</p><ul><li>Designing, building, and maintaining scalable and reliable data pipelines</li><li>Developing and managing data warehouses, data lakes, and ETL/ELT workflows</li><li>Ensuring data quality, integrity, availability, and security</li><li>Optimizing data performance, scalability, and cost efficiency</li><li>Collaborating with data scientists, analysts, and engineering teams</li><li>Supporting analytics, reporting, and machine learning initiatives</li><li>Implementing best practices for data modeling, governance, and documentation</li><li>Monitoring data workflows and troubleshooting performance issues</li><li>Managing data integrations from multiple internal and external sources</li><li>Contributing to data architecture decisions and long-term strategy</li><li>Mentoring junior data engineers and providing technical guidance</li></ul><p>Required Skills &amp; Experience</p><p>To be successful in this role, you must have:</p><ul><li>Proven experience as a <b>Senior Data Engineer</b> or in a similar role</li><li>Strong proficiency in <b>SQL</b> and advanced data modeling techniques</li><li>Hands-on experience with data warehouses and big data technologies</li><li>Experience designing and optimizing <b>ETL/ELT pipelines</b></li><li>Strong programming skills in <b>Python, Java, or Scala</b></li><li>Experience with cloud platforms such as <b>AWS, Azure, or GCP</b></li><li>Solid understanding of data architecture, performance tuning, and scalability</li><li>Experience working with large, complex datasets in production environments</li><li>Strong analytical and problem-solving skills</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with tools such as <b>Airflow, dbt, Spark, Kafka, Snowflake, or Databricks</b></li><li>Knowledge of data governance, security, and compliance standards</li><li>Experience with CI/CD pipelines for data workflows</li><li>Familiarity with BI tools or machine learning pipelines</li></ul><p>What We&rsquo;re Looking For</p><p>You are:</p><ul><li>Comfortable working in an <b>on-site, collaborative environment</b></li><li>Detail-oriented with a strong focus on data accuracy and reliability</li><li>Strategic in approach while remaining hands-on</li><li>Able to take ownership of complex data initiatives</li><li>A collaborative team player and technical mentor</li><li>Adaptable in a fast-paced and evolving data environment</li></ul><p>What We Offer</p><ul><li>Full-time <b>on-site position</b></li><li>Competitive salary based on experience</li><li>Comprehensive benefits package</li><li>Opportunity to work on large-scale, enterprise data platforms</li><li>Supportive and collaborative work culture</li><li>Career growth and leadership opportunities</li></ul><p>Apply Today</p><p>If you have strong experience in <b>data engineering</b> and are passionate about building scalable data systems, we encourage you to apply.</p><p>Please include details of your <b>relevant experience, key projects, or technical expertise</b> with your application.</p><p>Job Type: Full-time</p><p>Pay: ₹80,000.00 - ₹110,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

TECHBLOCKS

<div><div><b>Role: Senior Data Engineer
</b></div><div><b>Location: New York, NY</b></div><div></div><div><b><br>
Responsibilities
</b></div><ul><li>Use the latest technology to build data pipelines and integrate machine learning models
</li><li>Build and expand our data platform
</li><li>Develop applications that run on a Google Cloud-based infrastructure<br>
</li></ul><div></div><br>
<div><b>Qualifications
</b></div><ul><li>6+ years of experience in Big Data and Data Engineering.
</li><li>Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery.
</li><li>Have strong programming skills in SQL, Python/PySpark, etc.
</li><li>Experience in the design and development of data pipelines, ETL/ELT processes.
</li><li>Experience in one of the public cloud providers &ndash; GCP, Azure, AWS.
</li><li>Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
</li><li>Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
</li><li>Comfortable using Azure DevOps or similar CI/CD tools, Git
</li><li>Building Docker images and deploying them to Production. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform.
</li><li>Strong problem-solving and communication skills.</li><li>Bachelor's or an advanced degree in Computer Science or a related engineering discipline.
</li><li>Optionally have experience with C#, .NET core, and microservices</li></ul></div>

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