warehouse engineer

Careem

<div><div><p>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.<br>
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.</p>
<p><b><i>
We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</i></b></p></div><div><div><b>
About the role:</b><br>
We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.</div>
<div></div>
<div><b>What you'll do:</b></div>
<ul><li>Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.</li>
<li>Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.</li>
<li>Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.</li>
<li>Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.</li>
<li>Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.</li>
<li>Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.</li>
<li>Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.</li>
<li>Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.</li>
<li>Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.</li>
</ul><div><b>What you'll need</b></div>
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.</li>
<li>Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.</li>
<li>Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).</li>
<li>Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).</li>
<li>Familiarity with data integration and workflow management tools such as Apache Airflow</li>
<li>Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.</li>
<li>Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.</li>
<li>Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li>
<li>Attention to detail and a strong commitment to delivering high-quality work within established timelines.</li>
<li>Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.</li></ul></div></div><p></p>

Senior Data Warehouse Engineer I

Smartsheet

<div><div><p>For over 20 years, Smartsheet has helped people and teams achieve&ndash;well, anything. From seamless work management to smart, scalable solutions, we've always worked with flow. We're building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we're creating space&ndash; space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that's magic at work, and it's what we show up for everyday.</p></div><p>
Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting.</p>
<p>
A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.</p>
<p>
This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet's corporate offices in Bengaluru, India.</p>
<p><b>
You Will:</b></p>
<ul>
<li>Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products.</li>
<li>Contribute to the design standards and architectural principle standards, designs and processes.</li>
<li>Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).</li>
<li>Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.</li>
<li>Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.</li>
<li>Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.</li>
<li>Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.</li>
<li>Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.</li>
<li>Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).</li>
</ul>
<p><b>You Have:</b></p>
<ul>
<li>6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.</li>
<li>Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).</li>
<li>Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.</li>
<li>Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.</li>
<li>Familiarity with data governance principles for maintaining datasets to enable a single source of truth.</li>
<li>Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).</li>
<li>Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).</li>
<li>Familiarity with AWS solutions such as S3, EC2, VPC.</li></ul><p></p><div><br>
<p><b>
Get to Know Us:</b></p>
<p>
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You'll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths&mdash;because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you're doing work that stretches you, excites you, and connects you to something bigger, that's magic at work. Let's build what's next, together.</p>
<p><b>
Equal Opportunity Employer:</b></p>
<p>
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.</p>
<p>
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.</p><br>
<p></p>
<p>
#LI-Remote</p></div></div>

Sr. Analytics Engineer (Data Warehouse Engineer) - Hybrid in Bangalore

Sterling Engineering

<div>
 <p>
  <strong>
   Sr. Robotics Engineer
  </strong>
 </p>
 <p>
  Direct Hire / Permanent Position
 </p>
 <p>
  Target Starting Salary: $120,000-$160,000/year
 </p>
 <p>
  Onsite in Buffalo Grove, IL (Relocating to Libertyville, IL in 2026)
 </p>
 <ul>
  <li>
   <em>
    Relocation Assistance Packages are available for qualified candidates.
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Company Overview:
  </strong>
  We are a leading high-volume medical device manufacturer expanding our operations with a state-of-the-art facility in Libertyville, IL, set to be operational in 2026. Our goal is to incorporate cutting-edge Automated Storage and Retrieval Systems (ASRS) and Automated Guided Vehicles (AGVs) in our new warehouse to optimize efficiency and productivity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Overview:
  </strong>
  We are seeking an experienced Subject Matter Expert to oversee the selection, implementation, and operation of ASRS and AGV systems for our new Libertyville plant. This individual will initially work from our Buffalo Grove facility, engaging in strategic planning and system development to ensure a seamless transition to the new site. The ideal candidate will possess in-depth expertise with ASRS and AGV technology, strong project management skills, and the ability to collaborate effectively with suppliers, vendors, and high-level stakeholders.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Serve as the Subject Matter Expert for ASRS and AGV systems, leading the development and integration of these technologies into the Libertyville facility.
  </li>
  <li>
   Collaborate with leadership to select suitable ASRS and AGV suppliers, analyzing system capabilities and requirements to optimize plant efficiency.
  </li>
  <li>
   Oversee the design, installation, and commissioning of ASRS and AGV systems, ensuring compliance with project timelines and performance standards.
  </li>
  <li>
   Ensure systems operate at full capacity once the new facility becomes operational, with a focus on long-term reliability and effectiveness.
  </li>
  <li>
   Act as the main liaison between the company and high-profile vendors, clients, and directors, managing presentations and fostering strong working relationships.
  </li>
  <li>
   Develop and execute strategies to maximize the efficiency of automated systems, staying abreast of the latest industry advancements and technologies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Engineering, Supply Chain, or a related field; advanced degree preferred.
  </li>
  <li>
   Extensive hands-on experience working with ASRS and AGV systems in a warehouse environment.
  </li>
  <li>
   Demonstrated expertise in working with ASRS vendors such as Hytrol, Swisslog, Schaefer, Knapp, Muratec, or Southworth.
  </li>
  <li>
   Proven ability to manage vendor relationships, negotiate contracts, and oversee system implementation projects from concept to completion.
  </li>
  <li>
   Strong communication and presentation skills, with the ability to engage effectively with senior leadership, vendors, and high-profile clients.
  </li>
  <li>
   Exceptional problem-solving and analytical abilities, with a focus on continuous improvement and system optimization.
  </li>
 </ul>
 <p>
 </p>
</div>


Warehouse Robotics Engineer (AGV & ASRS)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>Must Have:</b></p>
<div>
<ul><li><b>Hands-on Experience in ETL t</b>esting with knowledge on Data Warehouse, Data Lake ETL Testing application</li></ul>
<ul><li>Solid expertise in working with ETL / Databricks testing, Informatica tools (IDMC)</li></ul>
<ul><li>Experience with big data technologies (Spark, PySpark, Delta Lake).</li></ul>
<ul><li>Knowledge of data modeling, data quality frameworks, and BI tools</li></ul>
<ul><li>Good Knowledge in Test data articulation
</li></ul></div><p>Good to have ETL &amp; SQL work experience, Databricks, Teradata.</p>
<p><b>Worked on design and development of any digital dashboard preferred</b></p>
<p>Experience with Datawarehouse Automation testing, SQL and test data creation.</p>
<div><ul><li>Good experience in Agile Software Testing Lifecycle</li></ul>
<ul><li>Should have worked on data warehouse projects with good exposure to database technologies like Hadoop, Teradata, Snowflake.</li></ul></div><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>387014</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Spark | ETL Testing</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Databricks Test Engineer

Algo

<div><p><b>Position:</b> Data Engineer (Azure Platform)</p>
<p><b>
Location:</b> Lahore, Pakistan (on-site)</p><p></p><div><b><br>
Job Description</b><br>
<ul><li>Design and develop scalable data warehouse solutions to support analytics and reporting.</li><li>Build and maintain efficient <b>Azure Data Pipelines </b>using <b>Azure Data Factory</b> for ETL processes.</li><li>Develop and optimize Spark jobs using <b>Databricks</b> and <b>PySpark</b> for large-scale data transformations.</li><li>Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.</li><li>Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.</li><li>Manage the presentation and access layers to ensure secure and efficient data access.</li><li>Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</li></ul></div><p></p><p><b><br>
Qualifications</b></p>
<ul><li>BS in Computer Science or a related field with <b>4-5 years of experience</b> in BI and data management projects.</li><li>Strong expertise in <b>database</b> and <b>data warehouse design</b>, support, and maintenance.</li><li>Proficiency in <b>writing complex SQL</b> and <b>SparkSQL queries</b>.</li><li>Experience in <b>Python</b> and its data-related frameworks.</li><li>Hands-on experience with <b>Databricks</b> and <b>PySpark</b> for data engineering tasks.</li><li>Strong proficiency in Power BI; experience with other BI tools is a plus.</li><li>Experience with Azure Data Platform <b>(Data Factory, Azure SQL, Synapse, Data Lake)</b> is preferred.</li><li>Ability to generate and maintain comprehensive technical documentation.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Willingness to learn and adapt to new technologies and project requirements.</li><li>Experience in data analysis is a plus.</li><li>Ability to work independently and handle critical situations confidently.</li><li>A collaborative, team-oriented mindset.</li></ul></div>

Data Engineer (Azure Platform)

Randstad Türkiye

<div>
 <p>
  We are looking for a
  <strong>
   "Senior - Mid Big Data Engineer
  </strong>
  " on behalf of our global business partner runs in
  <em>
   Telecommunications
  </em>
  Industry.
 </p>
 <p>
  <br/>
 </p>
 <p>
  About Role
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Senior&ndash;Mid Big Data Engineer
  </strong>
  to join our delivery-focused Big Data team. This role is fully aligned with production data migration and Big Data service deployment activities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Execute data migration projects, ensuring data accuracy, performance, and operational stability.
  </li>
  <li>
   Deploy, configure, and operate Big Data services and platforms in live production environments.
  </li>
  <li>
   Install, configure, and maintain Big Data clusters, including Hadoop ecosystem components (HDFS, Hive, Spark, Flink, MapReduce).
  </li>
  <li>
   Perform DWS (Data Warehouse Service) deployments, including setup, configuration, tuning, and post-deployment support.
  </li>
  <li>
   Design, implement, and maintain ETL/ELT pipelines for production Data Warehouses and Data Lakes.
  </li>
  <li>
   Optimize and troubleshoot batch processing workloads using Hive, Spark, and related technologies.
  </li>
  <li>
   Implement and support data ingestion pipelines, including real-time components where applicable.
  </li>
  <li>
   Provide on-site and remote delivery support to international customers during deployment and migration phases.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Required Qualifications
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   BSc or MSc degree in Computer Engineering, Computer Science, Software Engineering, or a related technical discipline.
  </li>
  <li>
   4&ndash;8 years of professional experience in Big Data Engineering, with a strong focus on delivery, data migration, and production operations.
  </li>
  <li>
   Strong experience with Spark, Flink, Hadoop, and related Big Data technologies.
  </li>
  <li>
   Proficiency in Python or Java.
  </li>
  <li>
   Solid experience with SQL development (MySQL, PostgreSQL).
  </li>
  <li>
   Hands-on experience with batch processing using Hive and Spark.
  </li>
  <li>
   Strong understanding of Data Warehouse and Data Lake architectures.
  </li>
  <li>
   Experience working in Unix/Linux environments.
  </li>
  <li>
   Ability to work in production environments with high availability and performance requirements.
  </li>
  <li>
   Strong communication skills in international delivery teams.
  </li>
  <li>
   Fluency in written and spoken English is mandatory.
  </li>
  <li>
   Willingness and flexibility to travel internationally.
  </li>
  <li>
   Strong sense of ownership for end-to-end delivery and production stability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Nice to Have
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience with real-time ingestion systems such as Kafka or RabbitMQ.
  </li>
  <li>
   Experience with monitoring, alerting, and performance tuning of Big Data platforms.
  </li>
  <li>
   Exposure to cloud-native Big Data services.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Seniority Expectations
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Solid understanding of ETL/ELT methodologies and production best practices.
  </li>
  <li>
   Proven ability to design, deploy, and operate complex data pipelines in live environments.
  </li>
  <li>
   Ability to independently own delivery activities, guide implementation decisions, and mentor junior engineers.
  </li>
 </ul>
</div>


Big Data Engineer

Scope Equipment

<p><b>Job Summary:</b><br/>We are seeking a <b>Civil Engineer or related discipline</b> to manage scaffolding materials and equipment. This role combines <b>engineering knowledge with storekeeping</b>, ensuring materials are handled, issued, and inspected according to project specifications.</p><p><b>Responsibilities:</b></p><ul><li>Receive, inspect, store, and issue scaffolding materials and equipment.</li><li>Maintain accurate inventory and ensure timely stock replenishment.</li><li>Coordinate with site engineers, warehouse staff, and transport for efficient material flow.</li><li>Verify material quality and compliance with drawings, BOQs, and technical specs.</li><li>Prepare and maintain basic store and logistics documentation.</li><li>Ensure compliance with safety standards and proper storage practices.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in <b>Civil Engineering</b> or related field.</li><li>2+ years&rsquo; experience in <b>storekeeping, logistics, or construction materials handling</b>.</li><li>Strong organizational and communication skills.</li><li>Proficient in Microsoft Office; knowledge of inventory/ERP systems is a plus.</li><li>Experience with scaffolding or construction materials preferred.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>What is your expected salary?</li><li>Are you able to communicate in basic Urdu and Arabic?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Store Keeper or Logistic Coordinator: 2 years (Required)</li></ul><p>Language:</p><ul><li>Urdu (Preferred)</li><li>Arabic (Preferred)</li></ul>

Engineer Storekeeper

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