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>

Senior Data Engineer

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>

<p><b>Job Title:</b> Senior Data Engineer<br/><b>Location:</b> [Remote]<br/><b>Tech Stack: </b>Snowflake + Talend | <b>Experience</b>: 10+ years |<br/><b>Employment Type:</b> Contract/Full-time</p><p><b>Responsibilities </b></p><ul><li>Design scalable Snowflake data models for analytical workloads.</li></ul><ul><li>Develop Talend-based ETL/ELT pipelines for ingestion and processing.</li></ul><ul><li>Ensure data governance, lineage, and quality controls.</li></ul><ul><li>Optimize pipeline performance and warehouse cost usage.</li></ul><ul><li>Create reusable ingestion frameworks and metadata-driven pipelines.</li></ul><ul><li>Collaborate with cross-functional teams for data requirements.</li></ul><ul><li>Document mappings, lineage, architecture, and transformations.</li></ul><p><b>Skills</b></p><ul><li>Strong SQL and Snowflake modeling experience.</li></ul><ul><li>Hands-on Talend ETL development expertise.</li></ul><ul><li>Knowledge of ELT/ETL patterns and orchestration design.</li></ul><ul><li>Understanding of cloud-based data processing fundamentals.</li></ul><ul><li>Familiarity with ADLS, file formats (Parquet/ORC/JSON).</li></ul><ul><li>Experience with pipeline performance tuning.</li></ul><ul><li>Knowledge of version control and CI integration.</li></ul><p>Job Types: Full-time, Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: ₹1,000,000.00 - ₹1,200,000.00 per year</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Experience:</p><ul><li>Talend: 3 years (Required)</li><li>Snowflake : 3 years (Required)</li></ul><p>Work Location: Remote</p>

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>

NMQ Digital

<div>
 <p>
  <strong>
   ABOUT US
  </strong>
 </p>
 <p>
  We are a fast-growing, close-knit, dynamic, and successful Digital Services Company that specializes in providing support to large multinational companies for SEO, Product &amp; Web Content Management, Social Media Management, Performance Marketing, E-Commerce Management, CRM &amp; E-Mail Marketing Automation, DX &amp; Development, Data Management &amp; Analytics, Project Management, Digital Consultancy, and Recruitment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a multinational Dutch company, we have offices in Amsterdam, Istanbul, Lisbon, Kuala Lumpur, Bogota &amp; Portland. With our exceptionally talented &amp; diverse team, and our A+ client portfolio, the world is our oyster!
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently looking for a Senior Data Engineer to join our team in T&uuml;rkiye!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Partner closely with data consumers (Analytics, Product, Business) to translate business requirements into scalable data solutions
  </li>
  <li>
   Design, build, and own
   <strong>
    high-performance, reusable, and scalable data models
   </strong>
   for the data warehouse, enabling consistent self-service analytics
  </li>
  <li>
   Develop and optimize
   <strong>
    complex data transformations
   </strong>
   using SQL and Python
  </li>
  <li>
   Own the full data lifecycle:
   <strong>
    ingestion, transformation, testing, deployment, monitoring, and documentation
   </strong>
  </li>
  <li>
   Ensure high data quality through validation, testing, and proactive issue detection
  </li>
  <li>
   Contribute to analytics enablement by preparing curated datasets suitable for advanced analysis and predictive use cases
  </li>
  <li>
   Work across a modern cloud data stack including
   <strong>
    Snowflake, Databricks, Airflow, Fivetran, AWS, and GCP (BigQuery, Cloud Composer, Dataflow)
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skill Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    7+ years of experience
   </strong>
   as a Data Engineer or Software Engineer in a fast-paced, data-driven environment
  </li>
  <li>
   Proven ability to
   <strong>
    lead end-to-end data engineering projects
   </strong>
   with minimal supervision
  </li>
  <li>
   Strong expertise in
   <strong>
    SQL and Python
   </strong>
   , with hands-on experience in data modeling and data warehousing
  </li>
  <li>
   Experience with transformation frameworks and orchestration tools such as
   <strong>
    dbt, Airflow, Cloud Dataflow
   </strong>
  </li>
  <li>
   Solid understanding of
   <strong>
    software engineering best practices
   </strong>
   applied to data (version control, testing, CI/CD)
  </li>
  <li>
   Strong experience building scalable data pipelines and warehouses using
   <strong>
    cloud platforms
   </strong>
   (Snowflake, AWS, GCP, Databricks/Spark)
  </li>
  <li>
   Hands-on experience with
   <strong>
    ETL/ELT processes
   </strong>
   , scheduling tools, and API-based data integrations
  </li>
  <li>
   Familiarity with data visualization tools (e.g. Looker, Tableau, Adobe Analytics, Power BI) to support analytics use cases
  </li>
  <li>
   Strong attention to detail and a proactive approach to identifying and resolving data quality issues
  </li>
  <li>
   Self-starter with strong ownership, problem-solving, communication, and stakeholder management skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHAT WE OFFER
  </strong>
 </p>
 <p>
  <strong>
   Hybrid Work Model
  </strong>
  💻: We continue to prioritize flexibility, boost productivity, and support a balanced work-life environment for our employees for our employees in &Idot;stanbul, Ankara and &Idot;zmir!
 </p>
 <p>
  <strong>
   Meal Allowance🍔:
  </strong>
  We provide a meal card of 300 TRY per working day.
 </p>
 <p>
  <strong>
   Private Health Insurance
  </strong>
  🩺: We provide private health insurance from Allianz.
 </p>
 <p>
  <strong>
   Private Pension Plan💰:
  </strong>
  Pension payment to support your retirement benefits.
 </p>
 <p>
  <strong>
   Birthday Time Off🎂:
  </strong>
  A half-day off is granted on birthdays.
 </p>
 <p>
  <strong>
   Additional Annual Leave Days on the 1st year🎉:
  </strong>
  7.5 additional leave days, effective start date in NMQ empowers our employees to balance their work and personal lives seamlessly.
 </p>
 <p>
  <strong>
   Mental Health &amp; Support💆🏻 &female;️:
  </strong>
  Free company subscription to our mental health &amp; support partner
  <strong>
   &lsquo;&rsquo;Openup&rsquo;&rsquo;.
  </strong>
 </p>
 <p>
  <strong>
   Referral Program👫🏻:
  </strong>
  Our referral program
  <strong>
   &lsquo;&rsquo;Friends2Work&rsquo;&rsquo;
  </strong>
  encourages our employees to refer their friends followed by a cash award once they are hired.
 </p>
 <p>
  <strong>
   Self-Improvement
  </strong>
  💪🏻: Access to numerous online courses and training in our own in-house training platform
  <strong>
   NMQ Academy
  </strong>
  &amp; access to our exclusive
  <strong>
   Mentorship Program
  </strong>
  provided by our brilliant senior peers.
 </p>
 <p>
  <strong>
   Team Environment👑:
  </strong>
  We give you to opportunity to work with global brands together with a fun, diverse, and dynamic team and become a part of a global success story!
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you are interested in joining our team, please apply with your CV.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   By applying to this job advertisement, you accept that you have shared your personal data within the scope of the clarification text we have provided at www.nmqdigital.com
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  NMQ Digital is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Don't be discouraged if you feel that you don&rsquo;t fully meet every single one of the requirements for a particular role, there is always room for growth in NMQ!
 </p>
 <p>
  <br/>
 </p>
 <p>
  Should your application be successful, a member of our Talent Acquisition team will make contact with you shortly. If, however, you are not contacted regarding the position you applied for within 30 days, please consider that your application has not been successful for that role.
 </p>
 <p>
 </p>
</div>


Aristocrat

<div><p>At Aristocrat, we are committed to bringing happiness to life through the power of play, and we are seeking experienced individuals who share our passion and ambition. An outstanding opportunity awaits for a highly skilled Senior Data Engineer to join our exceptional team.</p><p></p><p>
As a Senior Data Engineer at Aristocrat, you will collaborate with industry experts to provide flawless, scalable data solutions. You will be pivotal in constructing robust data pipelines and ensuring the security and reliability of our data infrastructure. This is your chance to define a significant impact and join an organization that values innovation and excellence.</p><p></p>
What You'll Do<p></p><ul><li>
Build, develop, and maintain batch and streaming data pipelines.</li><li>
Implement scalable data transformations using Python scripts and orchestrate workflows via Airflow or equivalent tools.</li><li>
Integrate with data platforms such as Snowflake, ensuring efficient data storage and retrieval.</li><li>
Generate and maintain large databases from various sources of structured and unstructured data.</li><li>
Write optimized SQL and Python scripts for data manipulation and ETL processes.</li><li>
Maintain data quality, observability, and pipeline reliability through monitoring and alerting.</li><li>
Collaborate with analytics and business teams to deliver high-impact data solutions.</li><li>
Follow guidelines for version control, documentation, and CI/CD in a collaborative environment.</li></ul><p></p>
What We're Looking For<ul><li>
3+ years of hands-on experience in data engineering.</li><li>
Strong experience with:</li><li>
Snowflake or similar cloud data warehouses.</li><li>
Airflow or other orchestration tools.</li><li>
Python, SQL, and shell scripting.</li><li>
Hands-on experience with AWS, Azure, or GCP (PubSub, GCS) services.</li><li>
Good understanding of data architecture, security, and performance tuning.</li><li>
Familiarity with version control (e.g., Git), CI/CD tools, and agile workflows.</li><li>
Understanding of how to effectively coordinate and model data for storage, retrieval, and analysis.</li></ul><p></p>
Preferred Qualifications<ul><li>
Experience with data streaming tools.</li><li>
Exposure to infrastructure-as-code tools like Terraform.</li><li>
Prior experience working with fast-paced product or analytics teams.</li><li>
Familiarity with BI tools (Power BI, Looker, Tableau).</li></ul><p></p><p><b>
Why Aristocrat?</b></p><p></p><p>
Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We&rsquo;re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.</p><p></p><p>
We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V</p><ul><li><p>
World Leader in Gaming Entertainment</p></li><li><p>
Robust benefits package</p></li><li><p>
Global career opportunities</p></li></ul><p></p><p><b>
Our Values</b></p><ul><li><p>
All about the Player</p></li><li><p>
Talent Unleashed</p></li><li><p>
Collective Brilliance</p></li><li><p>
Good Business Good Citizen</p></li></ul><p></p><p><b>
Travel Expectations</b></p>
None<p></p><p><b>
Additional Information</b></p><p><i>
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.</i></p></div>

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Senior Data Engineer<p></p>
We are looking for a Data Engineer to join the Data Engineer team. This is a pivotal role, responsible for supporting multiple Data Analysts and Data Scientists day-to-day and assisting various data-driven requests across the company. The position involves a wide variety of technical skills, from coding to infrastructure, from data analysis to database management. The ideal candidate will have experience working with large-scale data and building automated data ETL processes for large-scale data analysis. ODS or data warehousing experience would be ideal.<br>
<br>
Key responsibilities include:
<br>
<ul><li>Build and maintain database technologies, environments, and applications, seeking opportunities for improvements and efficiencies.</li><li>Should have strong hands-on experience and knowledge on PL/SQL and Java and Spring boot</li><li>Write SQL statement procedures to optimize SQL execution and query development.</li><li>Effectively utilizes various technology like PL/SQL packages for ETL.</li><li>Manages the deployment of data solutions that are optimally standardized and database updates to meet project deliverables.</li><li>Leads database security posture, which includes proactively identifying security risks and implementing both risk mitigation plans and control functions.</li><li>Supports process improvement efforts to identify and test opportunities for automation and/or reduction in time to deployment.</li><li>Participating in the entire solution development cycle from requirement gathering to solution deployment.</li><li>Working with multiple stakeholders across teams to fulfill ad-hoc investigations, including large-scale data extraction, transformation, and analyses.</li><li>Supporting production code to produce comprehensive and accurate data artifacts.</li><li>Promoting strategies to improve our data modeling, quality, and architecture.</li></ul><br>
All About You:
<br>
<ul><li>Should have experience working on Oracle (PL/SQL) writing optimized SQL queries and packages</li><li>Skilled in Java and Spring boot to write application programming code/ build services.</li><li>Highly skilled in SQL knowledge and relational databases.</li><li>Experienced with developing and maintaining data pipelines for the extraction, transformation, and/or loading of large-scale data (knowledge on any ETL is good to have).</li><li>Strong with Data warehousing concepts and ETL concepts.</li><li>Experienced with working with large data sets. You&rsquo;ve implemented parallel processing and have dealt with the limitations and challenges of working with terabytes of data.</li><li>Strong analytics skills related to working with unstructured datasets.</li><li>Experienced with performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.</li><li>Experienced with database administration and query optimization with different databases.</li><li>Capable of effectively communicating requirements and solutions to audiences with different skill sets.</li><li>Familiarity with the core requirements of data analysis and/or presentation.</li><li>Focused, innovative, and self-sufficient problem solver who is willing to independently and creatively deep-dive into an issue, cut to the heart of a problem, and solve it.</li></ul><br>
Bonus Points if:<br>
You have any prior experience with any of the following:
<br>
<ul><li>Jenkins, JFrog, Datadog, Splunk.</li><li>Familiarity with cloud data platforms like Snowflake and Databricks.</li><li>Knowledge on application programming Spark (Scala).</li><li>Javascript, regex</li><li>BI Tools: PowerBI, Tableau</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

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