data platform engineer

Peraton

<div><div><h5 class="jobSectionHeader">About Peraton</h5>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.
</div><div><h5 class="jobSectionHeader">Program Overview</h5>
<div>RDG (Risk Decision Group) provides nationwide background investigations compliant with national government standards to include support of continuous vetting for over 110 government agencies.</div>
</div><div><h5 class="jobSectionHeader">About The Role</h5>
<div>Peraton is hiring a Data Architecture, Lead Associate. This work is 100% remote. 
This role builds and extends a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform's lead engineer, you'll develop and maintain the pipelines, transformations, and data products that move the platform forward &mdash; growing your ownership as the platform matures. This is hands-on engineering in a high-trust environment where FedRAMP Moderate, NIST 800-171, and CUI handling shape how the work is built.
Active clearance preferred; candidates able to obtain one encouraged to apply.
<ul><li>Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.</li>
<li>Extend the platform following the architecture, patterns, and standards set by the lead platform engineer.</li>
<li>Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment.</li>
<li>Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues.</li>
<li>Apply data governance, cataloging, and access-control practices within the established framework.</li>
<li>Support the data science and ML team by delivering the governed datasets and tooling they need.</li>
<li>Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering.</li>
<li>Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes.</li>
</ul></div></div><div><h5 class="jobSectionHeader">Qualifications</h5>
<div>Required Qualifications
<ul><li>U.S. Citizenship required.</li>
<li>Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.</li>
<li>4 years building and maintaining production data pipelines.</li>
<li>Strong proficiency in Python and SQL.</li>
<li>Hands-on ETL / data pipeline development and sound analytical data modeling.</li>
<li>Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows.</li>
<li>Solid analytical, troubleshooting, and communication skills.</li>
<li>5 years work experience with BS/BA</li>
</ul>Preferred Qualifications
<ul><li>Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake).</li>
<li>Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads.</li>
<li>Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling.</li>
<li>Active security clearance (T5/SSBI or higher).</li>
<li>Government or defense contracting experience.</li>
<li>Familiarity with data governance / cataloging tooling (e.g., Unity</li>
<li>Catalog) and orchestration tools (Airflow, dbt).</li>
</ul>Soft Skills
<ul><li>Dependable, self-directed execution with minimal oversight.</li>
<li>Strong collaboration across technical and non-technical teams.</li>
<li>Clear documentation and knowledge-sharing.</li>
<li>Eagerness to grow ownership and learn the compliance environment.</li>
</ul>#RDG
</div></div><div><h5 class="jobSectionHeader">Details</h5>
<div>Target Salary Range: $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</div><div>Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
</div><div>Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.
</div>EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div></div><div></div>

Senior Data Platform Engineer

Georgia-Pacific

<div>Your Job
As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help deliver trusted, high-quality data across hundreds of systems and thousands of data assets. You will own, deliver, operate, and help architect the Enterprise Data Lake, Ingestion Framework, and Databricks Platform while partnering with Data Governance, Data Delivery, Product Owners, and Solution Architects to keep the platform reliable, scalable, governed, and aligned with business needs.
This role is based in our Atlanta, GA HQ office located on Peachtree St. The expectation is hybrid (3x) in office per week.
Our Team
The Georgia Pacific Data Platform team builds, manages, &amp; operates centralized products that support Georgia Pacific's Business Units and IT. These products enable data to be ingested, stored, processed, governed, managed, presented, and consumed consistently across the enterprise.
What You Will Do 
<ul><li>
Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks), ensuring reliability, integrity, and cost efficiency data and data infrastructure
</li><li>Collaborate with cross-functional teams to deliver features, maintain a healthy agile process, and enhance platform accessibility for customers
</li><li>Drive automation, operational excellence, and continuous improvement through performance monitoring, issue resolution, and development of self-service tools
</li></ul>Who You Are (Basic Qualifications) 
<ul><li>
Experience designing, building, and maintaining large-scale distributed systems
</li><li>Experience serving as a senior technical leader overseeing multiple data engineering teams
</li><li>Experience in architectural design and systems integration for multi-stakeholder, enterprise-grade platforms
</li><li>Experience leading operations for highly available data platforms and data lakes
</li><li>Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code practices and skilled in GIT and CI/CD design patterns
</li><li>Must have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship
</li></ul>What Will Put You Ahead 
<ul><li>
Delivered innovative, scalable data solutions using Python, SQL, Spark, and Delta Lake, while optimizing data accessibility with open table formats (Delta, Hudi, Iceberg)
</li><li>Enhanced system efficiency and reliability by leveraging Terraform, Git/CI-CD workflows, and DAG tools (Airflow, Step Functions, Databricks Declarative Pipelines)
</li><li>Implemented and optimized the Databricks Data Platform and AWS services (Lambda, Glue, EventBridge, ECS, Kafka, etc.) to support business objectives
</li></ul>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.
Who We Are
As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf
#LI-RR1</div>

Lead Data Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
We are hiring a fully remote Data Engineer with strong SQL and Python experience to join our Data Engineering team. You will contribute to the design, development, and maintenance of data pipelines and platform infrastructure that power a new internal self-service application. Working alongside senior engineers, you will help modernize how data is ingested, transformed, and served &mdash; enabling application teams across the company to own and manage their data with greater speed and reliability. This is an opportunity to grow your data engineering skills on a high-visibility platform initiative with direct impact on data quality and accessibility.
About this Role
This is a fully remote position open to candidates anywhere in the US. This role is well-suited for a detail-oriented engineer who takes pride in building reliable, well-tested data pipelines and is eager to deepen their expertise in modern data platforms. You will work with growing autonomy on well-defined tasks, collaborating closely with senior engineers who will provide guidance, mentorship, and code review. You are expected to ask good questions, communicate blockers promptly, and take ownership of your contributions from implementation through production monitoring. You will have access to AI development tools &mdash; including Claude, Snowflake CoCo, and Copilot &mdash; to assist across all phases of the SDLC.
You will contribute to a platform that provides:<ul><li>
Self-Service Data Ingestion &mdash; Build and maintain the pipelines that enable application teams to register Kafka topics, update schemas, and ingest data, reducing lead times from weeks to minutes.</li><li>
Automated Monitoring &amp; Incident Management &mdash; Implement standardized logging, alerting, and escalation to improve pipeline reliability and issue resolution.</li><li>
Data Preview Capabilities &mdash; Support features that allow application engineers to preview how their data will appear in the warehouse before it reaches production.</li></ul>
About the Project: The Data Self-Service Platform
The Data Self-Service Platform addresses critical challenges in our current data operations. Today, data ingestion is often manual and ticket-driven, leading to delays and limiting self-service for application teams. You will help build a platform that empowers data owners to ingest, transform, and serve their data &mdash; giving them full control and accountability for data quality. This platform will enable data producers and consumers to collaborate efficiently, address issues directly, and streamline testing changes.
Key Responsibilities<ul><li>
Build, maintain, and improve data pipelines and ETL/ELT processes using Python, contributing to reliability, scalability, and observability.</li><li>
Write and optimize SQL queries to support data ingestion, transformation, troubleshooting, and validation across the data warehouse.</li><li>
Contribute to data modeling efforts and help maintain the integrity and structure of datasets within the Snowflake data platform.</li><li>
Integrate with Kafka-driven event streams to support real-time and near-real-time data ingestion under the guidance of senior engineers.</li><li>
Write clean, well-tested code; ensure thorough unit and integration test coverage for pipeline components you build.</li><li>
Participate in code reviews, giving and receiving constructive feedback to uphold team quality standards.</li><li>
Contribute to CI/CD workflows using GitHub Actions and validate pipeline correctness post-deployment.</li><li>
Implement logging and observability instrumentation for pipelines you own, and respond to production alerts as part of team on-call rotation.</li><li>
Communicate blockers and progress clearly; escalate issues with appropriate urgency.</li><li>
Leverage AI development tools (Claude, Snowflake CoCo, Copilot) to improve development speed and code quality.</li><li>
Actively seek out mentorship and coaching from senior engineers; share learnings with teammates.</li></ul>
Required Qualifications<ul><li>
2 years of professional data engineering or software development experience.</li><li>
Strong, demonstrated proficiency in SQL &mdash; including writing, optimizing, and troubleshooting complex queries against large datasets.</li><li>
Experience working with at least one cloud data warehouse or data platform (Snowflake, BigQuery, Amazon Redshift, Azure Synapse Analytics, or Databricks).</li><li>
Proficiency with Git-based version control, including branching, pull requests, and code review workflows.</li><li>
Familiarity with CI/CD concepts and participation in automated deployment workflows (GitHub Actions).</li></ul>
Preferred Qualifications<ul><li>
Hands-on experience building and maintaining data pipelines or ETL/ELT processes using Python.</li><li>
Familiarity with Snowflake &mdash; any exposure to querying, schema concepts, or warehouse basics is a plus; it is a core platform tool for this team.</li><li>
Experience writing unit and integration tests for data pipeline components.</li><li>
Any exposure to DBT (Data Build Tool) or similar transformation frameworks; DBT is a key part of our data workflow and familiarity is a strong plus.</li><li>
Familiarity with Kafka or similar event-streaming platforms (RabbitMQ, AWS SNS/SQS).</li><li>
Familiarity with containerized development (Docker).</li><li>
Basic exposure to Terraform or infrastructure-as-code concepts.</li><li>
Awareness of structured logging, pipeline health checks, and monitoring/alerting tooling.</li><li>
Familiarity with REST API integration patterns.</li><li>
Experience with AI-enhanced development tools such as Claude, Snowflake CoCo, or Copilot.</li></ul>
Education<ul><li>
Bachelor of Science in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent work experience.</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/31/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Data Engineer

Reach Financial

<div>What is Reach Financial?
Reach Financial is a FinTech platform helping people outsmart debt for good. 
We are building innovative products and best-in-class support that enable our customers to take control of their debt and de-mystify their personal finances. Our products and tools empower our customers to turn their financial goals into a reality. 
Reach Financial launched in 2015 and has helped our customers pay off over $1 billion in debt. We offer debt consolidation loans and personal loans; together, these markets represent a $1.5T opportunity. In time, we will expand beyond these products to offer solutions for a variety of our customers' personal finance challenges. 
We are a fast-growing and fast-paced FinTech startup with the stability of an established firm. You will have a front-row seat at a rapidly growing company innovating the FinTech industry. 
About the role
As a Data Engineer II, you will be a key contributor to Reach's data platform modernization efforts. Working closely with Data Engineering, Analytics, Product, and Platform Engineering teams, you will design, build, and maintain reliable data pipelines, transformations, and models that power reporting, analytics, and operational decision-making. 
This role is ideal for an engineer who can independently deliver solutions to well-defined problems, participate in technical design discussions, and continuously improve the quality and reliability of our data ecosystem. 
What you'll do<ul><li>
Design, build, and maintain scalable data pipelines, transformations, and data models using modern ELT practices</li><li>
Participate in incident response and operational support activities, including occasional off-hours coverage for critical production issues, data incidents, and major platform deployments</li><li>
Develop and support data assets that enable reporting, analytics, and operational workflows</li><li>
Participate in technical design discussions and contribute to implementation planning and solution documentation</li><li>
Collaborate with analysts, data scientists, software engineers, and business stakeholders to understand requirements and deliver effective data solutions</li><li>
Troubleshoot data quality, reliability, and performance issues across data pipelines and systems</li><li>
Monitor and improve existing implementations by identifying gaps, inefficiencies, andopportunities for automation</li><li>
Contribute to engineering best practices around testing, version control, documentation, anddata quality</li><li>
Support deployment and maintenance of data pipelines through established CI/CD processes</li><li>
Participate in code reviews and provide constructive feedback to peers</li><li>
Continuously develop technical expertise and apply new tools, techniques, and approaches where appropriate</li></ul> 
What you should have<ul><li>
3&ndash;5 years of hands-on experience in Data Engineering, Analytics Engineering, or a relateddata-focused role</li><li>
Experience working in a product-oriented data squad, partnering closely with Product,Analytics, and Engineering to deliver end-to-end data solutions and data products</li><li>
Experience working with modern data platforms and tools such as dbt (Core or Cloud),Amazon RDS, PostgreSQL, or similar technologies; strongly preferred: experience withSnowflake (our primary data warehouse platform)</li><li>
Strong SQL skills with experience developing data transformations and data models</li><li>
Experience building and maintaining ETL/ELT pipelines</li><li>
Experience with Python or a similar programming language</li><li>
Understanding of data modeling, warehousing concepts, and relational databases</li><li>
Experience using Git-based development workflows</li><li>
Ability to independently manage assigned workstreams and deliver high-quality solutions</li><li>
Strong communication, collaboration, and problem-solving skills</li><li>
Demonstrated ability to learn new technologies, tools, and business domains and apply them effectively</li></ul> 
Nice to Have<ul><li>
Experience preparing and modeling data for analysis in Tableau, Sigma, or other BI tools</li><li>
Experience with reverse ETL / data activation tools such as FiveTran activations, Hightouch,etc</li><li>
Familiarity with dbt coding conventions and Medallion data architecture (i.e. Bronze, Silver, Gold data layers)</li><li>
Experience working in the Financial Services industry and familiarity with working in a SOC2and PCI-DSS environment</li></ul> 
Successful candidates will<ul><li>
Independently deliver reliable solutions to defined business and technical problems</li><li>
Balance implementation speed with maintainability and long-term platform health</li><li>
Create well-structured solutions to known problems and navigate moderate ambiguity</li><li>
Identify risks within their work and proactively propose mitigations</li><li>
Effectively troubleshoot user and system issues while contributing to continuous improvement</li><li>
Expand their technical expertise and apply new learnings to improve outcomes</li><li>
Collaborate effectively with stakeholders and engineering partners to clarify requirements and deliver value</li><li>
Contribute positively to team culture through knowledge sharing, collaboration, and constructive feedback</li></ul> 
What is it like working at Reach Financial?
Our culture is built around advancing our teams, and we are dedicated to the success and growth of every team member. We believe in retaining a high-performing workforce and we prioritize diversity, intellectual curiosity, and continued learning. Our generous benefits packages reflect that. 
We&rsquo;ve been hard at work perfecting our product for years, and now we&rsquo;re growing faster than ever before. Our strong foundation and company culture is readily equipped for this growth, and we believe that with the right people, our products will continue to help customers make real changes in their financial lives. 
What benefits will you receive?<ul><li> Remote First Culture with optional Hybrid opportunities</li><li> Healthcare, Life Insurance, 401k Match</li><li> Paid Time Off, Paid 12-week Parental Leave</li><li> Disability (short-term, long-term), Employee Assistance Program</li><li> Spending Accounts (Transit/Parking, Medical, Dependent Care)</li><li> Insurance Discounts (home, auto, pet)</li></ul> 
The pay range for this role is: 
120,000 - 150,000 USD per year(Remote (United States))</div>

Data Engineer II

Valleysoft

<div>Valleysoft is a regional IT services provider delivering enterprise technology, application development, process management, and IT support services to clients around the world. Working across the Information Technology and Services sector, the company helps organizations build reliable, scalable digital solutions that support complex business and operational needs.
This role is an opportunity to contribute to modern data platform initiatives that power analytics and AI use cases across the enterprise. As a Data Engineer &ndash; Data Platforms (Databricks), you will play a central role in shaping data infrastructure, supporting cross-functional teams, and helping ensure data systems are performant, secure, and built to scale.
Responsibilities<ul><li>
Design, develop, and maintain scalable data pipelines for batch and real-time processing.</li><li>
Build and optimize enterprise data platforms using Databricks and Apache Spark.</li><li>
Develop ETL/ELT processes to ingest, transform, and integrate data from multiple sources.</li><li>
Implement Delta Lake architecture and maintain data lake/lakehouse solutions.</li><li>
Collaborate with Data Scientists, AI Engineers, Business Analysts, and application teams to support analytics and AI initiatives.</li><li>
Optimize data storage, partitioning, and query performance.</li><li>
Develop reusable data engineering frameworks and automation solutions.</li><li>
Implement data quality, validation, lineage, and governance processes.</li><li>
Ensure data security, privacy, and compliance with enterprise standards.</li><li>
Monitor platform performance, troubleshoot production issues, automate deployment and infrastructure, contribute to architecture reviews, and maintain technical documentation and runbooks.</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
6+ years of data engineering experience working with Databricks and Apache Spark.</li><li>
Strong experience with Python and SQL, along with hands-on involvement in ETL/ELT processes.</li><li>
Experience working with Delta Lake and cloud platforms.</li><li>
Fluent in English.</li><li>
Eligibility to work in Egypt.</li></ul></div>

Data Engineer - Data Platforms (Databricks)

Henkel

<div>
 
 About this Position
 
 The Data Engineer supports the development and operation of Henkel&rsquo;s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers.
 
 
 As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Build and maintain scheduled metadata ingestion pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub
 </li>
 <li>
 Support and enhance governance automation solutions covering dataset compliance, ownership, descriptions, lineage, and automated tagging
 </li>
 <li>
 Develop and improve data quality and completeness scoring capabilities across the enterprise data landscape
 </li>
 <li>
 Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support metadata operations and integrations
 </li>
 <li>
 Contribute to AI-enabled metadata access capabilities supporting intelligent assistants and modern AI solutions
 </li>
 <li>
 Build and maintain data lineage between source systems and downstream consumers
 </li>
 <li>
 Develop scalable cloud-native solutions running on Azure Kubernetes Service (AKS)
 </li>
 <li>
 Collaborate with global and cross-functional teams to support scalable and reliable enterprise data solutions
 </li>
 <li>
 Support engineering best practices including testing, monitoring, and continuous platform enhancements
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 </li>
 <li>
 Strong experience with Python and SQL, including working with analytical databases such as PostgreSQL or Databricks
 </li>
 <li>
 Experience building and maintaining scalable and scheduled data pipelines, including automation, error handling, and reliability practices
 </li>
 <li>
 Understanding of REST APIs, GraphQL, and system integrations
 </li>
 <li>
 Experience with cloud platforms and services, preferably Microsoft Azure and Databricks
 </li>
 <li>
 Familiarity with containerization technologies and Kubernetes-based environments
 </li>
 <li>
 Experience with metadata platforms or data governance solutions such as DataHub or similar tools is considered a plus
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure automation, and modern engineering practices is an advantage
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Ability to work independently and collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 Passion for data quality, governance, automation, and scalable engineering solutions
 </li>
 <li>
 Comfortable working with modern technologies, open-source solutions, and continuously learning new concepts and tools
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Global wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

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