data warehousing engineer

sonnen Egypt

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 5268
 <br/>
 <br/>
 Join the energy revolution with #teamsonnen!
 <br/>
 <br/>
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 <br/>
 <br/>
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 <br/>
 <br/>
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 <br/>
 <br/>
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 <br/>
 <br/>
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 <br/>
 <br/>
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
  </li>
  <li>
   You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
  </li>
  <li>
   You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
  </li>
  <li>
   You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
  </li>
  <li>
   You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
  </li>
  <li>
   You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
  </li>
  <li>
   You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
  </li>
  <li>
   You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
  </li>
  <li>
   You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
  </li>
  <li>
   You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
  </li>
  <li>
   You are fluent in English. German is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Database, Quality Assurance, Computer Science, SQL, Technology
</div>


Data Engineer (m/w/d)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.<br>
<br>
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients.<br>
<br>
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.<br>
<br>
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.<br>
<br>
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts.<br>
<br>
Key job responsibilities<br>
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs<br>
<br>
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools<br>
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements<br>
<br>
Automate and optimize reporting processes to enable self-service analytics for stakeholders<br>
Translate business problem statements into technical analysis requirements<br>
<br>
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions<br>
Develop measurement frameworks that quantify customer experience and drive business outcomes<br>
<br>
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs<br>
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques<br>
<br>
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation<br>
<br>
Troubleshoot operational data quality issues and audit existing data pipelines and queries<br>
<br>
Recommend improvements to back-end data sources for increased accuracy and simplicity</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 145,300.00 - 196,600.00 USD annually<br>
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually<br>
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, AWS GDSP A&I

InterEx Group

<div>
 <p>
  A big client of ours in New York is currently searching for a AWS Data Engineer.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are one of the largest Retail businesses globally with over 100,000 employees whereby they are working extensively with AWS and are looking to build a team of AWS Data Engineers to support the build-out of a brand new data platform on AWS Data Lake. They are looking to hire 5 people for this team and are open to hiring both Contract and Full Time Employees.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Role Essentials:
 </p>
 <ul>
  <li>
   AWS Experience
  </li>
  <li>
   Data Modernization
  </li>
  <li>
   Data Bricks
  </li>
  <li>
   Data Lake
  </li>
  <li>
   Data Factory
  </li>
  <li>
   AWS certifications are a plus
  </li>
 </ul>
 <p>
 </p>
</div>


AWS St Data Engineer

Endeavor Health

<div><p><b>Hourly Pay Range:</b></p>
$41.64 - $64.54 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors.<p></p><p><b>
Position Highlights:</b></p><ul><li>
Position: Cloud Data Engineer</li><li>
Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice)</li><li>
Full Time</li><li>
Hours: Monday-Friday, 8:00am - 4:30pm</li><li>
Hybrid Position</li></ul><p><b><br>
Job Summary:
</b></p><p>The Cloud Data Engineer is considered a subject matter expert, involved with all phases of software development from design to implementation to post implementation problem solving. This position is easily able to code, tests, debugs and documents program applications specific to their team. May be required to develop application designs, devise or modify procedures to solve system software or user problems and prepare detailed specifications. This position may be required to mentor peers and provide educational/informational sessions to improve workflows, troubleshooting or system design pertaining to their team.<br>
<br>
<b>What you will do:</b></p><ul><li>
Assist in designing and implementing scalable cloud data architectures using Snowflake and Azure.</li><li>
Support the setup and configuration of Snowflake environments (warehouses, roles, resource monitors, data sharing).</li><li>
Work with Azure services such as Azure Data Factory, Azure Blob Storage, Azure Data Lake Storage (ADLS), Azure Key Vault, and Azure Active Directory.</li><li>
Collaborate with data engineers to design and optimize ELT/ETL pipelines.</li><li>
Help optimize Snowflake performance (clustering, partitioning, query optimization, warehouse sizing).</li><li>
Assist in implementing role-based access control (RBAC) within Snowflake and Azure.</li><li>
Support data security strategies including encryption, masking, and row/column-level security.</li><li>
Monitor system performance and cost usage in Snowflake and Azure.</li><li>
Support cost optimization strategies and resource scaling.</li><li>
Troubleshoot data load and performance issues.</li><li>
Document architecture designs, data flows, and standards.</li><li>
Collaborate with enterprise architects, data engineers, BI teams, and security teams.</li><li>
Participate in design reviews and contribute to architecture best practices.</li></ul><p></p><p><b>
What you will need:</b></p><ul><li><b>
Education: </b>4-year college degree in computer science/information systems preferred or equivalent experience.
</li><li><b>Experience:
</b></li><li>4+ years of enterprise data warehouse industry experience</li><li>
2+ years of experience in cloud data engineering or cloud platform support</li><li>
4+ years of experience with data architecture and implementing data warehouse data marts</li><li>
Understanding of cloud networking basics (VNet, private endpoints, firewall rules)</li><li>
Hands-on experience with:<ul><li>
Snowflake (data loading, SQL development, warehouse management)</li><li>
Microsoft Azure (ADF, Blob Storage, IAM concepts)</li></ul></li><li>
Familiarity with CI/CD pipelines and DevOps concepts</li><li>
Informatica Power Center/ Cloud Data Integration experience a plus</li><li>
4+ years of experience in writing complex SQL</li><li>
Strong analytical, problem solving, negotiation, issue resolution and facilitation skills are required</li><li>
Excellent written and verbal communication and decision-making skills</li><li>
Experience and understanding of data sources including 3rd party RDBMS, SQL server and Oracle</li><li>
Experience in QA/QC testing a plus</li><li>
Project management skills a plus</li><li>
Experience working with Research data models like OMOP/CAPriCORN a plus</li><li>
Experience with Business Intelligence tool like Power BI a plus</li><li>
Familiarity with healthcare industry, healthcare information systems is a plus</li></ul><p></p><p><b>
Benefits (For full time or part time positions):</b></p><ul><li>
Incentive pay for select positions</li><li>
Opportunity for annual increases based on performance</li><li>
Career Pathways to Promote Professional Growth and Development</li><li>
Various Medical, Dental, Pet and Vision options</li><li>
Tuition Reimbursement
</li><li>Free Parking</li><li>
Wellness Program Savings Plan
</li><li>Health Savings Account Options</li><li>
Retirement Options with Company Match</li><li>
Paid Time Off and Holiday Pay</li><li>
Community Involvement Opportunities</li></ul><p></p><p>
Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals &ndash; Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) &ndash; all recognized as Magnet hospitals for nursing excellence. For more information, visit www.endeavorhealth.org.</p><p></p><p>
When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential.</p><p></p><p>
Please explore our website (www.endeavorhealth.org) to better understand how Endeavor Health delivers on its mission to &ldquo;help everyone in our communities be their best&rdquo;.</p><p></p><p>
Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information.</p><p></p><p>
At Endeavor Health, we are united by a shared commitment to working together to create a culture of connection and belonging&mdash;each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. Every person, every time. We are committed to fostering an environment where all team members can be their best, learn, and pursue excellence together.</p><p></p><p>
EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.</p></div>

Cloud Data Engineer – EDW

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Software Engineer II - EDW is responsible for building and maintaining the data pipelines and structures that power our enterprise analytics. Working within the EDW ecosystem, you will develop curated datasets, maintain semantic layer logic, and ensure the reliability of data products. You will work alongside senior engineers to implement architectural standards, helping to transform raw data into actionable insights while focusing on data integrity, performance, and scalability.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
20% Learning - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically repots to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
1&ndash;3 years of experience in data engineering or a backend-heavy technical role.</li><li>
Proficiency in SQL &amp; Python for complex data transformation and automation.</li><li>
Hands-on experience with Cloud Data Warehouses (BigQuery preferred).</li><li>
Experience in Data Modeling, specifically building curated or ADS (Analytical Data Store) layers.</li><li>
Exposure to Orchestration &amp; CI/CD tools such as Airflow, Jenkins, and Git.</li><li>
Experience in Data Validation, including unit testing and root cause analysis for pipeline failures.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
2</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div><p></p>

Software Engineer II - Enterprise Data Warehouse (Remote)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><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>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

Soothsayer Analytics

<div><div><div><p>Company : <b>Soothsayer Analytics</b></p>
<p>Working Hours : <b>Full Time</b></p>
<p>Locations : <b>Hyderabad</b></p>
<p>Experience : <b>4&ndash;6 Years</b></p><p><br>
</p></div>
</div><b>About the Role:
</b><div><div><p>Soothsayer Analytics is a global AI &amp; Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning &amp; GenAI solutions&mdash;spanning predictive analytics, optimization, NLP, and enterprise-scale AI platforms&mdash;that help leading enterprises forecast, automate, and gain a competitive edge.
</p><p>As a Data Engineer, you will build the foundation that powers these AI systems&mdash;scalable, secure, and high-performance data pipelines.
</p><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
<p>We seek a Data Engineer (Mid-level) with 4&ndash;6 years of hands-on experience in designing, building, and optimizing data pipelines. You will work closely with AI/ML teams to ensure data availability, quality, and performance for analytics and GenAI use cases.
</p><h5 class="jobSectionHeader"><b>Key Responsibilities</b></h5>
<p><b>1. Data Pipeline Development</b></p>
<ul><li>Build and maintain scalable ETL/ELT pipelines for structured and unstructured data.</li>
<li>Ingest data from diverse sources such as APIs, streaming, and batch systems.</li>
</ul><p><b>2. Data Modeling &amp; Warehousing</b></p>
<ul><li>Design efficient data models to support analytics and AI workloads.</li>
<li>Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake.</li>
</ul><p><b>3. Big Data &amp; Streaming</b></p>
<ul><li>Work with distributed systems like Apache Spark, Kafka, or Flink for real-time and large-scale data processing.</li>
<li>Manage feature stores for machine learning pipelines.</li>
</ul><p><b>4. Collaboration &amp; Best Practices</b></p>
<ul><li>Work closely with Data Scientists and ML Engineers to ensure high-quality training data.</li>
<li>Implement data quality checks, observability, and governance frameworks.</li>
</ul><h5 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h5>
<ul><li><b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li>
<li><b>Experience:</b> 4&ndash;6 years in data engineering with expertise in:</li>
</ul><ul><li><b>Programming:</b> Python, Scala, or Java (Python preferred)</li>
<li><b>Big Data &amp; Processing:</b> Apache Spark, Kafka, Hadoop</li>
<li><b>Databases:</b> SQL and NoSQL (Postgres, MongoDB, Cassandra)</li>
<li><b>Data Warehousing:</b> Snowflake, Redshift, BigQuery, or similar</li>
<li><b>Orchestration:</b> Airflow, Luigi, or similar</li>
<li><b>Cloud Platforms:</b> AWS, Azure, or GCP (data services)</li>
<li><b>Version Control &amp; CI/CD:</b> Git, Jenkins, GitHub Actions</li>
<li><b>MLOps / GenAI Pipelines:</b> Feature engineering, embeddings, vector databases</li>
</ul><h5 class="jobSectionHeader"><b>Skills Matrix</b></h5>
<div><div><div><div><div><b>Skill</b></div> <div><b>Details</b></div> <div><b>Last Used</b></div> <div><b>Experience (Months)</b></div> <div><b>Self-Rating (0&ndash;10)</b></div>
</div><br>
</div><div><div><div>Python</div>
</div><br>
<div></div><div><div>SQL / NoSQL</div>
</div><br>
<div></div><div><div>Apache Spark</div>
</div><br>
<div></div><div><div>Kafka</div>
</div><br>
<div></div><div><div>Data Warehousing (Snowflake, Redshift, etc.)</div>
</div><br>
<div></div><div><div>Orchestration (Airflow, Luigi, etc.)</div>
</div><br>
<div></div><div><div>Cloud (AWS / Azure / GCP)</div>
</div><br>
<div></div><div><div>Data Quality / Governance Tools</div>
</div><br>
<div></div><div><div>MLOps / LLMOps</div>
</div><br>
<div></div><div><div>GenAI Integration</div>
</div><br>
</div></div></div><div></div><h5 class="jobSectionHeader"><b>Instructions for Candidates</b></h5>
<ul><li>Provide a detailed resume highlighting end-to-end data engineering projects.</li>
<li>Fill out the above skills matrix with accurate dates, duration, and self-ratings.</li></ul></div></div></div>

Data Engineer

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