database engineer

<div>
 Keep the databases behind a national platform fast, available, and safe, operating enterprise PostgreSQL and a polyglot estate of vector, graph, and search stores that power its applications and its AI, on sovereign infrastructure with no managed cloud to fall back on.
 <br/>
 RQMNA runs the sovereign data platforms that millions of citizens depend on every time they reach their government.
 <br/>
 <br/>
 We are hiring a Senior Database Engineer, on site in Muscat, to own the databases a national platform runs on, from transactional core to AI vector stores.
 <br/>
 <br/>
 What you'll do: Operate the platform's polyglot databases at national scale, fast, resilient, recoverable, and infused with AI/ML/DL/RL
 <br/>
 <br/>
 Key Responsibilities:
 <br/>
 Operate enterprise PostgreSQL as the primary transactional database across the platform, and tune it for performance under national load
 <br/>
 Design and run high availability, replication, and failover, with backup, recovery, and tested point in time restore
 <br/>
 Operate the vector databases behind the platform's AI: Milvus for large scale retrieval and RAG, and pgvector for vectors co-located in PostgreSQL
 <br/>
 Operate the graph database (Neo4j) for case correlation and entity relationships, and the search engine (Elasticsearch) for hybrid and full text search
 <br/>
 Run the specialized PostgreSQL workloads in production: geospatial (PostGIS), time series (TimescaleDB), and document (JSONB)
 <br/>
 Operate the in-memory distributed cache, a secondary enterprise relational store for select product catalogs, and the search-side vector retrieval
 <br/>
 Manage S3 compatible object storage and immutable, long retention archival, and plan capacity across the whole estate
 <br/>
 Run upgrades and patching with no surprise downtime, harden every store with encryption and access control, and automate database operations as code
 <br/>
 <br/>
 What makes you a fit:
 <br/>
 You have operated production databases at scale, and carried the pager for them
 <br/>
 You are a deep PostgreSQL engineer: replication, high availability, backup and recovery, and performance tuning
 <br/>
 You have run at least one vector database in production, such as Milvus or pgvector, for AI or RAG workloads
 <br/>
 You have operated a graph database such as Neo4j, or a search engine such as Elasticsearch, or you can clearly pick them up
 <br/>
 You are comfortable across a polyglot estate, relational, vector, graph, search, time series, and cache, and you pick the right store per workload
 <br/>
 You are at home on premises and sovereign, where there is no managed cloud database to lean on
 <br/>
 You hold a Bachelor's or higher in Computer Science, Engineering, or a related field, or equivalent depth
 <br/>
 You automate operations, take security and recoverability seriously, and you test your backups
 <br/>
 Bonus points for very large datasets, AI data infrastructure, or government and regulated environments
 <br/>
 Fluent English required; Arabic is a valuable advantage
 <br/>
 <br/>
 If you keep the data layer fast and unbreakable, from transactions to AI vectors, a nation will run on it. Apply.
 <br/>
 <br/>
 #Database #PostgreSQL #VectorDatabase #DBA #Hiring
</div>


Senior Database Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience in software development for core system-level software such as databases, operating systems, or kernels.</li>
<li>5 years of programming experience in C, C++ or Java.</li>
<li>3 years of experience building and developing large-scale infrastructure or distributed systems.</li>
<li>3 years of experience with distributed computing.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>Experience with database internals (e.g., PostgreSQL, GraphQL, OLTP databases), transactional systems, compilers, or data storage.</li>
<li>Experience with AI Algorithms.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
As a Software Engineer focusing on semantic search for AlloyDB, you'll have the opportunity to contribute to AI/GenAI features within an innovative, Google open-source PostgreSQL-based database product. You'll play a key role in building new database features that integrate advanced semantic search capabilities.</p><div></div><div><br>
You'll be instrumental in designing, developing, and implementing semantic search capabilities within AlloyDB, focusing on delivering robust, scalable, and high-performance features.</div><div></div><div><br>
You'll be involved in bringing novel innovations to the core database engine, including areas like query processing, indexing, and vector embedding. Your work will directly impact our enterprise customers, empowering them to leverage the power of semantic search within their AlloyDB applications.</div><p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, develop, and implement semantic search capabilities within AlloyDB, focusing on delivering robust, scalable, and high-performance features.</li>
<li>Collaborate with engineers across various teams to understand requirements and build effective semantic search solutions.</li>
<li>Take ownership of specific components and contribute to the team's technical discussions, continuously learning and applying best practices.</li>
<li>Build new database features that integrate advanced semantic search capabilities.</li>
<li>Contribute to key technical projects and work within a fast-moving, innovative environment.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AlloyDB Semantic Search

Chuwa America

<p><b>Position: Data Engineer/Database Administrator</b><br/><b>Duration: 6+ Months Contract</b><br/><b>Location: Bellevue, WA _ Onsite _Local</b></p><p><b>About the Role</b><br/>We&rsquo;re looking for a mid-level Data Engineer &amp; DBA to join our data platform team. You&rsquo;ll build and maintain scalable data pipelines while ensuring our databases are reliable, secure, and high-performing. You&rsquo;ll work closely with analysts, engineers, and product teams to deliver clean and timely data.</p><p><b>What You&rsquo;ll Do</b></p><ul><li>Design, build and maintain ETL/ELT pipelines across multiple systems</li><li>Design and optimize data models in PostgreSQL, MongoDB, and Amazon Redshift</li><li>Develop and manage data workflows using AWS (S3, Glue, Lambda, Step Functions, Kinesis)</li><li>Administer and maintain database environments across development, staging, and production</li><li>Monitor data pipelines and databases, troubleshoot issues, and implement alerts</li><li>Optimize query performance, indexes, and configurations across relational and NoSQL systems</li><li>Manage database provisioning, upgrades, backups, and disaster recovery (RDS, MongoDB, Redshift)</li><li>Ensure database security, including access control, encryption, and role management</li><li>Plan capacity and scale systems to support growing data needs</li><li>Define and enforce data retention and archival policies</li><li>Collaborate with analytics and product teams to support reporting and data needs</li><li>Document data pipelines, database processes, and operational procedures</li><li>Participate in code reviews and follow engineering best practices</li></ul><p><b>Core Skills &amp; Experience:</b></p><ul><li>3&ndash;7 years of experience in data engineering, database administration, or similar role</li><li>Strong experience with PostgreSQL, MongoDB, and Amazon Redshift</li><li>Solid SQL skills for both transactional and analytical workloads</li><li>Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift, etc.)</li><li>Proficiency in Python or another scripting language</li><li>Experience with workflow orchestration tools (Airflow, Step Functions, etc.)</li><li>Hands-on database administration experience, including:</li><li>MongoDB (replica sets, sharding, indexing, backups)</li><li>Redshift (cluster management, query tuning, WLM, snapshots)</li><li>PostgreSQL (replication, performance tuning, connection pooling)</li><li>Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas, etc.)</li></ul><p>Pay: $40.00 - $45.00 per hour</p><p>Application Question(s):</p><ul><li>Are you comfortable to work on our W2?</li></ul><p>Location:</p><ul><li>Bellevue, WA (Required)</li></ul><p>Work Location: On the road</p>

Data Engineer/Database Administrator_ (Only W2)

Inspire Management Training Center

<p>The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, databases, and data integration solutions that support business intelligence, analytics, and operational systems. The role ensures the availability, quality, security, and reliability of data while enabling efficient access to information across the organization.</p><p><b>Job Responsibilities</b></p><ul><li>Design, develop, and maintain data pipelines for collecting, processing, and transforming data from multiple sources.</li><li>Build and manage data warehouses, data lakes, and database systems to support reporting and analytics requirements.</li><li>Develop and optimize ETL/ELT processes to ensure efficient and accurate data integration.</li><li>Monitor data quality, integrity, and consistency across systems and implement corrective actions when required.</li><li>Collaborate with business stakeholders, analysts, and developers to understand data requirements and deliver effective solutions.</li><li>Optimize database performance, query execution, and data storage architecture.</li><li>Implement data security, governance, and compliance standards to protect organizational data assets.</li><li>Troubleshoot and resolve data-related issues, system failures, and performance bottlenecks.</li><li>Develop and maintain technical documentation for data models, pipelines, and integration processes.</li><li>Support business intelligence and analytics initiatives by ensuring reliable and timely access to data.</li><li>Evaluate and implement new technologies and best practices to improve data engineering capabilities.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Cloud/ Data Engineering certification (AWS, Azure, or GCP)</li><li>Minimum 9 years of experience in data engineering or similar field</li><li>Strong experience with SQL and relational database management systems.</li><li>Proficiency in ETL/ELT tools and data integration frameworks.</li><li>Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform is preferred.</li><li>Knowledge of data warehousing, data modeling, and big data technologies.</li><li>Experience with programming languages such as Python, Java, Scala, or similar.</li><li>Familiarity with data visualization and business intelligence tools.</li><li>Strong analytical, troubleshooting, and problem-solving skills.</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Data Engineer: 9 years (Required)</li></ul><p>License/Certification:</p><ul><li>Cloud/ Data Engineering Certification (AWS, Azure, or GCP) (Required)</li></ul><p>Location:</p><ul><li>Qatar (Required)</li></ul><p>Work Location: In person</p>

Data Engineer - AMI

WhiteWater Express Car Wash

<div><p>Senior Data Engineer</p><p><i>
Note: Position is not eligible for visa sponsorship.</i><br>
<br>
At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for people. Our dedicated team members are leaders within the company, and we believe that personal growth is the key to our organizational success. If you are a self-starter, motivated, and ready to take on new challenges, we want you to succeed with us, as a part of a rapidly growing business.<br>
<br>
Location: 106 Vintage Park Blvd. Houston, TX 77070</p><p><b>
Position Overview</b></p><p>
We&rsquo;re looking for a <b>Full-Stack Software Engineer</b> who thrives at the intersection of software development and data engineering and is excited to build technology that drives real-world impact. In this role, you&rsquo;ll take ownership of designing and developing end-to-end systems that automate workflows, integrate business processes, and power data-informed decision-making across a fast-growing, multi-location organization.</p><p>
From creating internal workflow tools and customer-facing checkout experiences to building APIs and ETL pipelines that seamlessly sync on-site MySQL databases with our Snowflake data warehouse, your work will directly improve operational efficiency, scalability, and the foundation for long-term growth through smart, integrated technology.</p><p><b>
Key Responsibilities</b></p><ul><li>
Design and develop full-stack applications using Python, PHP, Node.js, JavaScript.</li><li>
Build and maintain ETL pipelines to integrate and transform data across multiple systems using tools such as DBT etc.</li><li>
Develop and manage APIs to support system and data integrations</li><li>
Administer and optimize Snowflake, MySQL, and SQL Server databases</li><li>
Orchestrate and monitor data workflows using tools such as Airflow or similar platforms</li><li>
Maintain and support off-the-shelf software solutions</li><li>
Implement role-based access controls and data security best practices</li><li>
Collaborate with Data Analysts to optimize reporting and data accessibility</li><li>
Manage code repositories using Git and participate in CI/CD workflows</li><li>
Leverage cloud environments including AWS, Google Cloud, Azure, or DigitalOcean</li><li>
Troubleshoot technical issues and provide support to internal stakeholders</li><li>
Stay current with emerging technologies and continuously improve systems</li></ul><p><b>
Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field or 8+ years of hands-on software engineering experience</li><li>
Strong proficiency designing and maintaining ETL pipelines</li><li>
Deep understanding of database management, SQL optimization, data analytics and data warehousing</li><li>
Experience with PHP, Node.js, JavaScript, Python, and C#</li><li>
Experience with frameworks such as Laravel, Express.js, or WordPress</li><li>
Familiarity with cloud computing platforms (AWS, GCP, Azure)</li><li>
Knowledge of API design, CI/CD pipelines, Git version control, and Agile methodologies</li><li>
Strong problem-solving skills and ability to manage multiple priorities</li><li>
Excellent communication skills and ability to collaborate cross-functionally</li></ul><p><b>
Benefits</b></p><ul><li>
Comprehensive Health Benefits (Medical, Dental &amp; Vision)</li><li>
Paid Time Off in addition to Company Paid Holidays</li><li>
401(k) Retirement Plan with Company Match</li><li>
Company-Paid Life Insurance</li><li>
Pathways to Advancement</li><li>
Free Weekly Car Washes</li></ul><p>
Our employees are our most valuable asset. We only employ the best people in the service industry who embrace new challenges with enthusiasm. If you are looking for professional development with advancement opportunities in a fast-growing organization, come join our Team!<br>
</p><p>
</p><p>85LCfLx9R5</p></div>

Senior Data Engineer

Capgemini

<div><div><div><div><div>Bellevue, WA, United States (On-site)
 </div><div>Contract (4 months 22 days)
 </div><div>Published 4 days ago
</div></div><div><div>ETL/ELT Development
</div><div>postgresql
</div><div>mongodb
</div><div>data lake
</div><div>sql development
</div><div>kafka
</div><div>DevOps &amp; CI/CD
 </div><div>Python
</div><div>terraform
</div><div>database administration
</div></div><div><div><p>We&rsquo;re looking for a mid-level Data Engineer &amp; DBA to join our data platform team. You&rsquo;ll build and maintain scalable data pipelines while ensuring our databases are reliable, secure, and high-performing. You&rsquo;ll work closely with analysts, engineers, and product teams to deliver clean and timely data.
<br>
<br>
<b>What You&rsquo;ll Do:</b></p>
<ul><li><p>Design, build and maintain ETL/ELT pipelines across multiple systems</p>
</li><li><p>Design and optimize data models in PostgreSQL, MongoDB, and Amazon Redshift</p>
</li><li><p>Develop and manage data workflows using AWS (S3, Glue, Lambda, Step Functions, Kinesis)</p>
</li><li><p>Administer and maintain database environments across development, staging, and production</p>
</li><li><p>Monitor data pipelines and databases, troubleshoot issues, and implement alerts</p>
</li><li><p>Optimize query performance, indexes, and configurations across relational and NoSQL systems</p>
</li><li><p>Manage database provisioning, upgrades, backups, and disaster recovery (RDS, MongoDB, Redshift)</p>
</li><li><p>Ensure database security, including access control, encryption, and role management</p>
</li><li><p>Plan capacity and scale systems to support growing data needs</p>
</li><li><p>Define and enforce data retention and archival policies</p>
</li><li><p>Collaborate with analytics and product teams to support reporting and data needs</p>
</li><li><p>Document data pipelines, database processes, and operational procedures</p>
</li><li><p>Participate in code reviews and follow engineering best practices<br>
<br>
<br>
</p></li></ul><p><b>What We&rsquo;re Looking For:</b></p>
<p>Core Skills &amp; Experience:</p>
<ul><li><p>3&ndash;5 years of experience in data engineering, database administration, or similar roles</p>
</li><li><p>Strong experience with PostgreSQL, MongoDB, and Amazon Redshift</p>
</li><li><p>Solid SQL skills for both transactional and analytical workloads</p>
</li><li><p>Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift, etc.)</p>
</li><li><p>Proficiency in Python or another scripting language</p>
</li><li><p>Experience with workflow orchestration tools (Airflow, Step Functions, etc.)</p>
</li></ul><p>Hands-on database administration experience, including:</p>
<ul><li><p>MongoDB (replica sets, sharding, indexing, backups)</p>
</li><li><p>Redshift (cluster management, query tuning, WLM, snapshots)</p>
</li><li><p>PostgreSQL (replication, performance tuning, connection pooling)</p>
</li><li><p>Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas, etc.)</p>
</li><li><p>Understanding of database security (encryption, auditing, least-privilege access)<br>
<br>
<br>
</p></li></ul><p><b>Nice to Have</b>:</p>
<ul><li><p>Experience with Kafka or Kinesis (streaming data)</p>
</li><li><p>Familiarity with dbt for data transformation</p>
</li><li><p>Knowledge of data lake/lakehouse architectures (Delta Lake, AWS Lake Formation)</p>
</li><li><p>Experience with Terraform or CloudFormation</p>
</li><li><p>CI/CD experience for data pipelines</p>
</li><li><p>Basic DevOps skills<br>
<br>
<br>
</p></li></ul><p><b>Skills &amp; Attributes</b>:</p>
<ul><li><p>Strong problem-solving and analytical skills</p>
</li><li><p>Ability to translate business needs into data solutions</p>
</li><li><p>Comfortable working in a fast-paced, collaborative environment</p>
</li><li><p>Clear communicator with both technical and non-technical audiences</p>
</li><li><p>Self-motivated with a focus on clean, maintainable code<br>
<br>
<br>
</p></li></ul><p><b>Education</b>:</p>
<ul><li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field &mdash; or equivalent experience.</p><br>
</li></ul><p></p><br>
<p>The pay range that the employer in good faith reasonably expects to pay for this position is $40.22/hour - $62.84/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.</p>
<p></p><p>Tundra Technical Solutions is among North America&rsquo;s leading providers of Staffing and Consulting Services. Our success and our clients&rsquo; success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.</p></div></div></div></div></div><p></p>

Data Engineer C1

GSSTech Group

<div><p>We are seeking an experienced Data Engineer with strong expertise in Python, Microservices Architecture, Data Transformation, and Backend Engineering to join our Data Engineering team. The ideal candidate will be responsible for designing and developing scalable backend services, data processing frameworks, RESTful APIs, and data transformation pipelines that support enterprise data-driven applications.</p><p>
This role requires strong hands-on experience with Python-based web frameworks, database technologies, ETL pipelines, microservices, API security, and modern software engineering practices. Candidates should have experience building production-grade applications with a focus on scalability, reliability, security, and performance.</p><b><br>
Requirements</b><p><br>
Key Responsibilities</p><ul><li>Design, develop, and maintain scalable backend applications and web frameworks using Python.</li><li>Build robust RESTful APIs and microservices to serve enterprise datasets and business applications.</li><li>Develop and optimize data transformation pipelines to process, clean, enrich, and prepare data for analytics and business consumption.</li><li>Design and implement scalable data access layers integrating multiple relational and NoSQL databases.</li><li>Collaborate with frontend developers to integrate user-facing components with backend services.</li><li>Ensure applications are secure, highly available, performant, and maintainable.</li><li>Design and maintain database schemas and data models aligned with business requirements.</li><li>Implement ETL processes for extracting, transforming, and loading large-scale datasets.</li><li>Optimize database performance, query execution, and data retrieval mechanisms.</li><li>Troubleshoot production issues and implement scalable solutions for long-term platform stability.</li><li>Participate in code reviews, testing activities, technical design discussions, and engineering best practices.</li><li>Work closely with business stakeholders, architects, and engineering teams within Agile delivery environments.</li></ul><p>
Required Technical Skills</p><p>
Python Development</p><ul><li>Strong hands-on experience in Core Python development.</li><li>Expertise in building backend services and APIs using Python.</li><li>Strong understanding of object-oriented programming principles and software design patterns.</li><li>Experience writing clean, reusable, maintainable, and production-quality code.</li></ul><p>
Web Frameworks &amp; API Development</p><p>
Strong experience with one or more Python frameworks including:</p><ul><li>FastAPI</li><li>Flask</li><li>Django</li><li>Pyramid</li></ul><p>
Experience with:</p><ul><li>RESTful API design and development</li><li>API versioning and documentation</li><li>Routing and middleware implementation</li><li>Authentication and authorization</li><li>Framework testing and debugging</li></ul><p>
Microservices Architecture</p><ul><li>Strong experience designing and developing microservices-based applications.</li><li>Deep understanding of distributed systems architecture.</li><li>Experience building scalable and resilient service-oriented platforms.</li><li>Knowledge of service communication patterns and API orchestration.</li><li>Experience handling concurrent requests and high-volume transaction processing.</li></ul><p>
Asynchronous Programming</p><ul><li>Strong understanding of asyncio and asynchronous programming concepts.</li><li>Experience handling concurrent connections and non-blocking operations.</li><li>Knowledge of performance optimization for I/O-intensive applications.</li></ul><p>
Security &amp; API Protection</p><ul><li>Strong understanding of API and microservices security best practices.</li><li>Experience implementing:</li></ul><ul><li>
OAuth 2.0</li><li>
JWT Authentication</li><li>
API Gateway integrations</li><li>
Encryption and secure communication protocols<br>
<ul><li>Experience implementing authentication, authorization, and access control mechanisms.</li></ul></li></ul><p>
Database &amp; ORM Expertise</p><ul><li>Strong experience with relational and NoSQL databases.</li><li>Experience designing database schemas and optimizing database performance.</li><li>Strong proficiency with:</li></ul><ul><li>
SQL</li><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li></ul><p>
Hands-on experience with ORMs including:</p><ul><li>SQLAlchemy</li><li>Django ORM</li></ul><p>
Ability to:</p><ul><li>Define models</li><li>Perform CRUD operations</li><li>Write optimized queries</li><li>Handle transactions</li><li>Manage database migrations</li></ul><p>
Data Engineering &amp; Transformation</p><ul><li>Experience building and maintaining ETL pipelines.</li><li>Strong understanding of data transformation, enrichment, aggregation, and cleansing techniques.</li><li>Experience ensuring data quality, consistency, and integrity.</li><li>Ability to support analytical and data-driven applications through scalable processing frameworks.</li></ul><p>
DevOps &amp; CI/CD</p><ul><li>Experience building and maintaining CI/CD pipelines.</li><li>Experience deploying and supporting production-grade applications.</li><li>Understanding of infrastructure automation and modern software delivery practices.</li><li>Experience with release management and deployment workflows.</li></ul><p>
Big Data &amp; Data Technologies</p><p>
Exposure to technologies such as:</p><ul><li>Hadoop</li><li>Apache Spark</li><li>Apache Kafka</li></ul><p>
Understanding of:</p><ul><li>Data Warehousing concepts</li><li>Distributed data processing</li><li>Enterprise data architectures</li></ul><p>
Version Control &amp; Development Practices</p><ul><li>Strong experience with Git version control.</li><li>Experience with:</li></ul><ul><li>
Branching strategies</li><li>
Code reviews</li><li>
Pull Requests</li><li>
Merge conflict resolution</li><li>
Collaborative development workflows</li></ul><p>
Testing &amp; Debugging</p><ul><li>Experience with:</li></ul><ul><li>
Unit Testing</li><li>
Integration Testing</li><li>
Logging</li><li>
Monitoring</li><li>
Performance Troubleshooting</li><li>
Production Support</li></ul><p>
Nice to Have</p><ul><li>Experience with AWS, Azure, or GCP.</li><li>Experience with Docker and Kubernetes.</li><li>Exposure to cloud-native architectures.</li><li>Knowledge of data governance, compliance, privacy, and security standards.</li><li>Experience supporting large-scale enterprise data platforms.</li></ul><p>
Required Competencies</p><ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management capabilities.</li><li>Strong collaboration and teamwork skills.</li><li>Ability to work effectively in Agile/Scrum environments.</li><li>Strong ownership mindset with attention to detail.</li><li>Ability to document solutions and communicate technical concepts clearly.</li></ul><p>
Education</p><p>
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.</p></div><p></p>

Data Engineer - Python & Microservices

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