data architect

Accenture

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>AWS Architecture<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>15</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly across the organization, contributing to the overall efficiency and effectiveness of data management practices. Roles &amp; Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate workshops and discussions to gather requirements and feedback from stakeholders. - Continuously evaluate and improve data architecture practices to enhance performance and scalability. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in AWS Architecture. - Strong understanding of data modeling techniques and best practices. - Experience with cloud-based data storage solutions and integration strategies. - Familiarity with data governance frameworks and compliance requirements. - Ability to design and implement data pipelines for efficient data processing. Additional Information: - The candidate should have minimum 15 years of experience in AWS Architecture. - This position is based at our Pune office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Data Architect

Tanla Solutions

Data Architect Data Architect Location
<br>Hyderabad, Telangana IN Department
<br>Product & Engineering Job Role
<br>‍
<br>We are seeking an experienced Data Architect to design and govern Tanla’s enterprise-wide data ecosystem. The ideal candidate will bring deep expertise in enterprise data modeling, master data management (MDM), and telecom data architectures to build a unified, compliant, and scalable data infrastructure. You will play a strategic role in shaping the architecture for data lakes, warehouses, and real-time pipelines, ensuring data integrity, governance, and adherence to industry standards like GDPR and TRAI.
<br>‍ What you'll be responsible for?
<br>‍
<br>Lead the architecture, design, and implementation of scalable enterprise data platforms (data lakes, data warehouses, and real-time pipelines).
<br>Define and manage enterprise data models, ensuring consistency across systems and domains.
<br>Implement and maintain Master Data Management (MDM) frameworks for unified and accurate business data.
<br>Integrate and optimize telecom data sources — including OSS, BSS, network telemetry, CDR, and subscriber data.
<br>Establish and enforce data governance, metadata management, and security frameworks.
<br>Ensure compliance with GDPR, TRAI, and other regulatory standards related to data privacy and retention.
<br>Collaborate with cross-functional teams — product, engineering, analytics, and security — to align data strategy with business goals.
<br>Evaluate and recommend distributed database technologies to support high-volume, low-latency use cases.
<br>‍ Qualification and other skills
<br>‍
<br>Bachelor’s or Master’s in Computer Science, Data Management, or Information Systems.
<br>Experience leading large-scale data modernization or migration initiatives.
<br>Exposure to AI/ML data pipelines and data observability tools.
<br>Strong communication and leadership skills to drive data strategy across multiple business units.
<br>‍ What you'd have?
<br>‍
<br>10–15 years of experience in data architecture, data engineering, or related domains.
<br>Proven expertise in enterprise data modeling and MDM implementation.
<br>Strong understanding of telecom data ecosystems (OSS, BSS, network telemetry, CDR, subscriber data).
<br>Experience designing and deploying data lakes and warehouses on cloud platforms (AWS, GCP, Azure).
<br>Knowledge of real-time streaming architectures (Kafka, Flink, Spark Streaming).
<br>Expertise in distributed databases (Cassandra, HBase, Bigtable, Snowflake, etc.).
<br>Hands-on knowledge of data governance, metadata management, and lineage tools.
<br>Familiarity with data security and compliance (GDPR, TRAI, ISO 27001).
<br>‍ Why join us?
<br>‍
<br><b>Impactful Work:</b> Solve meaningful real-life business problems by building cutting-edge products.
<br><b>Tremendous Growth Opportunities:</b> Work in a fast-growing CPaaS and product-driven culture with scope for continuous professional development.
<br><b>Innovative Environment:</b> Be part of a world-class team that loves solving tough problems and values innovation.
<br>‍
<br>Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees

AppZime Technologies

<p><b>Job Summary:</b></p><p>We&rsquo;re seeking a skilled Data Architect to lead the design and delivery of innovative, scalable data solutions that power our business. With deep expertise in Databricks and cloud platforms like Azure and AWS, you&rsquo;ll architect high-performance data systems and drive impactful analytics. If you thrive on solving complex data challenges, this is your chance to shine.</p><p><b>Key Responsibilities:</b></p><p>&middot; Design scalable data lakes, warehouses, and real-time streaming architectures.</p><p>&middot; Build and optimize data pipelines and Delta Lake solutions using Databricks (Spark, Workflows, SQL Analytics).</p><p>&middot; Develop cloud-native data platforms on Azure (Synapse, Data Factory, Data Lake) and AWS (Redshift, Glue, S3).</p><p>&middot; Create and automate ETL/ELT workflows with Apache Spark, PySpark, and cloud tools.</p><p>&middot; Design and implement robust data models (e.g., dimensional, normalized, star schemas) to support analytics and reporting.</p><p>&middot; Leverage big data technologies (Hadoop, Kafka, Scala) for large-scale processing.</p><p>&middot; Ensure data governance, security, and compliance with standards like GDPR and HIPAA.</p><p>&middot; Optimize Spark workloads and storage for peak performance.</p><p>&middot; Collaborate with engineering, analytics, and business teams to align data solutions with organizational goals.</p><p><b>Required Skills &amp; Qualifications:</b></p><p>&#9989; 8+ years in data architecture, engineering, or analytics roles.</p><p>&#9989; Hands-on experience with Databricks (Delta Lake, Spark, MLflow, pipelines).</p><p>&#9989; Expertise in Azure (Synapse, Data Lake, Data Factory) and AWS (Redshift, S3, Glue).</p><p>&#9989; Strong coding skills in SQL, Python OR Scala.</p><p>&#9989; Experience with NoSQL (e.g., MongoDB), streaming (e.g., Kafka)</p><p>&#9989; Knowledge of data governance and compliance best practices.</p><p>&#9989; Excellent problem-solving and communication skills, with a knack for cross-team collaboration.</p><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Data Architect: 8 years (Preferred)</li></ul><p>Location:</p><ul><li>Jaipur, Rajasthan (Preferred)</li></ul><p>Work Location: In person</p>

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Microsoft Azure Data Services<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>7.5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with business objectives and supports efficient data management practices. You will collaborate with various stakeholders to gather requirements and translate them into effective data solutions, while also overseeing the implementation of data strategies that enhance data accessibility and usability across the organization. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor and evaluate team performance to ensure alignment with project goals. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services. - Strong understanding of data modeling techniques and best practices. - Experience with data integration tools and ETL processes. - Familiarity with cloud-based data storage solutions and architectures. - Ability to design and implement data governance frameworks. Additional Information: - The candidate should have minimum 7.5 years of experience in Microsoft Azure Data Services. - This position is based at our Hyderabad office. - A 15 years full time education is required.</p>
<br>
15 years full time education

GEDU Services

<div>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 As a Data Architect, you are responsible for designing and managing scalable, secure, and high-performance data architectures that support GEDU and customer needs. This role ensures that the GEDU&rsquo;s data assets are structured and managed in a way that enables the business to generate insights, make data-driven decisions, and maintain data integrity across the GEDU and Customers. The Data Architect will work closely with business leaders, data engineers, data scientists, and IT teams to align the data architecture with the GEDU&rsquo;s strategic goals.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Data Architecture Design:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams.
  </li>
  <li>
   Develop a data strategy and roadmap that aligns with GEDU business objectives and ensures the scalability of data systems.
  </li>
  <li>
   Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Integration &amp; Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools.
  </li>
  <li>
   Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets.
  </li>
  <li>
   Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration With Stakeholders
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs.
  </li>
  <li>
   Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technology Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools.
  </li>
  <li>
   Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Quality &amp; Security
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems.
  </li>
  <li>
   Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mentorship &amp; Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management.
  </li>
  <li>
   Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Extensive Data Architecture Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Good experience in data architecture, data modeling, and database management.
  </li>
  <li>
   Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions.
  </li>
  <li>
   Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Advanced Knowledge Of Data Platforms
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus.
  </li>
  <li>
   Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing.
  </li>
  <li>
   Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Governance &amp; Compliance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of data governance principles, data lineage, and data stewardship.
  </li>
  <li>
   Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise.
  </li>
  <li>
   Strong programming skills in languages such as Python, SQL, R, or Scala.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Pre-Sales Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives.
  </li>
  <li>
   Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained.
  </li>
  <li>
   Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions.
  </li>
  <li>
   Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process.
  </li>
  <li>
   Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions.
  </li>
  <li>
   Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions.
  </li>
  <li>
   Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow.
  </li>
  <li>
   Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise.
  </li>
  <li>
   Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability.
  </li>
  <li>
   Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications.
  </li>
  <li>
   Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education: Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.
  </li>
  <li>
   Experience: Seasoned experience in data architecture, with a focus on developing scalable and high-performance solutions.
  </li>
  <li>
   Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies.
  </li>
  <li>
   Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions.
  </li>
  <li>
   Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills.
  </li>
  <li>
   Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
  </li>
  <li>
   Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory.
  </li>
 </ul>
</div>


Millennium Management

<div>Data Architect<p></p><p>
We are looking for a talented data architect to take technical ownership of a mission-critical organization wide master data platform. In this role the engineer will be responsible for implementing sophisticated data structures in a relational database to support a rapidly evolving business. The role will require designing future-proof relational data models to support business needs and planning for migration from current-state architecture to future state architecture. The ideal candidate should have deep experience architecting and managing high sensitivity/high connectivity data platforms in SQL.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Work directly with business and tech partners to design future-state data architecture to support complex relationships between enterprise-critical objects</p></li><li><p>
Work deeply in SQL to analyze shortcoming of the existing architecture and plot a course for optimizing the model</p></li><li><p>
Coordinate with various upstream/downstream systems across the organization to establish and maintain data governance standards</p></li><li><p>
Understand the data model across multiple business domains and appropriately map into cross functional reports and dashboards.</p></li><li><p>
Work across a number of ongoing projects and delivery streams while prioritizing with the users changes and features.</p></li></ul><p></p><p><b>
Skills and Requirements</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science or a related field.</p></li><li><p>
8+ years of experience in data-focused roles</p></li><li><p>
5+ years of experience architecting and managing relational data models</p></li><li><p>
3+ years of experience in a direct data ownership role with respect to data architecture and/or data quality</p></li><li><p>
Experience working with data distribution platforms (like Snowflake)</p></li><li><p>
Expertise in broader-level data ingestion and distribution architecture</p></li><li><p>
Expertise in SQL</p></li><li><p>
Ability to identify bottlenecks in relational databases and optimize views, tables and queries for performance</p></li><li><p>
Comfortable working in either an agile team or independently depending on project needs</p></li></ul></div>

Giza Systems EG

<div><h4 class="jobSectionHeader"><b>Job Description</b></h4>
<p></p><div><p><b>The main purpose of the solution architect position is designing software solutions and technical leadership of software delivery teams and accountable for the technical acceptance of the delivered solution by the customer.<br>
</b><br>
<br>
<br>
Participates in vendors assessment and selection.
<br>
Participates with presales team in the proposed solution design in the bidding phase.
<br>
Prepares the &ldquo;<b>team</b>&rdquo; Scope of Work (SoW) proposal write-up for bidding in software projects.
<br>
Prepares &ldquo;<b>team</b>&rdquo; professional services sizing, assumptions, and pre-requisites for bidding in software projects.
<br>
Participates in customer demonstrations and presentations to discuss and convince the customer by our software solutions.
<br>
Attend requirement gathering workshops and prepares business requirements documents.
<br>
Prepares strategy documents of the project (i.e., configuration management strategy, migration strategy document, go-live strategy &hellip; etc.)</p>
<p>
Participates and review testing strategy document.
<br>
Prepares high level design documents including end-to-end solution architecture and integration scenarios with the help of the technical architects.</p>
<p>
Review / audit development team and subcontractor technical documentation and make sure of alignment with project scope and architecture guidelines.</p>
<ul>
<li>Proven experience as architect and engineering lead in Data &amp; Analytics stream.</li>
<li>In-depth understanding of data structure principles and data platforms.</li>
<li>Problem-solving attitude, solution mindset with implementation expertise.</li>
<li>Working experience on Modern data platforms which involves big data technologies, data management solutions, and data virtualization.</li>
<li>Well-versed with the end2end data management philosophies and governance processes.</li>
<li>Has pre-sales experience and have involved in RFP/RFI/RFQ processes.</li>
<li>Creative problem-solver with strong communication skills.</li>
<li>Excellent understanding of traditional and distributed computing paradigm.</li>
<li>Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts.</li>
<li>Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries.</li></ul><br>
<p></p>
<p>
Technical Skills:</p><br>
<p></p>
<ul>
<li>Data integration &ndash; ETL tools like Talend and Informatica. Ingestion mechanism like Flume &amp; Kafka</li></ul><br>
<p></p>
<ul>
<li>Data modelling &ndash; Dimensional &amp; transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage</li></ul><br>
<p></p>
<ul>
<li>Data visualization &ndash; Tools like Tableau, Power BI and Kibana</li></ul><br>
<p></p>
<ul>
<li>Master data management (MDM) &ndash; Concepts and expertise in tools like Informatica &amp; Talend MDM</li></ul><br>
<p></p>
<ul>
<li>Big data &ndash; Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE</li></ul><br>
<p></p>
<ul>
<li>Data processing frameworks &ndash; Spark &amp; Spark streaming</li></ul><br>
<p></p>
<ul>
<li>Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required</li></ul><br>
<p></p>
<ul>
<li>Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc.</li></ul><br>
<p></p>
<ul>
<li>Experience in cloud data eco-system - AWS, Azure or GCP</li></ul><br>
<p></p>
<ul>
<li>Demonstrate strong analytical and problem solving capability</li></ul><br>
<p></p>
<ul>
<li>Good understanding of the data eco-system, both current and future data trends</li></ul></div><br>
<p></p>
<h4 class="jobSectionHeader"><b>Personal Skills</b></h4>
<p></p><div><ul><li>Preferred to be TOGAF certified</li>
<li>Proven experience as an architect and engineering lead in Data &amp; Analytics stream.</li>
<li>In-depth understanding of data structure principles and data platforms.</li>
<li>Problem-solving attitude, solution mindset with implementation expertise.</li>
<li>Working experience on Modern data platforms, which involves big data technologies, data management solutions, and data virtualization.</li>
<li>Well-versed in the end-to-end data management philosophies and governance processes.</li>
<li>Has pre-sales experience and has been involved in RFP/RFI/RFQ processes.</li>
<li>Creative problem-solver with strong communication skills.</li>
<li>Excellent understanding of traditional and distributed computing paradigm.</li>
<li>Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts.</li>
<li>Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries.</li>
</ul></div><p></p>
<h4 class="jobSectionHeader"><b>Technical Skills</b></h4>
<p></p><div><ul><li>Proven experience as architect and engineering lead in Data &amp; Analytics stream.
</li><li>In-depth understanding of data structure principles and data platforms.
</li><li>Problem-solving attitude, solution mindset with implementation expertise.
</li><li>Working experience on Modern data platforms which involves big data technologies, data management solutions, and data virtualization.
</li><li>Well-versed with the end2end data management philosophies and governance processes
</li><li>Has pre-sales experience and have involved in RFP/RFI/RFQ processes
</li><li>Creative problem-solver with strong communication skills
</li><li>Excellent understanding of traditional and distributed computing paradigm
</li><li>Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
</li><li>Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queriesTechnical Skills: Data integration - ETL tools like Talend and Informatica. Ingestion mechanism like Flume &amp; Kafka.
</li><li>Data modelling - Dimensional &amp; transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage.
</li><li>Data visualization - Tools like Tableau, Power BI and Kibana.
</li><li>Master data management (MDM) - Concepts and expertise in tools like Informatica &amp; Talend MDM
</li><li>Big data - Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE.
</li></ul>
&bull; Data processing frameworks - Spark &amp; Spark streaming&bull; Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required
<br>
<ul><li>Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc.
</li><li>Experience in cloud data eco-system - AWS, Azure or GCP
</li></ul>
&bull; Demonstrate strong analytical and problem solving capability&bull; Good understanding of the data eco-system, both current and future data trends.</div><p></p>
<h4 class="jobSectionHeader"><b>Education</b></h4>
<div><p>Bachelor's degree in Computer Science, Software Engineering, or a related field.</p></div></div><p></p>
<br><div><h4 class="jobSectionHeader"><b>Job Details</b></h4>
<div><div>Job Location</div>
<div>Cairo, Egypt</div>
</div><div><div>Company Industry</div>
<div>Integration</div>
</div><div><div>Company Type</div>
<div>Employer (Private Sector)</div>
</div><div><div>Job Role</div>
<div>Information Technology</div>
</div><div><div>Employment Status</div>
<div>Full time</div>
</div><div><div>Employment Type</div>
<div>Employee</div>
</div><div><div>Job Division</div>
<div>COO Office<br>
SW Engineering</div></div></div>
<br><div><h4 class="jobSectionHeader"><b>Preferred Candidate</b></h4>
<div><div>Career Level</div>
<div>Mid Career</div>
</div><div><div>Years of Experience</div>
<div>Min: 10 Max: 20</div>
</div><div><div>Residence Location</div>
<div>Egypt</div>
</div><div><div>Nationality</div>
<div>Egypt</div>
</div><div><div>Degree</div>
<div>Bachelor's degree</div></div></div>

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