data engineering lead

Venatore

<div><p><b>About Us</b><br>
Venat&ocirc;re is a mission-driven government contractor based in Tampa, FL, supporting federal and civilian agencies with secure cutting-edge technology, cybersecurity, and mission support services. Our teams are trusted in demanding environments because we integrate with client missions, combining technical depth, operational precision, and innovative thinking to deliver meaningful results where they matter most.</p><p><b>
About the Job</b><br>
The Data Scientist Lead is responsible for leading the organization's data science, data engineering, and analytics functions in support of mission-critical military operations. This senior technical leadership role oversees the design, development, and operationalization of advanced data analytics, artificial intelligence, and machine learning capabilities that enhance data-driven decision-making across the command. Working closely with senior government stakeholders, including the Chief Data Officer (CDO) and Executive Data Officer (XDO), the Data Scientist Lead translates operational requirements into scalable technical solutions while providing strategic direction, technical oversight, and mentorship to a multidisciplinary team. This position requires the ability to manage multiple priorities in a dynamic, mission-focused environment and may require occasional domestic and international travel.</p><p><b>
Responsibilities</b></p><p><b>
Leadership &amp; Strategic Oversight</b></p><ul><li>
Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives.</li><li>
Establish strategic priorities for data management, advanced analytics, AI/ML, and data engineering initiatives.</li><li>
Serve as the senior technical advisor on data science, machine learning, and analytics capabilities.</li><li>
Mentor and develop technical staff while promoting best practices, innovation, and continuous improvement.</li><li>
Manage multiple concurrent projects, priorities, and deliverables in a fast-paced operational environment.</li></ul><p><b>
Data Science &amp; Artificial Intelligence</b></p><ul><li>
Lead the development, validation, deployment, and operationalization of advanced statistical models and AI/ML solutions.</li><li>
Apply supervised, unsupervised, reinforcement learning, and generative AI techniques, including Large Language Models (LLMs) and multimodal AI, to solve complex mission challenges.</li><li>
Guide the full data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, and performance monitoring.</li><li>
Evaluate emerging AI and machine learning technologies for mission applicability and operational effectiveness.</li></ul><p><b>
Data Engineering &amp; Architecture</b></p><ul><li>
Oversee the design, implementation, and maintenance of secure, scalable, and fault-tolerant data pipelines supporting structured and unstructured data.</li><li>
Direct ETL/ELT processes, data integration, data warehousing, and modern data lake/lakehouse architectures.</li><li>
Ensure data quality, governance, accessibility, and compliance throughout the data lifecycle.</li><li>
Support enterprise data management strategies and architecture modernization initiatives.</li></ul><p><b>
Stakeholder Engagement &amp; Mission Support</b></p><ul><li>
Collaborate with the USCENTCOM Chief Data Officer (CDO), Operations Directorate Executive Data Officer (XDO), and other government stakeholders to define operational data requirements.</li><li>
Participate in governance boards, technical working groups, and strategic planning forums.</li><li>
Translate complex technical findings into clear, actionable recommendations for senior military leadership and non-technical stakeholders.</li><li>
Ensure analytical capabilities directly support operational planning, mission execution, and strategic decision-making.</li></ul><p><b>
Analytics &amp; Technology</b></p><ul><li>
Guide the use of SQL, Python, R, and other analytical tools to develop data-driven solutions.</li><li>
Oversee implementation and utilization of visualization platforms such as Power BI, Tableau, Qlik, Palantir Foundry, and Maven Smart System (MSS).</li><li>
Support enterprise analytics platforms, distributed data processing technologies, and database environments including Apache Spark, Databricks, Hadoop, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server.</li><li>
Promote adoption of modern analytics methodologies and industry best practices.</li></ul><p><b>
Required Qualifications</b></p><ul><li>
U.S. Citizenship is required.</li><li>
Active Top Secret security clearance with SCI eligibility.</li><li>
Bachelor's degree in Data Science, Analytics, Computer Science, Information Technology, or a related technical discipline.</li><li>
More than 10 years of progressively responsible experience in data science, analytics, or data engineering, including significant leadership experience.</li><li>
Demonstrated experience supporting Military, Federal Government, or Intelligence Community organizations.</li><li>
Proven experience gathering, implementing, and managing data science requirements for senior government stakeholders.</li><li>
Expertise developing and deploying advanced AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li><li>
Advanced proficiency in Python and/or R for data engineering, automation, analytics, and machine learning development.</li><li>
Experience designing and maintaining ETL/ELT pipelines, data warehouses, and data lake/lakehouse environments.</li><li>
Experience with enterprise data visualization and analytics platforms, including Power BI, Tableau, Qlik, Palantir Foundry, or Maven Smart System (MSS).</li><li>
Experience working with distributed data processing technologies such as Apache Spark, Databricks, and Hadoop.</li><li>
Experience administering or utilizing relational database platforms including SQL Server, Oracle, PostgreSQL, and MySQL.</li><li>
Strong written and verbal communication skills with demonstrated experience briefing senior military or government leadership.</li><li>
Ability to travel occasionally to domestic and international locations.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Master's degree in Data Science, Computer Science, Analytics, Information Technology, or another related technical discipline.</li><li>
Experience implementing enterprise data and analytics solutions within Azure, AWS, or Google Cloud environments.</li><li>
Strong knowledge of Department of Defense data strategies, governance frameworks, cybersecurity requirements, and information assurance standards.</li><li>
Experience with ESRI ArcGIS technologies and geospatial analytics.</li><li>
Demonstrated success leading cross-functional technical teams in fast-paced operational environments.</li><li>
Experience supporting AI/ML modernization initiatives within Department of Defense or Intelligence Community organizations.</li></ul><p><b>
Benefits</b><br>
Venat&ocirc;re offers a competitive benefits package designed to support the well-being of our employees, including:</p><ul><li>
Paid Time Off (PTO)</li><li>
10 Federal Holidays</li><li>
401(k) with company matching</li><li>
Medical, dental, and vision insurance</li><li>
Paid military leave</li></ul><p><i>
Venat&ocirc;re is a woman owned small business and an equal opportunity employer. We consider qualified applicants without regard to disability or protected veteran status.</i></p></div>

Data Scientist Lead

NIKE

<div><div><div><div>Position Type</div>
<div>Full Time</div>
</div><div></div><div><div>Career area</div>
<div>Data</div>
</div><div><div>Location</div>
<div>1 Bowerman Drive, Beaverton, Oregon 97005, United States</div>
</div><div></div><div><div>Job ID</div>
<div>R-88272</div></div></div><p></p><div><div><div><div><ul><li><p><br>
</p></li></ul></div></div></div></div><div><div><div><div><p>Become a Part of the NIKE, Inc. Team</p>
<p>NIKE, Inc. does more than outfit the world&rsquo;s best athletes. It&rsquo;s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we&rsquo;re after&mdash;bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?</p>
</div><div><p>LEAD, DATA ENGINEER - NIKE</p>
<p><i>[Beaverton, OR - USA]</i></p>
<p></p><h2 class="jobSectionHeader"><b>WHO YOU'LL WORK WITH</b></h2>
<p>Consumer Product and Innovation (CP&amp;I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.</p>
<p></p><h2 class="jobSectionHeader"><b>WHO WE ARE LOOKING FOR</b></h2>
<p>We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&amp;I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.</p>
<p>We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.</p>
<ul><li>Bachelor's degree or equivalent combination of education, experience, or training</li>
<li>8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark</li>
<li>Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)</li>
<li>Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices</li>
<li>Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication</li>
</ul><p></p><p><b>Preferred qualifications:</b></p>
<ul><li>Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments</li>
<li>Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)</li>
</ul><p></p><h2 class="jobSectionHeader"><b>WHAT YOU'LL WORK ON</b></h2>
<p>You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.</p>
<ul><li>Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&amp;I</li>
<li>Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making</li>
<li>Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization</li>
<li>Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality</li>
<li>Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale</li>
<li>Implement CI/CD pipelines to automate deployment and testing of data engineering workflows</li>
<li>Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement</li>
</ul><p>We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.</p>
</div><p></p><div><p>NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.</p>
<p>NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.</p></div><p></p><div><div><div><div><ul><br>
<li>
</li><li><p>
</p></li></ul></div></div></div></div></div></div><div><div>What You Can Expect
<h2 class="jobSectionHeader"><b>OUR HIRING GAME PLAN</b></h2>
</div><div><h3 class="jobSectionHeader"><b>01 Apply</b></h3>
<p>Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit &ndash; review job descriptions, departments and teams to discover the role for you.</p>
</div><div><h3 class="jobSectionHeader"><b>02 Meet a Recruiter or Take an Assessment</b></h3>
<p>If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you&rsquo;ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you &ndash; the whole you &ndash; so don&rsquo;t shy away from how you approach world-class service and what makes you unique.</p>
</div><div><h3 class="jobSectionHeader"><b>03 Interview</b></h3>
<p>Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.</p></div></div></div></div><div></div>

Lead Data Engineer

Western Alliance Bank

<div><p><b>Job Title:</b></p>
Staff Engineer II - Data Engineer<p></p><p><b>
Location:</b></p>
Block 23<p></p><p><b>
What you'll do:</b></p>
As the Staff Engineer II &ndash; Data Engineer, you&rsquo;ll design, build, and support secure, scalable cloud data solutions that advance Western Alliance Bank&rsquo;s Regulatory Reporting and Analytics strategy. You&rsquo;ll develop ETL pipelines, reusable PySpark patterns, and integrated data flows while applying data quality, governance, compliance, and architecture standards. You&rsquo;ll collaborate with technical and business stakeholders, provide technical guidance, and help strengthen data engineering practices across the Enterprise Data &amp; Analytics team.<ul><li>
Lead the strategic planning of a project as it relates to technical solution design.</li><li>
Design and implement engineering principles aimed at reliability practices and sound recovery procedures.</li><li>
Design transaction specific application performance monitoring metrics that can be captured and passed to business partners.</li><li>
Develop and maintain technical documentation, including system configurations and procedures while also ensuring compliance with IT policies, procedures, and industry standards.</li><li>
Design, build, and support data engineering solutions, including ETL pipelines, reusable PySpark components, and optimized data processing patterns.</li><li>
Implement Azure DevOps CI/CD practices and apply test-driven development where appropriate.</li><li>
Apply data governance, data quality, compliance, and architecture standards throughout solution delivery.</li><li>
Collaborate with stakeholders and provide technical guidance to support business needs and data architecture decisions.</li></ul><p></p><p><b>
What you'll need:
</b></p><ul><li>7+ years of data engineering experience with ETL, Enterprise Data Warehousing, database concepts, cloud data platforms, and query languages such as T-SQL, PL/SQL, or Spark SQL; experience with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Databricks, Azure Data Lake, and Azure DevOps.</li><li>
Bachelor's degree in related field required.</li><li>
Previous leadership experience preferred.</li><li>
Intermediate to advanced knowledge of general Financial Services or Banking is preferred.</li><li>
Advanced knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.</li><li>
Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously. Additional experience with pipeline development and leveraging Azure DevOps while working on multiple projects simultaneously.</li><li>
Advanced ability to see the big picture and align projects with organizational goals. Capable of leading and motivating cross-functional teams. Expertise in resolving conflicts and addressing challenges as well as skilled at identifying and mitigating risks at the project level. Proficient in governance patterns tied to intake, technical reviews and architectural compliance.</li><li>
Experience designing reusable PySpark frameworks, shared libraries, and parameter-driven ingestion and transformation patterns.</li><li>
Preferred experience supporting cloud data platform modernization, including migration from Azure Synapse to Microsoft Fabric.</li><li>
Experience with conceptual, logical, and physical data design, including architecture and data flow diagrams using tools such as Visio or Lucidchart.</li><li>
Preferred experience with analytics, multi-cloud data platforms, Agile, SAFe, or Scrum delivery, data quality, data catalog, data lineage tools, and relevant Azure certifications.</li><li>
Advanced speaking and writing communication skills.</li><li>
May require up to 25% travel.</li></ul><p></p><p><b>
Benefits you&rsquo;ll love:</b><br>
We offer all the important things you'd want &mdash; like competitive salaries, an ownership stake in the company, medical and dental insurance, time off, a great 401k matching program, tuition assistance program, an employee volunteer program, and a wellness program. In addition, you&rsquo;ll have the opportunity to bolster your business knowledge, learning the ins and outs of how successful companies operate and manage their finances, giving you invaluable hands-on experience to help grow your career!</p><p></p><p><b>
About the company:</b></p><p>
Western Alliance Bank, Member FDIC, is a wholly owned subsidiary of Western Alliance Bancorporation. Serving clients nationwide, Western Alliance Bank includes six legacy bank brands &mdash; Alliance Association Bank, Alliance Bank of Arizona, Bank of Nevada, Bridge Bank, First Independent Bank and Torrey Pines Bank &mdash; that remain part of the company&rsquo;s heritage, as well as AmeriHome Mortgage, a Western Alliance Bank Company.</p><p></p><p>
Western Alliance Bancorporation is committed to equal employment and will consider all qualified applicants without regard to race, sex, color, religion, age, nation origin, marital status, disability, protected veteran status, sexual orientation, gender identity or genetic information. Western Alliance Bancorporation is committed to working with and providing reasonable accommodations for individuals with disabilities. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process and/or need an alternative method of applying, please email HR@westernalliancebank.com or call 602-386-2488. When contacting us, please provide your contact information and state the nature of your accessibility issue. We will only respond to inquiries concerning requests that involve a reasonable accommodation in the application process.</p><p></p><p>
&copy; Western Alliance Bancorporation</p></div>

Staff Engineer II - Data Engineer

Deloitte

<div>
 <strong>
  Data Engineering, Senior Tech Lead, Cairo, Egypt
  <br/>
  <br/>
 </strong>
 <strong>
  Connect to your career at Deloitte
  <br/>
  <br/>
 </strong>
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 <br/>
 <br/>
 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 <br/>
 <br/>
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 <br/>
 <br/>
 <strong>
  Connect to your opportunity
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Problem-solving skills: Demonstrates the ability to identify and solve complex problems using a structured and logical approach.
  </li>
  <li>
   Systems engineering: You should have experience in managing functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
  </li>
  <li>
   Stakeholder management: Demonstrates the ability to build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
  </li>
  <li>
   Organizational skills: Is highly organized and efficient and has a proven ability to manage multiple projects simultaneously.
  </li>
  <li>
   Creativity and innovation: Are able to think creatively and come up with new solutions to problems.
  </li>
  <li>
   Communication skills: Is able to communicate effectively with technical and non-technical audiences, both verbally and in writing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Connect To Your Skills And Professional Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of experience in data engineering
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cloud computing platforms: AWS/Azure/GCP
  </li>
  <li>
   Programming languages: Python/Java/Scala &amp; Unix Shell scripting
  </li>
  <li>
   Data warehouse technologies: Redshift/Snowflake/Big Query
  </li>
  <li>
   Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
  </li>
  <li>
   Orchestration: Airflow/Control-M/(Any Orchestration tool)
  </li>
  <li>
   Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
  </li>
  <li>
   Gather requirements from stakeholders and translate them into technical specifications.
  </li>
  <li>
   Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
  </li>
  <li>
   Maintain and optimize data systems to ensure high availability and performance.
  </li>
  <li>
   Work with other engineering teams to integrate data engineering solutions with other systems.
  </li>
  <li>
   Stay up to date on the latest data engineering technologies and trends.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Connect to your service line - Technology and Transformation
  <br/>
  <br/>
 </strong>
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 <br/>
 <br/>
 <strong>
  Personal independence
  <br/>
  <br/>
 </strong>
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 <br/>
 <br/>
 <strong>
  Connect to your Industry
  <br/>
  <br/>
 </strong>
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 <br/>
 <br/>
 <ul>
  <li>
   Dan, Technology &amp; Transformation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our commitment to you
  <br/>
  <br/>
 </strong>
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 <br/>
 <br/>
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 <br/>
 <br/>
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 <br/>
 <br/>
 <strong>
  Connect to your next step
  <br/>
  <br/>
 </strong>
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>


Deloitte Innovation Hub | Data Engineering, Senior Tech Lead, Cairo, Egypt

Integrant, Inc.

<div>
 <p>
  We're on the lookout for exceptional individuals to join our team as
  <strong>
   Principal Data Engineers
  </strong>
  . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
 </p>
 <ul>
  <li>
   Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
  </li>
  <li>
   Engage in collaborative requirement elicitation activities with our valued clientele.
  </li>
  <li>
   Mentor and guide junior team members in the field of data engineering.
  </li>
  <li>
   Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
  </li>
  <br/>
 </ul>
 <strong>
  Requirements
  <br/>
 </strong>
 <ul>
  <li>
   6+ years of experience as a data engineer.
  </li>
  <li>
   Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
  </li>
  <li>
   Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
  </li>
  <li>
   Knowledge of query and workload optimization.
  </li>
  <li>
   Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
  </li>
  <li>
   Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
  </li>
  <li>
   Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
  </li>
  <li>
   Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
  </li>
  <li>
   Knowledge of setting up OLAP solutions using SSAS.
  </li>
  <li>
   Familiarity with Azure Data Catalog to manage data lake metadata.
  </li>
  <li>
   Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
  </li>
  <li>
   Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
  </li>
  <li>
   Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
  </li>
  <li>
   Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
  </li>
  <li>
   Knowledge of implementing common ETL patterns to support data warehouse workloads.
  </li>
  <li>
   Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
  </li>
  <li>
   Knowledge of PowerBI.
  </li>
  <li>
   Familiarity with SSRS.
  </li>
  <li>
   <strong>
    Snowflake Experience:
   </strong>
   Experience with Snowflake is required.
  </li>
 </ul>
 <p>
  Nice to Have:
 </p>
 <ul>
  <li>
   An MSc in Computer Science or other relevant field.
  </li>
  <li>
   Familiarity with Azure Databricks.
  </li>
  <li>
   Familiarity with DataOps
  </li>
  <li>
   Familiarity with Azure Cognitive Services.
  </li>
  <li>
   Familiarity with Azure ML.
  </li>
  <li>
   Familiarity with MLOps.
  </li>
  <li>
   Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
  </li>
  <li>
   Familiarity with Azure HD Insight.
  </li>
  <li>
   Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
  </li>
  <li>
   Familiarity with Azure Functions to perform lightweight transformations.
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
 </strong>
 <ul>
  <li>
   Salary paid in USD
  </li>
  <li>
   Six-month career advancing opportunities
  </li>
  <li>
   Supportive and friendly work environment
  </li>
  <li>
   Premium medical insurance [employee +family]
  </li>
  <li>
   English language development courses
  </li>
  <li>
   Interest-free loans paid over 2.5 years
  </li>
  <li>
   Technical development courses
  </li>
  <li>
   Planned overtime program (POP)
  </li>
  <li>
   Employment referral program
  </li>
  <li>
   Premium location in Maadi
  </li>
  <li>
   Social insurance
  </li>
 </ul>
</div>


Principal Data Engineer

American Safety Power Tools

<p><b>JOB TITLE: INDUSTRIAL ENGINEERING (IE) ASSISTANT MANAGER / LEAD</b><br/><b>Location:</b> Landhi / KEPZ, Karachi<br/><b>Company:</b> American Safety Power Tool (Pvt.) Ltd.<br/><b>Industry:</b> Workwear &amp; Personal Protective Equipment (PPE) Manufacturing</p><p><b>About the Role:</b></p><p>We are seeking a highly analytical and results-driven <b>Industrial Engineering Assistant Manager / Lead</b> to lead our efficiency and process optimization initiatives . In a fast-paced workwear manufacturing environment, your primary mission will be to drive productivity, reduce waste, and ensure cost competitiveness across all production sections&mdash;from cutting and sewing to finishing . You will be the key driver of lean manufacturing and continuous improvement, translating production data into actionable strategies .</p><p><b>Key Responsibilities:</b></p><ul><li><b>Efficiency &amp; Productivity Management:</b> Lead the IE department to establish and monitor productivity benchmarks. Approve SMV (Standard Minute Value) for all styles and oversee time &amp; motion studies .</li><li><b>Line Balancing &amp; Capacity Planning:</b> Plan and balance production lines to achieve efficiency targets. Coordinate with merchandising and planning teams to provide accurate SMV-based capacity forecasts for style costing .</li><li><b>Lean &amp; Continuous Improvement:</b> Implement lean manufacturing principles such as 5S, Kaizen, and Six Sigma to eliminate waste . Drive continuous improvement projects across cutting, sewing, and finishing to optimize output .</li><li><b>Data Analysis &amp; Reporting:</b> Prepare and present daily, weekly, and monthly IE performance reports. Analyze efficiency, manpower utilization, and capacity vs. actual performance, and recommend corrective actions .</li><li><b>Team Leadership:</b> Lead, mentor, and develop the IE team, providing training on best practices and new methodologies . Foster collaboration with Production, Quality, Planning, and HR departments .</li><li><b>Standardization:</b> Standardize operation breakdowns, methods, and SOPs (Standard Operating Procedures) across lines and styles . Work on cost-saving opportunities and contribute to profitability improvements .</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li><b>Experience:</b> Minimum <b>5-7 years</b> of relevant experience in Industrial Engineering within a <b>garment manufacturing</b> environment . Experience in <b>workwear, PPE, or industrial clothing</b> is a significant advantage.</li><li><b>Technical Knowledge (Mandatory):</b></li><li>In-depth knowledge of <b>SMV setting, time &amp; motion study, and line balancing</b> .</li><li>Proven experience in implementing <b>lean manufacturing, Kaizen, and waste elimination</b> initiatives .</li><li>Strong proficiency in <b>MS Excel</b> for data analysis and reporting .</li><li><b>Education:</b> Bachelor's degree in Industrial Engineering, Textile/Clothing Technology, or a related field is preferred .</li><li><b>Skills:</b> Excellent analytical, problem-solving, and leadership skills with the ability to interpret complex data and present findings to senior management .</li><li><b>Location:</b> Must be willing to work at our facility in the <b>Landhi / KEPZ area</b> or reside nearby.</li></ul><p>Application Question(s):</p><ul><li>What is your current salary ?</li><li>What is your expected salary ?</li></ul><p>Work Location: In person</p>

INDUSTRIAL ENGINEERING (IE) - ASSISTANT MANAGER / LEAD

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Skill: Quality Assurance Lead</div><br>
<div></div><br>
<div>Must Have Technical/Functional Skills:</div>
<div><ul><li>We are seeking a Quality Assurance Lead (Contractor) to drive end-to-end testing strategy and quality engineering practices for large-scale data platforms and distributed systems.</li>
<li>This role will focus on ensuring data integrity, regulatory compliance, and system reliability, particularly within high-volume batch and streaming environments.</li>
<li>The ideal candidate brings strong expertise in big data testing, automation frameworks, and data validation, along with experience in workflow orchestration and DevOps-driven QA processes.</li>
</ul></div><div>Roles &amp; Responsibilities:</div>
<div><ul><li>Lead and define the QA strategy, test planning, and execution across complex data and application platforms.</li>
<li>Design and implement automated testing frameworks using Python and PySpark for large-scale data validation.</li>
<li>Validate data pipelines across Hadoop ecosystem (HDFS, Hive, Impala, Sqoop) ensuring completeness, accuracy, and consistency.</li>
<li>Develop end-to-end test scenarios covering batch processing, data ingestion, transformation, and downstream consumption.</li>
<li>Perform database validation and reconciliation using Oracle PL/SQL and SQL-based techniques.</li>
<li>Validate machine learning pipelines and models, including experiment tracking via MLflow.</li>
<li>Monitor and validate workflows orchestrated through Control-M / CA-7 schedulers.</li>
<li>Collaborate with development teams to embed quality gates into CI/CD pipelines using Jenkins and Git.</li>
<li>Drive test automation within DevOps pipelines, ensuring seamless integration with build and release processes.</li>
<li>Perform Unix-based scripting for test automation, data checks, and batch validation.</li>
<li>Lead defect triage, root cause analysis, and resolution tracking.</li>
<li>Ensure adherence to regulatory and audit requirements, especially in data-sensitive environments.</li>
<li>Mentor QA engineers and promote best practices in test automation and quality engineering</li>
</ul></div><div>Required Skills &amp; Experience:</div>
<div><ul><li>8+ years of experience in Quality Assurance / Test Engineering, with leadership responsibilities.</li>
<li>Strong proficiency in Python and PySpark for automation and data validation.</li>
<li>Solid experience with big data platforms (Hadoop, Hive, Impala, Sqoop).</li>
<li>Hands-on expertise in Oracle PL/SQL and relational database validation.</li>
<li>Experience with workflow schedulers such as Control-M or CA-7.</li>
<li>Strong Unix/Linux scripting experience.</li>
<li>Experience integrating QA into CI/CD pipelines using Jenkins and Git.</li>
<li>Familiarity with DevOps practices and automated pipeline testing</li>
<li>Experience with container platforms (Docker / OpenShift)</li>
<li>Strong analytical and debugging skills, especially in data-related issues</li>
</ul></div><div>Nice-to-Have Skills</div>
<div><ul><li>Experience with Actimize or OFSAA FCCM platforms (financial crime / AML domain).</li>
<li>Exposure to cloud platforms (AWS &ndash; Glue, Athena, S3, SageMaker)</li>
<li>Experience testing machine learning models and data science workflows</li>
<li>Knowledge of data governance, lineage, and regulatory reporting frameworks</li>
</ul></div><div>Salary Range - $100,000-$110,000 a year</div><br>
<div></div><br>
<div>TCS Employee Benefits Summary:</div>
<div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div></div></div></div><div><div><div>Location
</div><div>Dallas, TX
</div></div><div><div>Job Function
</div><div>TECHNOLOGY
</div></div><div><div>Role
</div><div>Technical Lead
</div></div><div><div>Job Id
</div><div>421577
</div></div><div><div>Desired Skills
</div><div>Automation Testing | Quality Analyst
</div></div><div><div>Salary Range
</div><div>$100,000-$110,000 a year
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Technical Lead

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