data analytics engineer

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a detail-oriented and analytical <b>Data Analytics Engineer</b> with <b>3+ years of experience</b> in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in <b>Power BI</b>, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div><p><b><br>
Key Responsibilities:</b></p><br>
<ul><li>
Develop, maintain, and optimize <b>interactive dashboards and reports in Power BI</b>.<br>
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights.<br>
</li><li>
Design and implement <b>data models, DAX measures, and calculated fields</b> in Power BI.<br>
</li><li>
Create <b>ETL / data transformation workflows</b> using Power Query and SQL.<br>
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards.<br>
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems.<br>
</li><li>
Monitor report performance and improve dashboard usability and visualization standards.<br>
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports.<br>
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul><p><b><br>
</b><br>
</p><div></div><br>
<br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
3+ years of experience in <b>Data Analytics / BI Engineering / Reporting</b><br>
</li><li>
Strong expertise in <b>Power BI (Dashboards, DAX, Power Query, Data Modeling)</b><br>
</li><li>
Good experience in <b>SQL queries, joins, stored procedures, and data extraction</b><br>
</li><li>
Knowledge of <b>Excel (advanced formulas, pivot tables, data analysis)</b><br>
</li><li>
Understanding of <b>ETL processes and data warehousing concepts</b><br>
</li><li>
Strong analytical and problem-solving skills<br>
</li><li>
Good communication and stakeholder management skills</li></ul><p><b><br>
Preferred Skills:</b></p><br>
<ul><li>
Experience with <b>Python / Excel VBA / Tableau</b> is an added advantage<br>
</li><li>
Exposure to <b>Azure / cloud-based data platforms</b> preferred<br>
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div><p></p>

Data Analytics Engineer

Log-hub AG

<p>At Log-hub, we develop innovative and tailored data, analytics, and AI solutions within the supply chain and logistics niche. This empowers our customers to get more out of their data, creates transparency, and provides intelligent and modern decision support.</p><p>We are a company with flat hierarchies, creative minds, and innovative technologies! Everyone contributes and becomes an expert with us. Knowledge exchange and mutual support are key factors to our success. We&rsquo;re ONE Team with the motto HAVE FUN!</p><p>Are you about to successfully complete your studies or have you already graduated and are looking for the perfect start to your career? Then we look forward to receiving your application.</p><p>Your Challenges</p><ul><li>Together with the customer, you will define the requirements for the data projects.</li><li>You will specify the technical aspects and implement data pipelines with modern technologies (Azure Cloud, Google Cloud, AWS, KNIME, etc.).</li><li>You will develop tailor-made solutions with intelligent algorithms for large datasets, from designing the architecture to visualizing results in meaningful dashboards.</li><li>You will design and implement simulation and what-if models to assess and support complex supply chain and logistics decisions based on data (digital-twin).</li><li>You will be part of a mixed team (Log-hub &amp; customer) and act as a link and translator between business units, IT, and solution development.</li><li>You enjoy tackling tactical and strategic supply chain &amp; logistics challenges &ndash; customized demand forecasting, automated route optimization, network design analyses, changing production sites based on the BOM, etc.</li></ul><p>What you bring</p><ul><li>A completed degree (Computer Science, Business Informatics, Industrial Engineering, Mathematics, Physics, or similar) and a passion for quickly getting to grips with new topics.</li><li>Initial experience in data engineering/analytics, e.g., through an internship or trainee program.</li><li>Passion for innovative technologies, methods, and topics such as data engineering, analytics, machine learning, AI, big data, simulations, cloud platforms, and agile working methods (e.g., Scrum).</li><li>Initial experience with data technologies is an advantage, e.g., Microsoft Azure Synapse/Fabric, Databricks/Spark, Snowflake, Google BigLake, AWS Lake Formation, etc.</li><li>A team player with strong communication skills who shares expertise with others</li><li>Professional demeanour and fluency in English.</li></ul><p>Our benefits for you</p><ul><li>An opportunity to shape Log-hub in America with your ideas, insights, and entrepreneurial spirit.</li><li>Development + Perspective: Individual training and development opportunities based on your career aspirations, as well as the chance to take on responsibility quickly.</li><li>BYOD allowance for workspace design according to your individual needs.</li><li>Guaranteed variety: Different clients, topics, methods, and technologies - working as a Data &amp; Analytics Engineer will never be boring.</li></ul><p>Do you have a strong technical affinity and enjoy engaging with customers and providing consultancy? Do you appreciate hands-on technical work? If so, Log-hub is exactly the right company for you!</p><p>Application Question(s):</p><ul><li>How would you rate your English language proficiency (Basic / Intermediate / Advanced / Fluent)?</li><li>Do you hold a bachelor&rsquo;s degree?</li><li>Are you legally authorized to work in the United States?</li></ul><p>Work Location: Hybrid remote in Atlanta, GA 30332</p>

Data & Analytics Engineer (m/f/d)

Deloitte

<div>
 <strong>
  Senior Data &amp; Analytics Engineer, 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 by Deloitte North &amp; South Europe (NSE) 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>
 The team sits within AI &amp; Data consulting group. You&rsquo;ll be working on a range of initiatives and projects across different sectors.
 <br/>
 <br/>
 Our Projects Vary Greatly And Your Responsibility As a Consultant Will Differ Based On The Focus Of The Client Engagement And Your Skillset. However, Your Role Could Include And May Require You To:
 <br/>
 <br/>
 <ul>
  <li>
   Design or build part of a data solution such as an ETL component, data warehouse or reporting solution, data virtualization implementation.
  </li>
  <li>
   Work with client stakeholders to design the source to target mappings for a large-scale data migration.
  </li>
  <li>
   Advise clients on appropriate tooling for a particular solution based on your expertise in specific technologies.
  </li>
  <li>
   Conduct stakeholder interviews or support client workshops to capture business or technical requirements for a data solution.
  </li>
  <li>
   Support the development of client bids and presentations of proposals.
  </li>
  <li>
   Work effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.
  </li>
  <li>
   Develop and grow the Delivery practice by contributing to the development and delivery of training content, reusable assets, playbooks, and industry / technology propositions as well as actively participating in community events to share knowledge and nurture positive and collaborative relationships within the practice.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Connect To Your Skills And Professional Experience.
   <br/>
   <br/>
  </strong>
 </strong>
 The ideal candidate for this position will possess a range of personal qualifications and skills that will enable them to excel in this role.
 <br/>
 <br/>
 3 - 6 years of relevant experience.
 <br/>
 <br/>
 <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>
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data engineering and analytics.
 <br/>
 <br/>
 Candidates will have hands on experience with one or more technologies relevant to these areas:
 <br/>
 <br/>
 <ul>
  <li>
   Data Integration (including ETL / ELT).
  </li>
  <li>
   Data Migration.
  </li>
  <li>
   Master Data Management.
  </li>
  <li>
   Business Intelligence and Reporting.
  </li>
  <li>
   Data Warehousing.
  </li>
  <li>
   Data Virtualization.
  </li>
  <li>
   Big Data Engineering.
  </li>
  <li>
   Business and Data Analysis.
  </li>
  <li>
   Data Governance.
  </li>
  <li>
   Data Cataloguing.
  </li>
  <li>
   Data Quality.
   <br/>
   <br/>
  </li>
 </ul>
 We Are Specifically Looking For Candidates With Both Technical And Business Focused Skills, Who Can Articulate The Outcomes And Value Of Their Work, And Have Working Experience In Some Of The Following:
 <br/>
 <br/>
 <ul>
  <li>
   Experience of working as a data analyst with ability to translate business requirements into functional and technical data designs.
  </li>
  <li>
   Ability to demonstrate stakeholder management skills and collaborate effectively within multidisciplinary teams.
  </li>
  <li>
   Experience in Agile and/or DevOps for software development &amp; IT operations and knowledge of SDLC.
  </li>
  <li>
   Experience in ETL tools such as Informatica, SSIS, Talend or Pentaho.
  </li>
  <li>
   Knowledge of data governance and data management tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra.
  </li>
  <li>
   Knowledge of one or more databases such as MySQL, SQL Server, Oracle, Snowflake, PostgreSQL, and NoSQL databases.
  </li>
  <li>
   Familiarity with programming languages such as Spark or Python.
  </li>
  <li>
   Familiarity with popular cloud platforms such as Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Connect to your service line - Technology &amp; 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>
  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 organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; Dan, Consulting
 <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/>
 <br/>
 <br/>
 <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.
 <br/>
 <br/>
</div>


Deloitte Innovation Hub I Senior Data & Analytics Engineer, Cairo, Egypt

Jazz

<div>
 <p>
  <strong>
   Grade Level:
  </strong>
  &nbsp;L2
  <br/>
  <br/>
  <strong>
   Location:
  </strong>
  &nbsp;Islamabad
  <br/>
 </p>
 <p>
  <strong>
   What is Intermediate Analytics Engineer - Teknosys?
  </strong>
 </p>
 <p>
  We are looking for someone who has a strong analytical mindset with problem-solving aptitude. The ideal candidate will be entrepreneurial, truthful, innovative, collaborative and customer-focused, and must demonstrate these abilities from previous experiences. You need to have relevant experience in the Data Analytics domain and have experience with Agile methodologies.
 </p>
 <p>
  <strong>
   What does Intermediate Analytics Engineer - Teknosys do?
  </strong>
 </p>
 <ul>
  <li>
   Identify the improvement areas in Data Analytics and propose solutions to fill those gaps
  </li>
  <li>
   Build and maintain data analytics solutions to meet the analytical requirements of the company
  </li>
  <li>
   Deliver on the practice backlog, to improve standards and learning within the team
  </li>
  <li>
   Deliver on the functional backlog across the value chain, from Operations to Development to Reporting and Program Management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <p>
  <strong>
   What are we looking for and what does it require to be Intermediate Analytics Engineer - Teknosys?
  </strong>
 </p>
 <ul>
  <li>
   Minimum 4-7 years of experience in Data Analytics domain
  </li>
  <li>
   Experience working in agile environment
  </li>
  <li>
   Hands on knowledge of Data Lake and Data Warehousing
  </li>
  <li>
   Experience working with DevOps and Automation tools
  </li>
  <li>
   Hands on knowledge of ETL/BI tools
  </li>
  <li>
   Good understanding and experience of Shell Scripting
  </li>
  <li>
   Experience writing Advance SQL Queries
  </li>
  <li>
   Experience or familiarity with any of Programming Language (Java/R/Scala/Python)
  </li>
  <li>
   Willingness to work on and deliver on External Project Engagements on (Onsite / Offshore) &nbsp;Models.&nbsp;
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <p>
  <strong>
   Why Join Teknosys?
  </strong>
 </p>
 <p>
  At Teknosys, you will be at the forefront of Pakistan's digital transformation journey, shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 </p>
 <p>
  Joining us means being part of a fast-scaling, innovation-led business where your impact will directly fuel growth, customer success, and leadership.
 </p>
</div>


Intermediate Analytics Engineer - Teknosys (Proactive Pipeline)

Openkyber

<div><p>DataOps Engineer / Azure Data Engineer (Public Health Data Modernization) Location: Remote Position Type: Contract (15 months with multi-year extension options)</p>
<p>Prior experience health care data modernization projects for state projects is highly desired</p>
<b>Job Summary:</b>
<p>We are seeking a highly skilled DataOps Engineer to lead the operationalization of a large-scale public health data infrastructure modernization initiative. This role is critical in establishing a sustainable, staff-owned DataOps foundation to improve the quality, reliability, and usability of state-wide health data. You will work at the intersection of data engineering, quality assurance, and governance, utilizing a modern cloud stack centered on Azure DevOps, Azure Databricks, and AWS Data Lake architectures.</p>
<p>The ideal candidate is not just a technical expert but also a mentor who can perform hands-on co-development with internal teams to build durable organizational capacity.</p>
<b>Key Responsibilities:</b>
<ul><li>Data Quality &amp; Statistical Process Control (SPC): Develop and implement governed, version-controlled downstream Data Quality (DQ) rules and validation frameworks. Establish SPC monitoring for data volumes, timeliness, and distributions, including AI-assisted anomaly detection.</li>
<li>Infrastructure &amp; Pipeline Support: Translate downstream requirements into actionable specifications for upstream ingestion teams. Maintain operational performance metrics and observability dashboards.</li>
<li>Data Governance &amp; Metadata: Build and maintain data glossaries, catalogs, and end-to-end lineage visualizations within established governance tools. Define data contract requirements for external vendors, including schema expectations and QA thresholds.</li>
<li>Analytics &amp; BI Enablement: Develop governed Power BI semantic models (Cost, Quality, Access) and standardized dashboards with integrated DQ/SPC overlays.</li>
<li>Organizational Enablement: Lead role-based training through active co-building sessions. Document all processes, runbooks, and SOPs as living Wikis within Azure DevOps to ensure long-term sustainability.</li>
</ul><b>Required Technical Stack:</b>
<ul><li>Platform: Azure DevOps (Boards, Repos, Pipelines, Wikis).</li>
<li>Data Engineering: Azure Databricks and AWS Data Lake (Medallion Architecture).</li>
<li>Visualization: Power BI (DAX, RLS, semantic modeling).</li>
<li>Automation: Power Automate and SharePoint integration.</li>
<li>Architecture: Experience with native AWS services and complex data ingestion pipelines.</li>
</ul><b>Preferred Qualifications:</b>
<ul><li>Certifications: Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.</li>
<li>Domain Expertise: Prior experience with healthcare data infrastructure (e.g., APCD, Medicaid, or clinical datasets).</li>
<li>Management: DAMA CDMP, Lean Six Sigma, or Prosci Change Practitioner certifications.</li>
<li>Agile: SAFe Practitioner or Scrum Master (CSM/PSM).</li>
</ul><p>DataOps Engineer, Azure Data Engineer, Databricks, Azure DevOps Pipelines, Power BI Developer, Healthcare Data Analytics, AWS Data Lake, Medallion Architecture, Data Governance, Statistical Process Control, Metadata Management, Data Quality Engineering, AI Anomaly Detection, Semantic Modeling, DAX, SQL, Python, Public Health IT, Data Lineage, CDMP.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Azure Network Engineer

AmeriHealth Caritas

<div><p><b>THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.
</b></p><p><b>WE WILL NOT CONSIDER REMOTE CANDIDATES!</b></p><p><b>
Role Overview</b></p><p>
We are seeking an <b>Azure Data Engineer </b>with an extensive background in building data pipelines using Azure Data Factory and Databricks to join our growing Enterprise Data Office. You will be designing and implementing optimal data pipelines/flows from multiple sources; experience with Snowflake and Azure Synapse is a plus.. If you are a confident, skilled, and energetic professional and can complement a blended team, we want to meet you.</p><p><b>
Responsibilities</b></p><ul><li>
Build and maintain scalable automated data pipelines. Support critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation.
</li><li>Strong experience as an Azure Data Engineer and must have Azure Databricks and Azure Data Factory experience.</li><li>
Demonstrated experience of turning business use cases and requirements into technical solutions.</li><li>
Expert level understanding on Azure Data Factory, SQL, ADLS, Azure Databricks, PySpark, Azure DevOps, Kafka, Python is required.</li><li>
Experience in business processing mapping of data and analytics solutions.</li><li>
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.</li><li>
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.</li><li>
HVR, Snowflake, Azure Synapse, SQL Server, Collibra Governance tools is a plus.</li><li>
Experience preparing data for Data Science and Machine Learning.</li><li>
Experience preparing data for use in Azure Databricks.</li><li>
Demonstrated experience preparing data and building data pipelines reusable components and frameworks.</li><li>
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>
Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data needs.</li><li>
Identify and tackle issues concerning data management to improve data quality.</li><li>
Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage.</li><li>
Strong knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.</li><li>
Strong team collaboration and experience working with remote teams.</li><li>
Experience with Git/TFS/VSTS is a must.</li></ul><p><b>
Education and Experience</b></p><ul><li>
At least five (5)+ years of experience with Azure Data Engineering.</li><li><b>
At least four (4)+ years of hands-on experience in Azure Databricks and Azure Data Factory.
</b></li><li><b>At least five (5)+ years of experience programming in Python, PySpark, Scala, Shell, T-SQL etc.</b></li><li>
Experience as Data Engineer in Azure Big Data Environment.</li><li>
Expertise in ETL tools i.e. (SSIS, Data Stage).</li><li>
Expertise in Implementing Data Warehousing and Data Lake Solutions.</li><li>
Experience with working in Agile environment as part of a scrum team.</li><li>
Hands-on experience in Azure stack and hands-on experience on HVR, Kafka and Snowflake.</li><li>
Good understanding of Azure Databricks platform and ability to build data analytics solutions to support the required performance &amp; scale.</li><li>
Good understanding and experience working on Deltalake using Apache Delta and Unity Catalog in Azure Databricks.</li><li>
Experienced working on performance tuning and optimizing long running jobs.</li><li>
Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment.</li><li>
Solid understanding of Modern Data Warehouse and Data Warehousing concepts.</li><li>
Proficient in a source code control system.</li><li>
Bachelor&rsquo;s degree in technology, related field or equivalent combination of education and relevant work experience.</li></ul><p><b>
Our Comprehensive Benefits Package</b></p><p>
Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.</p><p>
Your career starts now. We are looking for the next generation of health care leaders.</p><p>
At AmeriHealth Caritas, we are passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we would like to connect with you.</p><p>
Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.</p><p>
Discover more about us at www.amerihealthcaritas.com.</p></div>

Azure Data Engineer

<div>Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.<br>
<br>
<b>Work You'll Do</b><br>
<br>
The Palantir Data Engineer will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes.<br>
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<b>The Team</b><br>
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Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
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Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.<br>
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<b>Qualifications</b><br>
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Required:<br>
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Bachelor's Degree required.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li><li>
1+ years of data science and data manipulation.</li><li>
1+ years of experience with pipeline and application development within Palantir Foundry.</li><li>
1+ years experience working with Palantir Foundry engineers.</li><li>
2 + years of experience as a Data Engineer, Or Data Scientist.
</li><li>Must be able to obtain and maintain required security clearances for the role.</li>
Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve.<br>
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Preferred:<br>
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2+ years of prior professional services or federal consulting experience.</li><li>
Creativity and innovation - desire to learn and apply new technologies, products, and libraries.</li><li>
Strong written and verbal communication skills.</li><li>
Strong organizational skills.</li></ul><br>
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html<br>
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Palantir Data Engineer

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