azure data engineer

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Azure Data Engineer
</div></div></div></div><div><div><div><div>City: Dallas
</div></div></div></div><div><div><div><div>State/Province: Texas
</div></div></div></div><div><div><div><div>Posting Start Date: 3/19/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Location - Dallas, TX
</b></p><p><b>Role - Azure Data Engineer
</b></p><p><b>JD -
</b></p><p>5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions &bull; 5-7 years data analytics experience using SQL &bull; 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. &bull; Combination of Development, Administration &amp; Support experience in several of the following tools/platforms required: o Scripting: Python, Spark, Unix, SQL o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana o Clear understanding on Data Warehousing concept o Data Governance and Privacy: Informatica Axon and EDC, BigID o Orchestration: Azure Data Factory, Tivoli Airline Industry Experience
</p><p>Key
</p><p>Responsibilities* &middot; Act as Technical Lead in Data Engineering Proven expertise in the skills provided &middot; Act as subject matter expert for data domain within the IT organization and work with business to author self-service data products
</p><p>&middot; Collaborate with leaders, business analysts, project managers, IT architects, technical leads, and other developers, along with internal customers and cross functional teams to implement data strategy &middot; Design and build data engineering pipeline frameworks while ensuring these are reusable, scalable, efficient, maintainable, gracefully recover from failures, reprocessing the data should be easy. Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation Expertise in providing practical direction within the Azure Native cloud service<br>
</p></div></div></div></div></div></div></div><p></p><br>
<div><div><div><div>Mandatory Skills: Azure Data Factory .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>The expected compensation for this role ranges from $60,000 to $135,000 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

Azure Data Engineer

ATinfo Technology Inc

<p><b>NO C2C ALLOWED. LOCAL TO MICHIGAN CANDIDAES ONLY.</b></p><p>We are seeking a skilled Azure Developer (Data Engineer) with a strong data engineering background to support a data warehouse migration initiative. This role involves balancing current-state production support with building modern Azure-based data solutions as part of a long-term migration strategy.</p><p><b>Key Responsibilities</b></p><p><b>Azure Data Engineering (Primary Focus):</b></p><ul><li>Develop and support Azure-based data engineering solutions for <b>data warehouse migration</b></li><li>Contribute to data platform development using Azure services such as Databricks and Data Factory</li><li>Work across the Azure data stack to support end-to-end data workflows</li></ul><p><b>Current Environment Support (Initial Ramp-Up):</b></p><ul><li>Support existing production systems and enhancements in a SQL-heavy environment</li><li>Work with SSIS workflows and existing tools during migration planning phase</li><li>Ensure smooth &ldquo;run the business&rdquo; operations while transition is underway</li></ul><p><b>Required Skills</b></p><ul><li>Strong hands-on experience with Azure data engineering (real project delivery required)</li><li>Expertise in:</li><li><b>Azure Databricks</b></li><li><b>Azure Data Factory</b></li><li><b>Python</b></li><li>Solid understanding of end-to-end data engineering in Azure</li><li>Experience working on at least one data warehouse project</li><li>Strong understanding of data warehousing concepts vs OLTP systems</li><li>Ability to work independently with minimal supervision</li></ul><p><b>Legacy Environment Requirements (Mandatory)</b></p><ul><li>Willingness to work in a legacy environment for 3&ndash;4 months during initial ramp-up</li><li>Experience with:</li><li>SQL Server (strong query writing skills)</li><li>Stored Procedures (basic proficiency)</li><li>SSIS (basic understanding of data flows, sources, and targets)</li><li>Comfortable working with existing tools (e.g., SQL-based systems and workflows)</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with Microsoft Fabric</li></ul><p>Pay: $50.00 per hour</p><p>Work Location: Hybrid remote in Novi, MI 48375</p>

Azure Data Engineer(Local to MI)

Golden Technology

<div>
 The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience as a Data Engineer
  </li>
  <li>
   Hands-on experience with Azure Databricks, Spark, and Python
  </li>
  <li>
   Experience with Delta Live Tables (DLT) or Databricks SQL
  </li>
  <li>
   Strong SQL and database background
  </li>
  <li>
   Experience with Azure Functions, messaging services, or orchestration tools
  </li>
  <li>
   Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
  </li>
  <li>
   Experience monitoring and optimizing Databricks clusters or workflows
  </li>
  <li>
   Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
  </li>
  <li>
   Experience with Terraform for cloud infrastructure provisioning
  </li>
  <li>
   Experience with GitHub and GitHub Actions for version control and CI/CD automation
  </li>
  <li>
   Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
  </li>
  <li>
   Familiarity with SDLC and modern engineering practices
  </li>
  <li>
   Ability to balance multiple priorities, work independently, and stay organized
   <br/>
   <br/>
  </li>
 </ul>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Analyze, design, and develop enterprise data solutions with a focus on Azure, Databricks, Spark, Python, and SQL
  </li>
  <li>
   Develop, optimize, and maintain Spark/PySpark data pipelines, including managing performance issues such as data skew, partitioning, caching, and shuffle optimization
  </li>
  <li>
   Build and support Delta Lake tables and data models for analytical and operational use cases
  </li>
  <li>
   Apply reusable design patterns, data standards, and architecture guidelines across the enterprise, including collaboration with when needed
  </li>
  <li>
   Use Terraform to provision and manage cloud and Databricks resources, supporting Infrastructure as Code (IaC) practices
  </li>
  <li>
   Implement and maintain CI/CD workflows using GitHub and GitHub Actions for source control, testing, and pipeline deployment
  </li>
  <li>
   Manage Git-based workflows for Databricks notebooks, jobs, and data engineering artifacts
  </li>
  <li>
   Troubleshoot failures and improve reliability across Databricks jobs, clusters, and data pipelines
  </li>
  <li>
   Apply cloud computing skills to deploy fixes, upgrades, and enhancements in Azure environments
  </li>
  <li>
   Work closely with engineering teams to enhance tools, systems, development processes, and data security
  </li>
  <li>
   Participate in the development and communication of data strategy, standards, and roadmaps
  </li>
  <li>
   Draft architectural diagrams, interface specifications, and other design documents
  </li>
  <li>
   Promote the reuse of data assets and contribute to enterprise data catalog practices
  </li>
  <li>
   Deliver timely and effective support and communication to stakeholders and end users
  </li>
  <li>
   Mentor team members on data engineering principles, best practices, and emerging technologies
  </li>
 </ul>
</div>


Data Engineer 2

Zones IT Solutions

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Company Overview:
 <br/>
 <br/>
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 <br/>
 <br/>
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 <br/>
 <br/>
 Position Overview
 <br/>
 <br/>
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do As The Data Engineer
  <br/>
  <br/>
 </strong>
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 <br/>
 <br/>
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
  </li>
  <li>
   Develop transformation workflows in Azure Databricks.
  </li>
  <li>
   Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
  </li>
  <li>
   Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
  </li>
  <li>
   Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
  </li>
  <li>
   Ensure data security and governance, including PII handling, access policies, and Key Vault.
  </li>
  <li>
   Collaborate with application and integration engineers on API-driven and event-driven data requirements.
  </li>
  <li>
   Support Power BI at a basic level (datasets, model optimization, refresh schedules)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Bring To The Team
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
  </li>
  <li>
   Strong expertise in:
  </li>
  <ul>
   <li>
    Azure Data Factory (ADF)
   </li>
   <li>
    Azure Databricks
   </li>
   <li>
    Azure SQL
   </li>
  </ul>
  <li>
   Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
  </li>
  <li>
   Comfortable integrating with APIs, Logic Apps, and Function Apps.
  </li>
  <li>
   Working knowledge of Power BI datasets and refresh management.
  </li>
  <li>
   Clear communication skills and the ability to work independently and cross-functionally.
   <br/>
  </li>
 </ul>
 Zones offers a comprehensive Benefits package
 <br/>
 <br/>
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 <br/>
 <br/>
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 <br/>
 <br/>
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 <br/>
 <br/>
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 <br/>
 <br/>
</div>


Data Engineer

Simpson Thacher & Bartlett LLP

<div><p>The Data Engineer is responsible for developing, maintaining, and optimizing data pipelines and analytics solutions across the Microsoft data ecosystem. This role focuses on building reliable ETL/ELT workflows using Azure Data Factory, Databricks, Microsoft Fabric, SQL Server, and Python to support reporting, analytics, and data science initiatives. The engineer collaborates with senior team members, analysts, and business partners to deliver clean, well structured data while contributing to the modernization of cloud-based data platforms. This position requires strong technical fundamentals, attention to detail, and a desire to grow into more advanced engineering and architectural responsibilities.
</p><p></p><p><b>Essential Job Duties &amp; Responsibilities
</b></p><ul><li><p>Oversee the development and optimization of SQL Server databases and queries to meet complex reporting and analytical needs.
</p></li><li><p>Write and maintain Python scripts for sophisticated data transformation, analysis, and automation tasks.
</p></li><li><p>Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and translate data requirements into technical solutions.
</p></li><li><p>Troubleshoot and resolve complex data-related issues, ensuring high data quality and reliability.
</p></li><li><p>Monitor, optimize, and scale data workflows to improve performance and cost-efficiency.
</p></li><li><p>Develop and enforce best practices for data engineering processes, documentation, and governance.
</p></li></ul><p></p><p><b>Education
</b></p><p>Required
</p><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience in lieu of formal education.
</p></li><li><p>Legal IT experience a plus but not required
</p></li></ul><p></p><p><b>Skills and Experience
</b></p><p>Required
</p><ul><li><p>2-4 years experience working with enterprise level relational and/or non-relational database and ETL/ELT technologies.
</p></li><li><p>Extensive experience with Azure Data Lake Storage, Azure Data Factory, Databricks, SQL Server, and Python.
</p></li><li><p>Demonstrated experience in the implementation and creation of both on-premise SQL Server Databases as well as Azure SQL Databases.
</p></li><li><p>Deep understanding of data modeling, ETL processes, data warehousing concepts, and data architecture.
</p></li><li><p>Advanced proficiency in SQL for complex querying and database management.
</p></li><li><p>Strong experience with Python for advanced data manipulation and automation tasks.
</p></li><li><p>In-depth knowledge of cloud computing concepts and services, particularly within Azure.
</p></li><li><p>Excellent problem-solving abilities and attention to detail.
</p></li><li><p>Exceptional communication skills and experience working collaboratively in a team-oriented environment.
</p></li><li><p><b>Experience with data governance and data quality frameworks.
</b></p></li><li><p>Familiarity with Azure services (e.g., Azure Synapse Analytics, Azure SQL Database, Cosmos DB) and big data technologies.
</p></li><li><p>Experience with semi-structured/NoSQL databases is a plus.
</p></li><li><p>Azure data certifications (e.g., Azure Data Engineer Associate) are a plus but not required.
</p></li></ul><p></p><p><b>Salary Information
</b></p><p></p><div><p>NY Only: The estimated base salary range for this position is $150,000 to $175,000 at the time of posting.
</p></div><p></p><div><div><div><div><p>The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.
</p></div></div></div></div><p>Simpson Thacher will not sponsor applicants for work visas for this position.
</p><p></p><p><b>Privacy Notice
</b></p><p>For information about how Simpson Thacher &amp; Bartlett LLP collects and processes your personal information, please refer to our Privacy Notice available at https://www.stblaw.com/other/privacy-notice .
</p><p></p><p>Simpson Thacher &amp; Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, gender identity or expression, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, veteran&rsquo;s status or any other legally protected status. This Policy pertains to every aspect of an individual&rsquo;s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.
</p><p></p>#LI-Hybrid</div>

AEM Corporation

<p><div><div><div><div><b>Data Engineer</b><br>
<b>Position Summary</b><br>
Join our team as a Data Engineer and become a key contributor to building trusted, high-quality data products for Federal clients. You will design, implement, and operate scalable data pipelines and lakehouse solutions using Microsoft Azure services including, Azure Synapse, ADLS Gen2, and Azure Functions, and Logic apps. You will collaborate closely with product owners, analysts, and stakeholders in a Scrum environment. The ideal candidate is hands-on, curious, collaborative, comfortable asking for help, offering help, and proposing ideas that improve team velocity and value.<br>
<b>What You&rsquo;ll Do</b>
<ul><li>Design and implement secure, scalable data pipelines in Azure (Synapse Notebooks, Python, Pandas, pySpark, Synapse Pipelines, Azure Functions, Logic Apps, etc.) to ingest, profile, transform, improve data quality, and publish trusted data.
</li></ul><ul><li>Engineer robust lake storage on ADLS Gen2 using Parquet, Iceberg, partitioning techniques, and performance optimization techniques.
</li></ul><ul><li>Establish data quality controls: profiling, validation rules, reproducible transformations, and automated tests with monitoring/alerting.
</li></ul><ul><li>Operationalize pipelines with CI/CD, environment promotion, secrets management, and run-time observability (e.g., Azure DevOps).
</li></ul><ul><li>Model and serve data for analytics/BI (e.g., Power BI), including row-level security and refresh orchestration.
</li></ul><ul><li>Document design decisions, lineage, and data contracts; contribute to catalog/metadata management (e.g., Microsoft Purview).
</li></ul><ul><li>Collaborate within a Scrum team&mdash;participate in sprint planning, reviews, and retros&mdash;and partner with product owners/stakeholders to refine user stories.
</li></ul><ul><li>Continuously improve team ways of working: propose automation, standardization, and quality practices that increase throughput and reliability.</li>
</ul><b>What You&rsquo;ll Bring (Required Qualifications)</b>
<ul><li>U.S. citizen with the ability to obtain a Public Trust background investigation.</li>
</ul><ul><li>5+ years of professional data engineering experience and a bachelor&rsquo;s degree (or 3+ years with a related advanced degree).</li>
</ul><ul><li><b>Strong Python (pandas, PySpark) and SQL</b>; experience building reproducible, testable data transformations.
</li></ul><ul><li>Hands-on expertise with Azure Synapse Analytics (Notebooks/SQL/Spark) and ADLS Gen2.
</li></ul><ul><li><b>Production experience</b> with Synapse or Azure Data Factory, Functions, and Logic Apps for event-driven orchestration.
</li></ul><ul><li><b>Solid data architecture fundamentals</b> (lakehouse patterns, partitioning, schema management) and performance tuning at scale.
</li></ul><ul><li><b>Data quality, lineage, and governance mindset</b>; familiarity with Microsoft Purview or equivalent catalog/lineage tooling.
</li></ul><ul><li>Version control (Git) and CI/CD practices (e.g., Azure DevOps) for data solutions.
</li></ul><ul><li><b>Excellent communication skills </b>and a collaborative, help-seeking/help-giving approach in a Scrum team.
</li></ul><b>Preferred Qualifications</b>
<ul><li>Experience integrating with AWS data services (S3, Glue/Glue Data Catalog, Lambda) and/or cross-cloud data patterns.
</li></ul><ul><li><b>Experience enabling BI/analytics</b> (Power BI, model design, RLS) and supporting analysts with performant datasets.
</li></ul><ul><li><b>Experience building observability</b> for data systems (usage/cost telemetry, data SLAs, pipeline health dashboards).
</li></ul><ul><li><b>Familiarity with MDM</b> <b>and reference data</b> concepts and enterprise governance.
</li></ul><ul><li><b>Relevant certifications:</b> Microsoft Azure Data Engineer (DP-203), Azure Enterprise Data Analyst, or AWS data certifications.
</li><li><b>Existing Federal Government Clearance.</b></li>
</ul><b>How We Work</b>
<ul><li><b>Scrum-aligned:</b> contribute to clear user stories, sizing, and acceptance criteria; continually update documentation for work items in progress; participate actively in planning, reviews, and retros.
</li></ul><ul><li><b>Team-first:</b> seek help early, offer help freely, and elevate team standards through code reviews, pairing, and documentation.
</li></ul><ul><li><b>Outcome-driven:</b> measure impact (performance, quality, cycle time) and iterate on process and tooling to increase value delivery.</li><br>
</ul></div></div><br>
<br>
<br>
</div></div><div></div><div><div><div><div>AEM and its affiliates are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status, or any other characteristic protected by law. &ndash; AA M/F/Vet/Disability<br>
<br>
Federal law requires AEM and its affiliates to verify identity and employment eligibility with information from your Form I-9. The E-Verify system is used.<br>
<br>
The California Consumer Privacy Act of 2018 (&ldquo;CCPA&rdquo;) imposes specific obligations on businesses processing personal information of California residents. Pursuant to the CCPA, AEM and its affiliates are required to provide applicants who are California residents a notice, used at or before the point of collection of such personal information, which identifies the categories of personal information that may be collected and why AEM and its affiliates collect such information. Applicants can find information about AEM&rsquo;s privacy policy and CCPA here.</div><br>
</div><br>
</div></div><br>
<br>
AEM is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.<br>
XJ6</p>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>Job Description</b></p>
<p><b>Data Engineer</b></p>
<p><b>Must Have Technical/Functional Skills:</b></p>
<p>Digital : Microsoft Azure; Windows Servers; Compute; Cloud; Windows Powershell; PL/SQL; powerBI</p>
<p><b>Roles &amp; Responsibilities</b>:</p>
<p>Design and develop semantic models and Power BI dashboards by integrating data from multiple sources, including Azure DevOps and Halo, to provide Team Leads and stakeholders with a unified, comprehensive view of operational data.</p>
<p>Create calculated columns and advanced DAX measures to deliver customized KPIs, metrics, and actionable insights aligned with business requirements.</p>
<p>Develop and optimize KQL and SQL queries to filter, aggregate, and join data from various data sources for seamless Power BI integration.</p>
<p>Own Power BI dataset governance and security, including role-based access control (RLS), workspace management, and adherence to organizational data standards.</p>
<p>Manage the Power BI deployment pipeline, ensuring reports and datasets move reliably from development through testing and into production.</p>
<p>Utilize Microsoft Fabric Lakehouse for data ingestion from Azure DevOps (ADO), ensuring consistent data append, availability, and readiness for downstream semantic models and reporting.</p>
<p>Collaborate with business and technical stakeholders to translate reporting needs into scalable analytics solutions.</p>
<p><b>Generic Managerial Skills:</b></p>
<p>Infrastructure as Code(IaC); Azure Monitoring; Kusto; ADO</p>
<p><b>TCS Employee Benefits Summary:</b></p>
<p>Discretionary Annual Incentive.</p>
<p>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</p>
<p>Family Support: Maternal &amp; Parental Leaves.</p>
<p>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</p>
<p>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</p>
<p>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</p>
<p>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</p>
<p>Salary Range: $64,000-$120,000 a year</p>
<p>#LI-NS4</p><p><br>
</p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Dublin, CA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>402520</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data Analytics</div>
</div><div><div><b>Salary Range</b></div>
<div>$64,000-$120,000 a year</div></div></div></div><div></div>

Engineer Data Management

Search 10000+ Azure data engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 azure data engineer jobs Near Me

Azure Data Engineer

Azure Data Engineer(Local to MI)

Data Engineer 2

Data Engineer

Data Engineer

Data Engineer

Engineer Data Management