data management engineer

Verizon

<div><h3 class="jobSectionHeader"><b>When you join Verizon</b></h3><p>
You want more out of a career. A place to share your ideas freely &mdash; even if they&rsquo;re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love &mdash; driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together &mdash; lifting our communities and building trust in how we show up, everywhere &amp; always. Want in? Join the #VTeamLife.</p><p></p><p><b>
What you&rsquo;ll be doing&hellip;</b></p><p>
We are looking for data engineers who can work with world class team members to help drive telecom business to its full potential. We are building data products / assets for telecom wireless and wireline business which includes consumer analytics, telecom network performance and service assurance analytics etc. We are working on cutting edge technologies like digital twin to build these analytical platforms and provide data support for varied AI ML implementations.</p><p>
As a data engineer you will be collaborating with business product owners, coaches, industry renowned data scientists and system architects to develop strategic data solutions from sources which includes batch, file and data streams</p><p>
As a Data Engineer with ETL/ELT expertise for our growing data platform &amp; analytics teams, you will understand and enable the required data sets from different sources both structured and unstructured data into our data warehouse and data lake with real-time streaming and/or batch processing to generate insights and perform analytics for business teams within Verizon.</p><ul><li><p>
Understanding the business requirements and the technical design.</p></li><li><p>
Working on Data Ingestion, Preparation and Transformation.</p></li><li><p>
Developing data streaming applications.</p></li><li><p>
Debugging the production failures and identifying the solution.</p></li><li><p>
Working on ETL/ELT development.</p></li></ul><p></p><p><b>
What we&rsquo;re looking for...</b></p><p>
You&rsquo;re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solving business problems.</p><p><b>
You&rsquo;ll need to have:</b></p><ul><li><p>
Bachelor&rsquo;s degree or one or more years of work experience.</p></li><li><p>
Experience with Data Warehouse concepts and Data Management life cycle.</p></li><li><p>
Experience in any DBMS</p></li><li><p>
Experience in GCP/BigQuery.</p></li></ul><p></p><p><b>
Even better if you have one or more of the following:</b></p><ul><li><p>
Any relevant Certification on ETL/ELT developer.</p></li><li><p>
Certification in GCP-Data Engineer.</p></li><li><p>
Accuracy and attention to detail.</p></li><li><p>
Good problem solving, analytical, and research capabilities.</p></li><li><p>
Good verbal and written communication.</p></li><li><p>
Experience presenting to and influence stakeholders.</p></li></ul><p></p><p>
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don&rsquo;t meet every &ldquo;even better&rdquo; qualification listed above.</p><p></p><h3 class="jobSectionHeader"><b>
Where you&rsquo;ll be working</b></h3>
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.<p></p><h3 class="jobSectionHeader"><b>
Scheduled Weekly Hours</b></h3>
40<p></p><h3 class="jobSectionHeader"><b>
Equal Employment Opportunity</b></h3><p>
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.</p></div>

Engineer II-Data Engineering

GSSTech Group

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
We are looking for an experienced <b>Data Engineer</b> with strong expertise in building and maintaining robust data pipelines, optimizing data workflows, and ensuring the availability of high-quality data for business insights and real-time systems (RTS). The ideal candidate will have hands-on experience with modern data engineering tools, cloud platforms, and big data ecosystems.</p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Design, build, and maintain scalable <b>data pipelines</b> and ETL/ELT processes.
</li><li>Work with structured and unstructured datasets to ensure <b>data quality, accuracy, and availability</b>.
</li><li>Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets for analytics and reporting.
</li><li>Optimize query performance and <b>ensure real-time/near-real-time data processing</b> for RTS.
</li><li>Implement <b>data security, governance, and compliance standards</b>.
</li><li>Troubleshoot data-related issues and ensure system reliability and scalability.
</li><li>Stay updated with emerging tools and best practices in <b>big data and cloud-based data engineering</b>.
</li></ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Experience</b></h3><ul>
<li><b>5&ndash;8 years</b> of proven experience as a <b>Data Engineer</b> or in a similar role.
</li><li>Strong proficiency in <b>SQL, Python, or Scala</b>.
</li><li>Hands-on experience with <b>big data technologies</b> (Hadoop, Spark, Kafka, Hive, etc.).
</li><li>Experience with <b>cloud platforms</b> (AWS, Azure, or GCP) and their data services (e.g., Redshift, Snowflake, BigQuery, Data Lake).
</li><li>Strong understanding of <b>ETL/ELT frameworks, data warehousing, and data modeling</b>.
</li><li>Experience with <b>real-time data streaming</b> and processing frameworks.
</li><li>Good knowledge of <b>CI/CD, version control (Git), and DevOps practices</b>.
</li><li>Excellent problem-solving and communication skills.
</li></ul><h3 class="jobSectionHeader"><b>Nice-to-Have</b></h3><ul>
<li>Experience in <b>containerization and orchestration</b> (Docker, Kubernetes, Airflow, etc.).
</li><li>Knowledge of <b>data governance and security best practices</b>.
</li><li>Familiarity with <b>machine learning pipelines</b>.
</li></ul><h3 class="jobSectionHeader"><b>Education</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Information Technology, Engineering, or a related field</b>.</li></ul></div>

Data Engineer (RTS)

Guardian Life

<div><div>Job Description:</div><div>
Responsibilities for Data Engineer (AM Role)</div><ul><li>
Develop data pipelines in Python, SQL - build reusable python components.</li><li>
Good understanding of Individual Insurance Markets</li><li>
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li><li>
Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>
Develop processes and tools to monitor and analyze model performance and data accuracy.</li><li>
Team management. Exhibits strong understanding of core business processes and the purpose of the team.</li><li>
Build strong relationships with US teams to identify and deliver enhancements .</li><li>
Provide regular updates to stakeholders and discuss solutions to potential problem areas.</li><li>
Drive opportunities to leverage / improve quality &amp; efficiency</li><li>
Guiding team on implementing solutions using appropriate analytical tools &amp; techniques</li><li>
Project management skills with an emphasis on identifying and solving complex business issues, ability to plan, organize and set priorities.</li></ul><div></div><div>
Qualifications for Data Engineer (AM Role)</div><ul><li>
Strong problem-solving skills with an emphasis on product development.</li><li>
Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.</li><li>
Experience working with and creating data architectures.</li><li>
Excellent written and verbal communication skills for coordinating across teams.</li><li>
A drive to learn and master new technologies and techniques.</li><li>
We&rsquo;re looking for someone with 10+ years of experience manipulating data sets and is familiar with the following software/tools:<ul><li>
Coding knowledge and experience with: Python, SQL, etc.</li><li>
Experience querying databases and using statistical computer languages: Python, SQL, etc.</li><li>
Experience analyzing data from 3rd party providers: Google Analytics, Salesforce, Neustar, Facebook Insights, etc.</li><li>
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.</li></ul></li></ul><div></div><div>
Location:</div><div>
This position can be based in any of the following locations:</div>
Chennai, Gurgaon<div>
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday</div></div>

Assistant Manager - Data Engineering

Accenture

<p><b>Project Role : </b>Data Platform Engineer<br>
<b>Project Role Description : </b>Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
<br>
<b>Must have skills : </b>Data Engineering<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture and platform functionality. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with industry trends and technologies. - Assist in the documentation of data platform processes and best practices. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data Engineering. - Good To Have Skills: Experience with cloud data platforms such as AWS or Azure. - Strong understanding of data modeling techniques and best practices. - Experience with ETL processes and tools. - Familiarity with data warehousing concepts and technologies. Additional Information: - The candidate should have minimum 3 years of experience in Data Engineering. - This position is based at our Pune office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Data Platform Engineer

<div></div><div><div><div><div><ul><div>3 - 5 Years</div>
<div></div><div>3 Openings</div>
 <div>Chennai, Kochi, Trivandrum</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>Role Proficiency:</p>
<p>
This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be adept at using ETL tools such as Informatica Glue Databricks and DataProc with coding skills in Python PySpark and SQL. Works independently and demonstrates proficiency in at least one domain related to data with a solid understanding of SCD concepts and data warehousing principles.</p>
<p></p>
<p>JD for Data Engineer:</p>
<p>
This role will be part of the UST Data Science team, which has achieved great recognition and results in its short life.</p>
<ul>
<li>The Data Engineer will engage with external Clients and internal customers, understand their needs, and design, build, and maintain data pipelines and infrastructure using Google Cloud Platform (GCP).</li>
<li>This will involve the design and implementation of scalable data architectures, ETL processes, and data warehousing solutions on GCP.</li>
<li>The role requires expertise in big data technologies, cloud computing, and data integration, as well as the ability to optimize data systems for performance and reliability.</li>
<li>This requires a blend of skills including programming, database management, cloud infrastructure, and data pipeline development.</li>
<li>Additionally, problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are valuable traits.</li>
<li>You will frequently work as part of a scrum team, together with data scientists, ML engineers, and analyst developers, to design and implement robust data infrastructure that supports analytics and machine learning initiatives.</li>
<li><b><i>Technical Skills</i></b>:</li>
<li>Mandatory Skills: Big Query, ETL, Data Management, Python, SQL, Kubernetes, Cloud computing (GCP, Azure) Optional Skills: Cloud Storage, Hadoop, Kafka</li>
<li>Responsibilities:</li>
<li>Design, build, and maintain scalable data pipelines and ETL processes using GCP services such as Cloud Dataflow, Cloud Dataproc, and BigQuery.</li>
<li> Implement and optimize data storage solutions using GCP technologies like Cloud Storage, Cloud SQL, and Cloud Spanner.</li>
<li>Develop and maintain data warehouses and data lakes on GCP, ensuring data quality, accessibility, and security.</li>
<li>Collaborate with data scientists and analysts to understand data requirements and provide efficient data access solutions.</li>
<li>Implement data governance and security measures to ensure compliance with regulations and best practices.</li>
<li>Automate data workflows and implement monitoring and ing systems for data pipelines.</li>
<li>Sharing data engineering knowledge with the wider functions and developing reusable data integration patterns and best practices.</li>
<li><b>Skills/Experience:</b></li>
<li>BSc/MSc in Computer Science, Information Systems, or related field, or equivalent work experience.</li>
<li>Proven experience (5+ years) as a Data Engineer or similar role, preferably with GCP expertise.</li>
<li>Strong proficiency in SQL and experience with NoSQL databases.</li>
<li>Expertise in data modeling, ETL processes, and data warehousing concepts.</li>
<li>Significant experience with GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.</li>
<li>Proficiency in at least one programming language (e.g., Python, Java, or Scala) for data pipeline development.</li>
<li>Experience with big data technologies such as Hadoop, Spark, and Kafka.</li>
<li>Knowledge of data governance, security, and compliance best practices.</li>
<li>GCP certifications (e.g., Professional Data Engineer) are highly advantageous.</li>
<li> Effective communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.</li>
</ul></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Bigquery,Gcp,Python,Data Management</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Associate III - Data Engineer

Zinnia

<div><div><p><b>WHO WE ARE:
</b></p><p>Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value &ndash; and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.</p></div><p><b>
WHO YOU ARE:</b></p>
<p>
As a seasoned Data Engineer specializing in data engineering, you bring extensive expertise in optimizing data workflows using various database tools like Oracle, BigQuery, and SQL Server. You possess a deep understanding of ELT/ETL processes, data integration, and have a strong command of Python for data manipulation and automation tasks. You will possess advanced expertise in working with data platforms like Google Big Query, DBT, Python, and Airflow. Responsible for designing and maintaining scalable ETL pipelines, optimizing complex data systems, and ensuring smooth data flow across different platforms. As a Senior Data Engineer, you will also be required to work collaboratively in a team and contribute to building data infrastructure that drives business insights</p>
<p><b>
WHAT YOU'LL DO:</b></p>
<ul>
<li>Design, develop, and optimize complex ETL pipelines that integrate large data sets from various sources.</li>
<li>Build and maintain high-performance data models using Google BigQuery and DBT for data transformation.</li>
<li>Develop Python scripts for data ingestion, transformation, and automation.</li>
<li>Implement and manage data workflows using Apache Airflow for scheduling and orchestration.</li>
<li>Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, reliability, and performance.</li>
<li>Troubleshoot and optimize data systems, identifying issues and resolving them proactively.</li>
<li>Work on cloud-based platforms, particularly AWS, to leverage scalability and storage options for data pipelines.</li>
<li>Ensure data integrity, consistency, and security across systems.</li>
<li>Take ownership of end-to-end data engineering tasks while mentoring junior team members.</li>
<li>Continuously improve processes and technologies for more efficient data processing and delivery.</li>
<li>Act as a key contributor to developing and supporting complex data architectures.</li>
</ul>
<p><b>WHAT YOU'LL NEED:</b></p>
<ul>
<li>Bachelor's degree in computer science, Information Technology, or a related field.</li>
<li><b>4+ years of hands-on experience in Data Engineering or related fields, with a strong background in building and optimizing data pipelines</b><b>
</b></li><li><b>Strong proficiency in Google Big Query, including designing and optimizing queries or other equivalent Datawarehouse (Snowflake).</b></li>
<li><b>Knowledge of dbt for data transformation and model management.</b><b>
</b></li><li><b>Proficiency in Python for data engineering tasks, including scripting, data manipulation, and automation.</b></li>
<li><b>Solid experience with Apache Airflow for workflow orchestration and task automation.</b></li>
<li><b>Extensive experience in building and maintaining ETL pipelines.</b></li>
<li><b>Familiarity with cloud platforms, particularly AWS (Amazon Web Services), including tools like S3, Lambda, Redshift, or Glue.</b></li>
<li>Excellent problem-solving and troubleshooting abilities.</li>
<li>Strong communication and collaboration skills with the ability to work effectively in a team environment.</li>
<li>Self-motivated, detail-oriented, and able to work with minimal supervision.</li>
<li>Ability to manage multiple priorities and deadlines in a fast-paced environment.</li>
<li>Experience with other cloud platforms (e.g., AWS, Azure) is a plus.</li>
<li>Knowledge of data warehousing best practices and architecture.</li>
</ul>
<p><b>WHAT'S IN IT FOR YOU?</b></p>
<p>
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.</p>
<p>
#LI-RS1</p>
<p>
#LI-SC</p></div><p></p>

Data Engineer III

McDonald's

<div>
 <p>
  <strong>
   About McDonald&rsquo;s:
  </strong>
 </p>
 <p>
  One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Summary:
  </strong>
 </p>
 <p>
  Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Brand Marketing / Menu function with a specific focus on the Menu Data product and initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted Menu data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance, customer preferences, and marketing effectiveness. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who we are looking for:
  </strong>
 </p>
 <p>
  <strong>
   Primary Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
  </li>
  <li>
   Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
  </li>
  <li>
   Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
  </li>
  <li>
   Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
  </li>
  <li>
   Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
  </li>
  <li>
   Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
  </li>
  <li>
   Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
  </li>
  <li>
   Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
  </li>
  <li>
   Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skill:
  </strong>
 </p>
 <ul>
  <li>
   Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem.
  </li>
  <li>
   Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
  </li>
  <li>
   5+ years of professional experience in data engineering or related fields
  </li>
  <li>
   Proficiency in Python, Java, or Scala for data processing and automation
  </li>
  <li>
   Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
  </li>
  <li>
   Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
  </li>
  <li>
   Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
  </li>
  <li>
   Proven ability to mentor team members and lead technical initiatives across multiple workstreams
  </li>
  <li>
   Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
  </li>
  <li>
   Demonstrated experience in data management &amp; data governance capabilities
  </li>
  <li>
   Familiarity with data warehousing principles and best practices.
  </li>
  <li>
   Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
  </li>
  <li>
   Excellent collaboration skills to work effectively in cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Work location:
  </strong>
  Hyderabad, India
 </p>
 <p>
  <strong>
   Work pattern:
  </strong>
  Full time role.
 </p>
 <p>
  <strong>
   Work mode:
  </strong>
  Hybrid.
 </p>
</div>


Data Engineer III [T500-20271]

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