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senior data engineer

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Senior Data Engineer<p></p>
&#61558; Job Overview<br>
&#61656; The Senior Software Engineer will do the design, development, and delivery of advanced big data solutions within the Hadoop ecosystem.
&#61656; <br>
This role involves architecting and implementing scalable data processing frameworks, ensuring high performance and reliability across distributed systems.
&#61656; <br>
The engineer will research and evaluate emerging technologies to optimize data workflows and meet evolving business needs.
&#61656; <br>
Additionally, the position requires hands-on expertise in Cloudera distribution and related tools, ensuring seamless orchestration and integration of data pipelines.
&#61656; <br>
The Senior Software Engineer will also be responsible for maintaining operational excellence, meeting SLA requirements, and mentoring team members to drive technical innovation and best practices.<br>
&#61558; Role<br>
&#61656; Contribute individually to the design, development, and implementation of large-scale data engineering solutions within the Hadoop ecosystem, ensuring high performance, scalability, and reliability.<br>
&#61656; Drive end-to-end technical delivery for projects involving Cloudera distribution, Apache Ozone, Apache Iceberg, Apache Airflow, Apache NiFi, and Apache Spark.<br>
&#61656; Collaborate with cross-functional teams to define architecture, technical standards, and best practices for big data platforms and workflows.<br>
&#61656; Perform rigorous performance benchmarking and optimization for newly developed distributed frameworks, ensuring efficient parallel processing and scalable storage solutions across large datasets.<br>
&#61656; Research and evaluate emerging technologies in distributed data storage, orchestration, and processing frameworks to optimize data pipelines and improve operational efficiency.<br>
&#61656; Develop strategic technical plans and create architecture proposals addressing solution gaps and business requirements.<br>
&#61656; Provide technical leadership in planning, design, and implementation phases, ensuring compliance with security, quality, and performance standards.<br>
&#61656; Ensure adherence to SLAs, manage production incidents, and drive root cause analysis and remediation for complex issues.<br>
&#61656; Conduct Proof of Concepts (PoCs) for new technologies and contribute to technology roadmaps for the organization.<br>
<br>
&#61558; Education<br>
<br>
&#61656; Bachelor's degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent experience.
&#61558; <br>
<br>
Knowledge / Experience:<br>
&#61656; 6+ years of experience in related field, including 4-5 years of experience in delivering secure solutions in Financial Services Sector is preferred.
&#61656; <br>
Advanced knowledge and understanding of Software Engineering Concepts and Methodologies is required.
&#61656; <br>
Demonstrate MC Core Competencies.
&#61558; <br>
<br>
About You<br>
&#61656; High-energy, detail-oriented, and proactive, with the ability to work independently under pressure while driving results with initiative and self-motivation.<br>
&#61656; Strong aptitude for quickly learning and implementing new big data technologies, frameworks, and tools, and performing Proof of Concepts (PoCs) to identify optimal solutions.<br>
&#61656; 6+ years of overall experience in software engineering with 5+ years of hands-on experience in Hadoop ecosystem projects, including Cloudera distribution.<br>
&#61656; Proven expertise in building distributed data pipelines and frameworks using Apache Spark (Scala/Python/Java) for massive parallel processing.<br>
&#61656; Hands-on experience with Apache Ozone and Apache Iceberg for distributed storage and table formats.<br>
&#61656; Skilled in designing and managing orchestration workflows using Apache Airflow and Apache NiFi for complex data integration scenarios.<br>
&#61656; Strong analytical and problem-solving skills for debugging production issues, performing root cause analysis, and implementing mitigation plans.<br>
&#61656; Excellent communication skills&mdash;both verbal and written&mdash;with strong collaboration and organizational abilities to work in diverse, geographically distributed teams.<br>
&#61656; Ability to multitask across multiple projects, provide technical leadership, and mentor junior team members.<br>
&#61656; Flexible and adaptable to evolving technologies and business needs, with a passion for innovation in big data solutions.<p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Senior Data Engineer

Fluent Health

<div>
 <p>
  <strong>
   About Us:
  </strong>
 </p>
 <p>
  Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family. The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy. To assist us in our growth journey, we are seeking a highly motivated and experienced
  <strong>
   Senior Data Engineer
  </strong>
  to play a pivotal role in future success.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Company Website- https://fluentinhealth.com/
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We&rsquo;re looking for a
  <strong>
   Senior Data Engineer
  </strong>
  to lead the design, implementation, and optimization of our analytical and real-time data platform. In this hybrid role, you&rsquo;ll combine hands-on data engineering with high-level architectural thinking to build scalable data infrastructure with ClickHouse as the cornerstone of our analytics and data warehousing strategy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll work closely with engineering, product, analytics, and compliance teams to establish data best practices, ensure data governance, and unlock insights for internal teams and future data monetization initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <strong>
   Architecture &amp; Strategy:
  </strong>
 </p>
 <ul>
  <li>
   Own and evolve the
   <strong>
    target data architecture
   </strong>
   , with a focus on
   <strong>
    ClickHouse
   </strong>
   for large-scale analytical and real-time querying workloads.
  </li>
  <li>
   Define and maintain a
   <strong>
    scalable and secure data platform architecture
   </strong>
   that supports various use cases including real-time analytics, reporting, and ML applications.
  </li>
  <li>
   Set
   <strong>
    data governance and modeling standards
   </strong>
   , and ensure data lineage, integrity, and security practices are followed.
  </li>
  <li>
   Evaluate and integrate complementary technologies into the data stack (e.g., message queues, data lakes, orchestration frameworks).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Engineering:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain robust
   <strong>
    ETL/ELT pipelines
   </strong>
   to ingest and transform data from diverse sources into our data warehouse.
  </li>
  <li>
   Optimize
   <strong>
    ClickHouse schema and query performance
   </strong>
   for real-time and historical analytics workloads.
  </li>
  <li>
   Build data APIs and interfaces for product and analytics teams to interact with the data platform.
  </li>
  <li>
   Implement monitoring and observability tools to ensure pipeline reliability and data quality.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration &amp; Leadership:
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with data consumers (e.g., product managers, data analysts, ML engineers) to understand data needs and translate them into scalable solutions.
  </li>
  <li>
   Work with security and compliance teams to implement
   <strong>
    data privacy, classification, retention, and access control policies
   </strong>
   .
  </li>
  <li>
   Mentor junior data engineers and contribute to hiring efforts as we scale the team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5-7 years
   </strong>
   of experience in
   <strong>
    Data Engineering
   </strong>
   , with at least
   <strong>
    2-4 years
   </strong>
   in a
   <strong>
    Senior or Architectural
   </strong>
   role.
  </li>
  <li>
   <strong>
    Expert-level proficiency
   </strong>
   in
   <strong>
    ClickHouse
   </strong>
   or similar columnar databases (e.g., BigQuery, Druid, Redshift).
  </li>
  <li>
   Proven experience designing and operating scalable
   <strong>
    data warehouse and data lake architectures
   </strong>
   .
  </li>
  <li>
   Deep understanding of
   <strong>
    data modeling
   </strong>
   ,
   <strong>
    partitioning
   </strong>
   ,
   <strong>
    indexing
   </strong>
   , and
   <strong>
    query optimization
   </strong>
   techniques.
  </li>
  <li>
   Strong experience building
   <strong>
    ETL/ELT pipelines
   </strong>
   using tools like Airflow, dbt, or custom frameworks.
  </li>
  <li>
   Familiarity with
   <strong>
    stream processing
   </strong>
   and
   <strong>
    event-driven architecture
   </strong>
   (e.g., Kafka, Pub/Sub).
  </li>
  <li>
   Proficiency with
   <strong>
    SQL
   </strong>
   and at least one programming language like
   <strong>
    Python
   </strong>
   ,
   <strong>
    Scala
   </strong>
   , or
   <strong>
    Java
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    data governance
   </strong>
   ,
   <strong>
    compliance frameworks
   </strong>
   (e.g., HIPAA, GDPR), and
   <strong>
    data cataloging
   </strong>
   tools.
  </li>
  <li>
   Knowledge of
   <strong>
    real-time analytics
   </strong>
   use cases and streaming architectures.
  </li>
  <li>
   Familiarity with
   <strong>
    machine learning pipelines
   </strong>
   and integrating data platforms with ML workflows.
  </li>
  <li>
   Experience working in regulated or high-security domains like
   <strong>
    Healthtech
   </strong>
   ,
   <strong>
    Fintech
   </strong>
   , or
   <strong>
    Enterprise SaaS.
   </strong>
  </li>
 </ul>
</div>


Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><b>Req # </b></div><div>WD00091292
</div></div><div><div><b>Career Area: </b></div><div>Data Management and Analytics
</div></div><div><div><b>Country/Region: </b></div><div>India
</div></div><div><div><b>State: </b></div><div>Karnataka
</div></div><div><div><b>City: </b></div><div>BANGALORE
</div></div><div><div><b>Date: </b></div><div>Monday, December 15, 2025
</div></div><div><div><b>Working Time: </b></div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>India - Karn&#257;taka - Bangalore
</li></ul><ul><li>India - Karn&#257;taka - BANGALORE
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit <b>www.lenovo.com</b>, and read about the latest news via our <b>StoryHub</b>.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p><b>Job Title:</b> Senior Data Engineer</p><p><b>
Department:</b> Lenovo Customer Experience</p><p><b>
Company Overview:</b> Lenovo is the fastest growing technology company on the planet, with growth outpacing our competition quarter after quarter and we&rsquo;re growing! Lenovo&rsquo;s fundamental belief is that life rewards those who Never Stand Still. Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way. We are looking for the person who challenges the ordinary and seeks to innovate in learning, while also balancing execution.</p><p><b>
Position Overview:</b> Lenovo&rsquo;s Customer Experience team is seeking a senior data engineer to join its Bangalore, India-based team. We&rsquo;re looking for a skilled and experienced self-starter to work in our CX department as a Data Engineer.</p><p><b>
Key Responsibilities:</b></p><ul><li>
As a <b>Senior Data Engineer</b>, you will be involved in data Lakehouse development including requirements gathering, database modeling, ETL job design &amp; development, and dashboard/report development activities.</li><li>
You will be working with the Customer Experience team to build and enhance a cloud-based warehouse of operational data to drive analytics.</li><li>
You will be responsible for developing ETL/data pipelines using Talend, SQL, and Python, and ingesting data from various external sources into large MPP data warehouses like Azure Synapse, Hive, Snowflake or similar.</li><li>
You will frequently conduct data analysis, ingest data from various external &amp; internal sources, write advanced database queries, and optimize data storage needed by business and/or executive operations.</li><li>
You will enable daily business activities by providing the foundation of all federated querying and analysis produced by the BI and Data Science teams.</li><li>
You will have the opportunity to work with modern data stack components and continuously grow by learning new tools and technologies in a collaborative, data-driven environment.</li></ul><p><b>
Position Requirements</b></p><p><b>
Basic Qualifications:</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Mathematics, or Science.</li><li>Minimum 5 years of experience in ETL development and coding, including validation of complex data mappings.</li><li>Hands-on experience with ETL Tool Talend (minimum 5 years).</li><li>Proficient in SQL with at least 8 years of experience in developing complex SQL queries for data validation.</li><li>Experience in Python for data processing and transformation tasks.</li><li>Strong experience with data warehouse databases such as Azure Synapse, Hive, Snowflake, SQL Server, or Redshift.</li><li>Experience and knowledge in ingesting data from various external sources is a must have.</li><li>Excellent oral and written communication skills.</li><li>Experience working with cloud-based data platforms.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>Exposure to Databricks for big data processing and orchestration.</li><li>Experience with BI tools like Tableau or Power BI.</li><li>Familiarity with Agile Scrum development methodologies.</li><li>Experience working in or exposure to Data science / Machine learning / Gen AI based projects</li></ul>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>India - Karn&#257;taka - Bangalore
</li></ul><ul><li>India - Karn&#257;taka - BANGALORE<br>
</li></ul></div></div><div></div><div><div><div><br>
<div><b>NOTICE FOR PUBLIC</b></div><div></div><div><br>
At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative.</div><div>
</div><div>
Please beware of fraudulent recruiters posing as Lenovo representatives. They may request cash deposits or personal information. Always apply through official Lenovo channels and never share sensitive information. Lenovo does not solicit money or sensitive information from applicants and will not request payments for training or equipment.</div><div>
</div><div>
Kindly verify job offers through the official <b>Lenovo careers page</b> or contact IndiaTA@lenovo.com. Stay informed and cautious to protect yourself from recruitment fraud. Report any suspicious activity to local authorities.</div></div></div></div></div></div></div></div>

Senior Data engineer

TECHBLOCKS

<div><div><b>Role: Senior Data Engineer
</b></div><div><b>Location: New York, NY</b></div><div></div><div><b><br>
Responsibilities
</b></div><ul><li>Use the latest technology to build data pipelines and integrate machine learning models
</li><li>Build and expand our data platform
</li><li>Develop applications that run on a Google Cloud-based infrastructure<br>
</li></ul><div></div><br>
<div><b>Qualifications
</b></div><ul><li>6+ years of experience in Big Data and Data Engineering.
</li><li>Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery.
</li><li>Have strong programming skills in SQL, Python/PySpark, etc.
</li><li>Experience in the design and development of data pipelines, ETL/ELT processes.
</li><li>Experience in one of the public cloud providers &ndash; GCP, Azure, AWS.
</li><li>Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
</li><li>Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
</li><li>Comfortable using Azure DevOps or similar CI/CD tools, Git
</li><li>Building Docker images and deploying them to Production. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform.
</li><li>Strong problem-solving and communication skills.</li><li>Bachelor's or an advanced degree in Computer Science or a related engineering discipline.
</li><li>Optionally have experience with C#, .NET core, and microservices</li></ul></div>

Analytix Solutions

<p><b>Designation:</b> Sr. Data Engineer (AS587)</p><p><b>Office Location:</b> Sun Westbank</p><p><b>Position description:</b> We are seeking an experienced and motivated Senior Data Engineer to join our AI &amp; Automation team. The ideal candidate will have 5&ndash;8 years of experience in data engineering, with a proven track record of designing and implementing scalable data solutions. A strong background in database technologies, data modelling, and data pipeline orchestration is essential. Additionally, hands-on experience with generative AI technologies and their applications in data workflows will set you apart. In this role, you will lead data engineering efforts to enhance automation, drive efficiency, and deliver data driven insights across the organization.</p><p><b>Primary Responsibilities:</b></p><ul><li><b>Design, build, and maintain scalable, high-performance data pipelines and ETL/ELT processes across diverse database platforms. </b> Architect and optimize data storage solutions to ensure reliability, security, and scalability. <b>Leverage generative AI tools and models to enhance data engineering workflows, drive automation, and improve insight generation. </b> Collaborate with cross-functional teams (Data Scientists, Analysts, and Engineers) to understand and deliver on data requirements. <b>Develop and enforce data quality standards, governance policies, and monitoring systems to ensure data integrity. </b> Create and maintain comprehensive documentation for data systems, workflows, and models. <b>Implement data modelling best practices and optimize data retrieval processes for better performance. </b> Stay up-to-date with emerging technologies and bring innovative solutions to the team.</li></ul><p><b>Required Knowledge:</b> &bull; Bachelor's or Master&rsquo;s degree in Computer Science, Information Technology, or a related field. &bull; 5&ndash;8 years of experience in data engineering, designing and managing large-scale data systems. &bull; Strong expertise in database technologies, including: o SQL Databases: PostgreSQL, MySQL, SQL Server o NoSQL Databases: MongoDB, Cassandra o Data Warehouse/ Unified Platforms: Snowflake, Redshift, BigQuery, Microsoft Fabric &bull; Hands-on experience implementing and working with generative AI tools and models in production workflows. &bull; Proficiency in Python and SQL, with experience in data processing frameworks (e.g., Pandas, PySpark). &bull; Experience with ETL tools (e.g., Apache Airflow, MS Fabric, Informatica, Talend) and data pipeline orchestration platforms. &bull; Strong understanding of data architecture, data modelling, and data governance principles. &bull; Experience with cloud platforms (preferably Azure) and associated data services.</p><p><b>Required Skills:</b> &bull; Advanced knowledge of Database Management Systems and ETL/ELT processes. &bull; Expertise in data modeling, data quality, and data governance. &bull; Proficiency in Python programming, version control systems (Git), and data pipeline orchestration tools. &bull; Familiarity with AI/ML technologies and their application in data engineering. &bull; Strong problem-solving and analytical skills, with the ability to troubleshoot complex data issues. &bull; Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. &bull; Ability to work independently, lead projects, and mentor junior team members. &bull; Commitment to staying current with emerging technologies, trends, and best practices in the data engineering domain</p><p>Job Type: Full-time</p><p>Pay: &#8377;399,549.86 - &#8377;1,710,866.51 per year</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Food provided</li><li>Health insurance</li><li>Internet reimbursement</li><li>Leave encashment</li><li>Life insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: In person</p>

Brookdale Senior Living

<div><div><div>Department</div><div>
Technology | Engineering</div></div><div><div>
Job posted on</div><div>
Dec 10, 2025</div></div><div><div>
Employment type</div><div>
Permanent</div></div></div>
<br><div><p><b>About Emeritus</b></p>
<p>
Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 80 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.</p>
<p>
Emeritus&rsquo; short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 300,000 individuals across 80+ countries.</p>
<p>
Founded in 2015, Emeritus, part of Eruditus Group, has more than 1,800 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. The company is backed by prominent investors including Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.</p>
<p>
<b>Job Description</b></p>
<p><b>
Role Overview</b></p><div>
We are looking for a Senior Data Engineer (5&ndash;8 years of experience) to design, build, and optimize data platforms and streaming pipelines that power data products, analytics, and AI/ML initiatives at Emeritus. You will work closely with data scientists, ML engineers, product managers, and business stakeholders to build robust, scalable, and reliable data systems, including LLM-powered applications.</div><div><b>
Key Responsibilities</b></div><div></div><ul><li>Design, build, and maintain scalable data pipelines (batch and streaming) to support analytics, personalization, and AI/ML use cases.</li></ul><div></div><ul><li>Develop, deploy, and maintain microservices and data APIs using Python frameworks such as FastAPI or Flask.</li></ul><div></div><ul><li>Build and optimize distributed data processing jobs using technologies such as Apache Spark, Flink, or Beam (with a strong focus on streaming workloads).</li></ul><div></div><ul><li>Design and manage data models, warehouses, and data marts; write efficient SQL for analytics and production workloads.</li></ul><div></div><ul><li>Implement and maintain event-driven architectures using pub/sub or messaging systems.</li></ul><div></div><ul><li>Set up and maintain CI/CD pipelines for data and application deployments.</li><li>Containerize services using Docker and manage deployments on Kubernetes-based infrastructure.</li></ul><div></div><ul><li>Orchestrate complex data workflows using tools such as Apache Airflow or Argo Workflows.</li></ul><div></div><ul><li>Collaborate with ML and product teams to build and productionize LLM-powered applications (Agents, RAG-based systems, etc.).</li></ul><div></div><ul><li>Work with vector databases and retrieval systems for RAG and semantic search use cases.</li></ul><div></div><ul><li>Ensure data quality, reliability, observability, and documentation across all pipelines and services.</li></ul>
<p>
<i>Emeritus 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.</i></p></div><div></div>

Capco

<p></p><div><p><b>About Us</b></p>
<p><b>
&ldquo;Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar &amp; Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.</b></p>
<p><b>
WHY JOIN CAPCO?</b></p>
<p><b>
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.</b></p>
<p><b>
MAKE AN IMPACT</b></p>
<p><b>
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.</b></p>
<p><b>
#BEYOURSELFATWORK</b></p>
<p><b>
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.</b></p><br>
<p></p>
<p><b>
CAREER ADVANCEMENT</b></p>
<p><b>
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.</b></p>
<p><b>
DIVERSITY &amp; INCLUSION</b></p>
<p><b>
We believe that diversity of people and perspective gives us a competitive advantage.</b></p>
<p><b>
MAKE AN IMPACT</b></p>
<p><b>
Location:</b> Pune/Bangalore<br>
<b>Experience Range:</b> 5&ndash;9 years</p>
<p><b>
Role Overview:</b><br>
The Senior Data Engineer designs and develops complex data pipelines and contributes to end-to-end solution delivery across enterprise-scale Big Data environments. The role ensures data reliability, performance, and adherence to engineering best practices.</p>
<div><b>
Must-Have Skills:</b><br>
<ul><li>5&ndash;9 years in Data Engineering across Data Warehouse/Data Lake/Lakehouse environments</li><li>Strong Spark development (Scala/Python/Java) on Hadoop or object storage</li><li>Strong SQL capabilities (Oracle/Netezza/Hive or similar)</li><li>Experience delivering large-scale data pipelines</li><li>Agile/Scrum delivery experience</li></ul></div>
<div><b>
Optional Skills:</b><br>
<ul><li>Experience building NiFi pipelines</li><li>Strong debugging and RCA skills</li><li>Ability to work independently across multiple priorities</li><li>Strong communication and collaboration abilities</li></ul></div></div>

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Senior Data Engineer

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