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data scientist Jobs in Bangalore Jobs In Test Jobs In Mangaluru

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data engineer Jobs in Bangalore Jobs In Test Jobs In Mangaluru

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senior software engineer Jobs in Bangalore Jobs In Test Jobs In Mangaluru

senior software engineer

senior data scientist Jobs in Bangalore Jobs In Test Jobs In Mangaluru

senior data scientist

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>


Senior Data Engineer

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

FirstPoint Global Solutions

<p>We are seeking an experienced and highly skilled <b>Senior Data Engineer</b> to join our team in an <b>on-site role</b>. This position is ideal for a technically strong professional who excels at building scalable data systems, optimizing data pipelines, and ensuring data quality and performance across the organization.</p><p>You will play a critical role in shaping our data infrastructure and supporting data-driven decision-making.</p><p>Key Responsibilities</p><p>In this role, you will be responsible for:</p><ul><li>Designing, building, and maintaining scalable and reliable data pipelines</li><li>Developing and managing data warehouses, data lakes, and ETL/ELT workflows</li><li>Ensuring data quality, integrity, availability, and security</li><li>Optimizing data performance, scalability, and cost efficiency</li><li>Collaborating with data scientists, analysts, and engineering teams</li><li>Supporting analytics, reporting, and machine learning initiatives</li><li>Implementing best practices for data modeling, governance, and documentation</li><li>Monitoring data workflows and troubleshooting performance issues</li><li>Managing data integrations from multiple internal and external sources</li><li>Contributing to data architecture decisions and long-term strategy</li><li>Mentoring junior data engineers and providing technical guidance</li></ul><p>Required Skills &amp; Experience</p><p>To be successful in this role, you must have:</p><ul><li>Proven experience as a <b>Senior Data Engineer</b> or in a similar role</li><li>Strong proficiency in <b>SQL</b> and advanced data modeling techniques</li><li>Hands-on experience with data warehouses and big data technologies</li><li>Experience designing and optimizing <b>ETL/ELT pipelines</b></li><li>Strong programming skills in <b>Python, Java, or Scala</b></li><li>Experience with cloud platforms such as <b>AWS, Azure, or GCP</b></li><li>Solid understanding of data architecture, performance tuning, and scalability</li><li>Experience working with large, complex datasets in production environments</li><li>Strong analytical and problem-solving skills</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with tools such as <b>Airflow, dbt, Spark, Kafka, Snowflake, or Databricks</b></li><li>Knowledge of data governance, security, and compliance standards</li><li>Experience with CI/CD pipelines for data workflows</li><li>Familiarity with BI tools or machine learning pipelines</li></ul><p>What We&rsquo;re Looking For</p><p>You are:</p><ul><li>Comfortable working in an <b>on-site, collaborative environment</b></li><li>Detail-oriented with a strong focus on data accuracy and reliability</li><li>Strategic in approach while remaining hands-on</li><li>Able to take ownership of complex data initiatives</li><li>A collaborative team player and technical mentor</li><li>Adaptable in a fast-paced and evolving data environment</li></ul><p>What We Offer</p><ul><li>Full-time <b>on-site position</b></li><li>Competitive salary based on experience</li><li>Comprehensive benefits package</li><li>Opportunity to work on large-scale, enterprise data platforms</li><li>Supportive and collaborative work culture</li><li>Career growth and leadership opportunities</li></ul><p>Apply Today</p><p>If you have strong experience in <b>data engineering</b> and are passionate about building scalable data systems, we encourage you to apply.</p><p>Please include details of your <b>relevant experience, key projects, or technical expertise</b> with your application.</p><p>Job Type: Full-time</p><p>Pay: ₹80,000.00 - ₹110,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

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>

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>

Eptura

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><b><br>
Shape the Future of Work with Eptura</b></div><div></div><div><br>
At Eptura, we're not just another tech company&mdash;we're a global leader transforming the way people, workplaces, and assets connect. Our innovative worktech solutions empower 25 million users across 115 countries to thrive in a digitally connected world. Trusted by 45% of Fortune 500 companies, we're redefining workplace innovation and driving success for organizations around the globe.<br>
<br>
<b>Job Description</b><br>
<br>
We&rsquo;re excited to announce an opportunity to join our dynamic team as a<b> Senior Data Engineer</b>! If you&rsquo;re passionate about building scalable data solutions, working with cutting-edge technologies, and enabling data-driven decision-making, this role is for you. You&rsquo;ll play a key part in designing and maintaining robust data pipelines and models that power our analytics and insights. This is your chance to work on impactful projects in a collaborative environment where innovation and problem-solving are at the heart of what we do.</div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><br>
<ul>
<li>
Collaborate with stakeholders to understand data requirements and design, develop, and maintain complex ETL processes.</li>
<li>Implement at least two end-to-end Data Warehouse projects.</li>
<li>Create data integration and data diagram documentation.</li>
<li>Design and maintain data models, including schema design and optimization.</li>
<li>Build and manage automated data pipelines ensuring data quality and consistency.</li>
<li>Work on Data Warehouse platforms, including data mapping, ETL, data load, and transformation.</li>
<li>Apply strong Data Warehousing and Dimensional Data Modeling skills.</li>
<li>Utilize Python/Scala and Spark (including PySpark) for big data processing.</li>
<li>Work with SQL for data querying and manipulation.</li>
<li>Leverage Azure technologies such as Synapse, Data Factory, Blob Storage, and ADLS (nice to have).</li>
<li>Use Azure DevOps for CI/CD or equivalent tools (nice to have).</li>
<li>Work with Databricks and/or Snowflake.</li></ul><br>
<h3 class="jobSectionHeader"><b>
About You</b></h3><br>
<ul>
<li>
Degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience).</li>
<li>4+ years of experience as a Data Engineer.</li>
<li>Hands-on experience with Azure Cloud platform and ETL processes using Azure Data Factory.</li>
<li>Proficiency in Python, PySpark, and SQL.</li>
<li>Experience with big data processing and analytics using Azure Databricks.</li>
<li>Strong problem-solving and troubleshooting skills.</li>
<li>Excellent communication skills for working with cross-functional teams.</li>
<li>Familiarity with BI tools such as Power BI, Tableau, Looker, or IBM Cognos.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3><br>
<ul>
<li>
Health insurance fully paid&ndash;Spouse, children, and Parents</li>
<li>Accident insurance fully paid</li>
<li>Flexible working allowance</li>
<li>25 days holidays</li>
<li>7 paid sick days</li>
<li>14 public holidays</li>
<li>Employee Assistance Program</li></ul><div><br>
</div><div><b>
Eptura Information</b></div><ul>
<li>Follow us on Twitter | LinkedIn | Facebook | YouTube</li>
<li>Eptura is an Equal Opportunity Employer. At Eptura we promote our flexible workspace environment, free from discrimination. We believe that diversity of experience, perspective, and background leads to a better environment for all our people and a better product for our customers. Everyone is welcome at Eptura, no matter where you are from, and the more diverse we are, the more unified we will be in ensuring respectful connections all around the world.</li>
</ul><div>#LI-PG1 #LI-Hybrid</div><div></div><h3 class="jobSectionHeader"><b><br>
About Eptura</b></h3><div>
Ready to make a difference? Explore opportunities with Eptura and join us on this incredible journey.<br>
<br>
Joining Eptura means becoming part of a forward-thinking, dynamic team that's on a mission to shape a better, more connected future. We're seeking passionate, driven individuals who want to make a real impact and be at the forefront of workplace innovation.</div><div></div><div><br>
At Eptura, diversity and inclusion are at the heart of what we do. We believe that embracing unique perspectives and backgrounds leads to stronger teams and better solutions for our customers. We are committed to creating a flexible, inclusive environment where everyone is welcome and empowered to succeed.</div></div>

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