data engineer

senior data engineer

data analyst

data scientist

ai engineer

big data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Title: Big Data Engineer</b><br>
<b>Expericence - 5 to 8 Years - </b><b>CV with relevant skills will be contacted.</b></h2><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p>
The Big Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and distributed data processing systems. This role enables efficient data ingestion, transformation, and analytics across batch and real-time environments, supporting enterprise-wide data initiatives.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, develop, and maintain scalable <b>batch and real-time data pipelines</b> to support analytics and business intelligence use cases</li><li>
Build and manage distributed data processing solutions using <b>Apache Hadoop</b> and <b>Apache Spark</b> within <b>Cloudera Data Platform (CDP)</b></li><li>
Develop and orchestrate <b>ETL workflows</b> using tools such as <b>Apache NiFi</b></li><li>
Implement and manage <b>real-time streaming pipelines</b> using <b>Apache Kafka</b></li><li>
Work with distributed storage systems such as <b>Hadoop Distributed File System (HDFS)</b></li><li>
Utilize query engines like <b>Apache Hive</b> and <b>Apache Impala</b> for data access and analytics</li><li>
Perform <b>data ingestion, transformation, and integration</b> from multiple structured and unstructured enterprise data sources</li><li>
Optimize data pipelines for <b>performance, scalability, and reliability</b></li><li>
Monitor and troubleshoot data workflows, ensuring high availability and data integrity</li><li>
Collaborate closely with <b>data architects, analysts, and business stakeholders</b> to deliver data solutions aligned with business needs</li><li>
Ensure adherence to <b>data governance, security, and data quality standards</b></li><li>
Document data processes, architectures, and workflows for operational efficiency</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li><b>
5&ndash;8 years</b> of experience in Big Data Engineering or related roles</li><li>
Strong hands-on experience with:<ul><li>
Apache Hadoop ecosystem</li><li>
Apache Spark (PySpark/Scala preferred)</li><li>
Apache Kafka (streaming)</li><li>
Apache NiFi (data ingestion/ETL)</li></ul></li><li>
Experience with <b>Cloudera Data Platform (CDP)</b> or similar big data platforms</li><li>
Proficiency in <b>SQL</b> and at least one programming language (Python, Scala, or Java)</li><li>
Solid understanding of <b>distributed computing and parallel processing concepts</b></li><li>
Experience working with <b>HDFS, Hive, and Impala</b></li><li>
Knowledge of <b>data modeling, ETL design, and data warehousing concepts</b></li><li>
Familiarity with <b>data governance, security, and compliance frameworks</b></li><li>
Strong problem-solving and performance tuning skills</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with <b>cloud platforms</b> (AWS, Azure, or GCP) in big data environments</li><li>
Knowledge of <b>containerization (Docker/Kubernetes)</b> is a plus</li><li>
Exposure to <b>CI/CD pipelines</b> for data engineering workflows</li><li>
Understanding of <b>real-time analytics and event-driven architectures</b></li></ul><p></p><h3 class="jobSectionHeader"><b>
Key Competencies</b></h3><ul><li>
Analytical thinking and problem-solving</li><li>
Strong collaboration and communication skills</li><li>
Ability to work in fast-paced, data-driven environments</li><li>
Attention to detail and commitment to data quality</li></ul><p></p><h3 class="jobSectionHeader"><b>
Education</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Information Technology, Data Engineering</b>, or a related field</li></ul><p>
</p><p>x05bomsehO</p></div>

Big Data Engineer

Datamatics Technologies

<div>
 <strong>
  Job Title: Big Data Engineer
  <br/>
  Expericence - 5 to 8 Years -
 </strong>
 <u>
  <strong>
   CV with relevant skills will be contacted.
  </strong>
 </u>
 <strong>
  Role Purpose
 </strong>
 <p>
  The Big Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and distributed data processing systems. This role enables efficient data ingestion, transformation, and analytics across batch and real-time environments, supporting enterprise-wide data initiatives.
 </p>
 <strong>
  Key Responsibilities
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable
   <strong>
    batch and real-time data pipelines
   </strong>
   to support analytics and business intelligence use cases
  </li>
  <li>
   Build and manage distributed data processing solutions using
   <strong>
    Apache Hadoop
   </strong>
   and
   <strong>
    Apache Spark
   </strong>
   within
   <strong>
    Cloudera Data Platform (CDP)
   </strong>
  </li>
  <li>
   Develop and orchestrate
   <strong>
    ETL workflows
   </strong>
   using tools such as
   <strong>
    Apache NiFi
   </strong>
  </li>
  <li>
   Implement and manage
   <strong>
    real-time streaming pipelines
   </strong>
   using
   <strong>
    Apache Kafka
   </strong>
  </li>
  <li>
   Work with distributed storage systems such as
   <strong>
    Hadoop Distributed File System (HDFS)
   </strong>
  </li>
  <li>
   Utilize query engines like
   <strong>
    Apache Hive
   </strong>
   and
   <strong>
    Apache Impala
   </strong>
   for data access and analytics
  </li>
  <li>
   Perform
   <strong>
    data ingestion, transformation, and integration
   </strong>
   from multiple structured and unstructured enterprise data sources
  </li>
  <li>
   Optimize data pipelines for
   <strong>
    performance, scalability, and reliability
   </strong>
  </li>
  <li>
   Monitor and troubleshoot data workflows, ensuring high availability and data integrity
  </li>
  <li>
   Collaborate closely with
   <strong>
    data architects, analysts, and business stakeholders
   </strong>
   to deliver data solutions aligned with business needs
  </li>
  <li>
   Ensure adherence to
   <strong>
    data governance, security, and data quality standards
   </strong>
  </li>
  <li>
   Document data processes, architectures, and workflows for operational efficiency
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience
 </strong>
 <ul>
  <li>
   <strong>
    5&ndash;8 years
   </strong>
   of experience in Big Data Engineering or related roles
  </li>
  <li>
   Strong hands-on experience with:
   <ul>
    <li>
     Apache Hadoop ecosystem
    </li>
    <li>
     Apache Spark (PySpark/Scala preferred)
    </li>
    <li>
     Apache Kafka (streaming)
    </li>
    <li>
     Apache NiFi (data ingestion/ETL)
    </li>
   </ul>
  </li>
  <li>
   Experience with
   <strong>
    Cloudera Data Platform (CDP)
   </strong>
   or similar big data platforms
  </li>
  <li>
   Proficiency in
   <strong>
    SQL
   </strong>
   and at least one programming language (Python, Scala, or Java)
  </li>
  <li>
   Solid understanding of
   <strong>
    distributed computing and parallel processing concepts
   </strong>
  </li>
  <li>
   Experience working with
   <strong>
    HDFS, Hive, and Impala
   </strong>
  </li>
  <li>
   Knowledge of
   <strong>
    data modeling, ETL design, and data warehousing concepts
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    data governance, security, and compliance frameworks
   </strong>
  </li>
  <li>
   Strong problem-solving and performance tuning skills
  </li>
 </ul>
 <strong>
  Preferred Qualifications
 </strong>
 <ul>
  <li>
   Experience with
   <strong>
    cloud platforms
   </strong>
   (AWS, Azure, or GCP) in big data environments
  </li>
  <li>
   Knowledge of
   <strong>
    containerization (Docker/Kubernetes)
   </strong>
   is a plus
  </li>
  <li>
   Exposure to
   <strong>
    CI/CD pipelines
   </strong>
   for data engineering workflows
  </li>
  <li>
   Understanding of
   <strong>
    real-time analytics and event-driven architectures
   </strong>
  </li>
 </ul>
 <strong>
  Key Competencies
 </strong>
 <ul>
  <li>
   Analytical thinking and problem-solving
  </li>
  <li>
   Strong collaboration and communication skills
  </li>
  <li>
   Ability to work in fast-paced, data-driven environments
  </li>
  <li>
   Attention to detail and commitment to data quality
  </li>
 </ul>
 <strong>
  Education
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in
   <strong>
    Computer Science, Information Technology, Data Engineering
   </strong>
   , or a related field
  </li>
 </ul>
</div>


<div><h2 class="jobSectionHeader"><b>Job Title: Big Data Engineer</b><br>
<b>Expericence - 5 to 8 Years - </b><b>CV with relevant skills will be contacted.</b></h2><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p>
The Big Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and distributed data processing systems. This role enables efficient data ingestion, transformation, and analytics across batch and real-time environments, supporting enterprise-wide data initiatives.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, develop, and maintain scalable <b>batch and real-time data pipelines</b> to support analytics and business intelligence use cases</li><li>
Build and manage distributed data processing solutions using <b>Apache Hadoop</b> and <b>Apache Spark</b> within <b>Cloudera Data Platform (CDP)</b></li><li>
Develop and orchestrate <b>ETL workflows</b> using tools such as <b>Apache NiFi</b></li><li>
Implement and manage <b>real-time streaming pipelines</b> using <b>Apache Kafka</b></li><li>
Work with distributed storage systems such as <b>Hadoop Distributed File System (HDFS)</b></li><li>
Utilize query engines like <b>Apache Hive</b> and <b>Apache Impala</b> for data access and analytics</li><li>
Perform <b>data ingestion, transformation, and integration</b> from multiple structured and unstructured enterprise data sources</li><li>
Optimize data pipelines for <b>performance, scalability, and reliability</b></li><li>
Monitor and troubleshoot data workflows, ensuring high availability and data integrity</li><li>
Collaborate closely with <b>data architects, analysts, and business stakeholders</b> to deliver data solutions aligned with business needs</li><li>
Ensure adherence to <b>data governance, security, and data quality standards</b></li><li>
Document data processes, architectures, and workflows for operational efficiency</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li><b>
5&ndash;8 years</b> of experience in Big Data Engineering or related roles</li><li>
Strong hands-on experience with:<ul><li>
Apache Hadoop ecosystem</li><li>
Apache Spark (PySpark/Scala preferred)</li><li>
Apache Kafka (streaming)</li><li>
Apache NiFi (data ingestion/ETL)</li></ul></li><li>
Experience with <b>Cloudera Data Platform (CDP)</b> or similar big data platforms</li><li>
Proficiency in <b>SQL</b> and at least one programming language (Python, Scala, or Java)</li><li>
Solid understanding of <b>distributed computing and parallel processing concepts</b></li><li>
Experience working with <b>HDFS, Hive, and Impala</b></li><li>
Knowledge of <b>data modeling, ETL design, and data warehousing concepts</b></li><li>
Familiarity with <b>data governance, security, and compliance frameworks</b></li><li>
Strong problem-solving and performance tuning skills</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with <b>cloud platforms</b> (AWS, Azure, or GCP) in big data environments</li><li>
Knowledge of <b>containerization (Docker/Kubernetes)</b> is a plus</li><li>
Exposure to <b>CI/CD pipelines</b> for data engineering workflows</li><li>
Understanding of <b>real-time analytics and event-driven architectures</b></li></ul><p></p><h3 class="jobSectionHeader"><b>
Key Competencies</b></h3><ul><li>
Analytical thinking and problem-solving</li><li>
Strong collaboration and communication skills</li><li>
Ability to work in fast-paced, data-driven environments</li><li>
Attention to detail and commitment to data quality</li></ul><p></p><h3 class="jobSectionHeader"><b>
Education</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Information Technology, Data Engineering</b>, or a related field</li></ul><p>
</p><p>YJqnHxfFvr</p></div>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

H2o Labs

<p><b>Location:</b> Onsite<br/><b>Shift:</b> Night Shift<br/><b>Job Type:</b> Full-Time</p><p><b>Job Overview:</b></p><p>We are looking for a skilled and detail-oriented <b>Data Engineer</b> with 2&ndash;4 years of hands-on experience to join our growing team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and architectures to support data-driven decision-making across the organization.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and maintain scalable <b>ETL/ELT pipelines</b></li><li>Build and manage <b>data warehouses</b> and data lakes</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize and automate data workflows for performance and scalability</li><li>Collaborate with data analysts, scientists, and business stakeholders</li><li>Work with large datasets and ensure efficient data processing</li><li>Monitor and troubleshoot data-related issues</li><li>Implement data security and governance best practices</li><li>Communicate effectively with cross-functional teams and stakeholders</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>2&ndash;4 years of experience as a <b>Data Engineer</b> or similar role</li><li>Strong proficiency in <b>SQL</b> and database design</li><li>Hands-on experience with <b>Python</b> (or similar programming language)</li><li>Experience with <b>ETL tools</b> (e.g., Airflow, Talend, Informatica)</li><li>Familiarity with <b>cloud platforms</b> (AWS, GCP, or Azure)</li><li>Experience with <b>big data tools</b> (e.g., Hadoop, Spark)</li><li>Understanding of data warehousing concepts</li><li><b>Excellent communication and interpersonal skills</b></li><li>Strong problem-solving and analytical skills</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with <b>real-time data processing</b></li><li>Knowledge of <b>Docker/Kubernetes</b></li><li>Familiarity with <b>CI/CD pipelines</b></li><li>Experience working in agile environments</li></ul><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs220,000.00 per month</p><p>Work Location: In person</p>

Data Engineer

HR Konnect Consultants

<p>About Softarix</p><p>Softarix is a leader in amplifying organizations&rsquo; cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, Softarix has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.</p><p>Softarix is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, Softarix provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.</p><p>Job Summary</p><p>We are looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts. The hire will be primarily responsible for AI/ML projects on AWS, leveraging native services as well as custom-built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers&rsquo; databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms.</p><p>The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers&rsquo; data architecture to support our next generation of products and data initiatives, and machine learning systems.</p><p>Responsibilities</p><p>Keep our customers&rsquo; data separated and secure to meet compliance and regulations requirements.</p><p>Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud (mainly AWS) migration and &lsquo;big data&rsquo; technologies.</p><p>Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.</p><p>Design, Build and Operate large, complex data lakes that meet functional / non-functional business requirements.</p><p>Optimize various data types ingestion, storage, processing, and retrieval from near real-time events and IoT to unstructured data as images, audio, video and documents, and in between.</p><p>Use Jupyter Notebooks to build and deploy ML models.</p><p>Leverage AWS AI/ML pre built solutions to accelerate work for customers</p><p>Work with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, to assist with data-related technical issues and support their data infrastructure and business needs.</p><p>Requirements</p><p>Summary of Key Requirements</p><p>We seek a candidate with 3+ years of experience in a Data Scientist/Machine Learning Engineer role who has attained a Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:</p><p>Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis etc.</p><p>Experience with relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra.</p><p>Experience with AWS cloud services: EC2, RDS, EMR, Redshift etc.</p><p>Experience with functional and scripting languages: Python, Java, Scala, etc.</p><p>Experience with various ML models for classification, scoring and more.</p><p>Experience with Deep Learning Neural Networks (Convolution, NLP etc.)</p><p>Experience with AWS AI/ML Services</p><p>Experience with Python coding</p><p>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</p><p>Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.</p><p>Strong analytic skills related to working with unstructured datasets.</p><p>Build processes supporting data transformation, data structures, metadata, dependency and workload management.</p><p>Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.</p><p>Experience supporting and working with external customers in a dynamic environment.</p><p>Excellent Communication Skills are Required.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Machine Learning/ DataEnineer ( AIML )

Soothsayer Analytics

<div><div><div><p>Company : <b>Soothsayer Analytics</b></p>
<p>Working Hours : <b>Full Time</b></p>
<p>Locations : <b>Hyderabad</b></p>
<p>Experience : <b>4&ndash;6 Years</b></p><p><br>
</p></div>
</div><b>About the Role:
</b><div><div><p>Soothsayer Analytics is a global AI &amp; Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning &amp; GenAI solutions&mdash;spanning predictive analytics, optimization, NLP, and enterprise-scale AI platforms&mdash;that help leading enterprises forecast, automate, and gain a competitive edge.
</p><p>As a Data Engineer, you will build the foundation that powers these AI systems&mdash;scalable, secure, and high-performance data pipelines.
</p><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
<p>We seek a Data Engineer (Mid-level) with 4&ndash;6 years of hands-on experience in designing, building, and optimizing data pipelines. You will work closely with AI/ML teams to ensure data availability, quality, and performance for analytics and GenAI use cases.
</p><h5 class="jobSectionHeader"><b>Key Responsibilities</b></h5>
<p><b>1. Data Pipeline Development</b></p>
<ul><li>Build and maintain scalable ETL/ELT pipelines for structured and unstructured data.</li>
<li>Ingest data from diverse sources such as APIs, streaming, and batch systems.</li>
</ul><p><b>2. Data Modeling &amp; Warehousing</b></p>
<ul><li>Design efficient data models to support analytics and AI workloads.</li>
<li>Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake.</li>
</ul><p><b>3. Big Data &amp; Streaming</b></p>
<ul><li>Work with distributed systems like Apache Spark, Kafka, or Flink for real-time and large-scale data processing.</li>
<li>Manage feature stores for machine learning pipelines.</li>
</ul><p><b>4. Collaboration &amp; Best Practices</b></p>
<ul><li>Work closely with Data Scientists and ML Engineers to ensure high-quality training data.</li>
<li>Implement data quality checks, observability, and governance frameworks.</li>
</ul><h5 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h5>
<ul><li><b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li>
<li><b>Experience:</b> 4&ndash;6 years in data engineering with expertise in:</li>
</ul><ul><li><b>Programming:</b> Python, Scala, or Java (Python preferred)</li>
<li><b>Big Data &amp; Processing:</b> Apache Spark, Kafka, Hadoop</li>
<li><b>Databases:</b> SQL and NoSQL (Postgres, MongoDB, Cassandra)</li>
<li><b>Data Warehousing:</b> Snowflake, Redshift, BigQuery, or similar</li>
<li><b>Orchestration:</b> Airflow, Luigi, or similar</li>
<li><b>Cloud Platforms:</b> AWS, Azure, or GCP (data services)</li>
<li><b>Version Control &amp; CI/CD:</b> Git, Jenkins, GitHub Actions</li>
<li><b>MLOps / GenAI Pipelines:</b> Feature engineering, embeddings, vector databases</li>
</ul><h5 class="jobSectionHeader"><b>Skills Matrix</b></h5>
<div><div><div><div><div><b>Skill</b></div> <div><b>Details</b></div> <div><b>Last Used</b></div> <div><b>Experience (Months)</b></div> <div><b>Self-Rating (0&ndash;10)</b></div>
</div><br>
</div><div><div><div>Python</div>
</div><br>
<div></div><div><div>SQL / NoSQL</div>
</div><br>
<div></div><div><div>Apache Spark</div>
</div><br>
<div></div><div><div>Kafka</div>
</div><br>
<div></div><div><div>Data Warehousing (Snowflake, Redshift, etc.)</div>
</div><br>
<div></div><div><div>Orchestration (Airflow, Luigi, etc.)</div>
</div><br>
<div></div><div><div>Cloud (AWS / Azure / GCP)</div>
</div><br>
<div></div><div><div>Data Quality / Governance Tools</div>
</div><br>
<div></div><div><div>MLOps / LLMOps</div>
</div><br>
<div></div><div><div>GenAI Integration</div>
</div><br>
</div></div></div><div></div><h5 class="jobSectionHeader"><b>Instructions for Candidates</b></h5>
<ul><li>Provide a detailed resume highlighting end-to-end data engineering projects.</li>
<li>Fill out the above skills matrix with accurate dates, duration, and self-ratings.</li></ul></div></div></div>

Explore 2968+ Big data engineer in Pakistan this May. Find roles across top companies and apply now to boost your career.

2968 big data engineer jobs In Pakistan

Big Data Engineer

Big Data Engineer

Big Data Engineer

Azure Data Engineer

Data Engineer

Machine Learning/ DataEnineer ( AIML )

Data Engineer