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Quantum Integrators

<div>
 
 
 Role: Data Engineer
 
 
 
 
 Location: Pune/Nagpur
 
 
 
 
 Notice Period: Up to 30 days
 
 
 
 
 Shift Timing: UK Shift
 
 
 
 
 Job Description:
 
 
 
 As part of our expanding GenAI &amp; Data Engineering initiatives, we&rsquo;re looking for a Data Engineer to join our team in Pune and work on enterprise-scale GenAI projects, including clients in regulated industries (Pharma, Life Sciences, Banking).
 
 
 
 
 
 
 What you&rsquo;ll work on:
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases
 </li>
 <li>
 Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s)
 </li>
 <li>
 Enable high-quality, compliant data for analytics, ML, and GenAI workloads
 </li>
 <li>
 Collaborate closely with AI/ML and GenAI teams (RAG, embeddings, agents)
 </li>
 <li>
 Ensure data security, governance, and regulatory compliance in delivery
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in Data Engineering
 </li>
 <li>
 Strong hands-on skills in SQL and Python
 </li>
 <li>
 DevOps experience will be a huge plus
 </li>
 <li>
 Experience with cloud-based data platforms (AWS / Azure / GCP), Any cloud Architect certification will be preferred (even at Associate level but not practitioner)
 </li>
 <li>
 Understanding of data modeling, ETL/ELT, orchestration, and performance tuning
 </li>
 <li>
 Exposure to regulated environments (Pharma GxP, Life Sciences, BFSI, Healthcare) is a strong plus
 </li>
 <li>
 Good communication skills and ability to work in a global delivery model.
 </li>
 </ul>
 
 
</div>

Data Engineer

Infosys

<div><h2 class="jobSectionHeader">Job Description:</h2> 
<ul>
<li>We are seeking an experienced Data Engineer with strong expertise in Azure Data Services Big Data technologies and ETL ELT processes</li>
<li>The ideal candidate will have domain knowledge in CPG and Manufacturing sectors along with hands on experience in data governance data modeling and cloud based data engineering</li>
<li>This role involves building scalable data pipelines integrating industrial data platforms and enabling advanced analytics for smarter decision making</li></ul> 
<h2 class="jobSectionHeader">
Key Responsibilities:</h2> 
<ul>
<li>Design and develop data pipelines using Azure Data Factory Azure Databricks and Azure Data Lake Gen2</li>
<li>Implement ETL ELT processes data integration techniques and data governance standards</li>
<li>Work with Big Data technologies such as Apache Spark and PySpark for large scale data processing</li>
<li>Gather engineer and prepare data for analytics and business insights</li>
<li>Integrate systems and data across diverse environments ensuring seamless connectivity</li>
<li>Build solutions to extract and consolidate data from multiple sources sales inventory product customer databases</li>
<li>Collaborate with ML Engineers Data Scientists and business stakeholders to enable automation and advanced analytics</li>
<li>Contribute to coding standards and best practices for data engineering workloads</li>
<li>Support modernization initiatives aligned with Industry 4</li>
<li>0 and ISA 95 standards</li></ul> 
<h2 class="jobSectionHeader">
Technical Requirements:</h2> 
<ul>
<li>5 7 years of experience in data engineering and data governance within industrial domains CPG Manufacturing</li>
<li>Strong knowledge of Azure Data Services Azure Data Factory Azure Databricks Azure Data Lake Gen2</li>
<li>Expertise in ETL processes data integration tools and pipeline development</li>
<li>Proficiency in Python SQL and Apache Spark</li>
<li>Understanding of Industry 4</li>
<li>0 ISA 95 standards and maintenance strategies</li>
<li>Familiarity with AI ML concepts and ability to work with advanced analytics teams</li>
<li>Experience with DevOps CI CD for data pipeline automation</li></ul> 
<h2 class="jobSectionHeader">
Additional Responsibilities:</h2> 
<ul>
<li>Good to have</li>
<li>Exposure to data modeling data warehousing and cloud architecture</li>
<li>Knowledge of business intelligence tools and statistical programming</li>
<li>Ability to research and implement new tools for automation and optimization</li></ul> 
<h2 class="jobSectionHeader">
Preferred Skills:</h2>
Technology-&gt;Data Engineering-&gt;Databricks,Technology-&gt;Cloud Integration-&gt;Azure Data Factory (ADF),Technology-&gt;Cloud Platform-&gt;Azure Analytics Services-&gt;Azure Data Lake,Technology-&gt;Consulting - Data Governance-&gt;Data Governance,Technology-&gt;Database-&gt;Data Modeling,Technology-&gt;OpenSystem-&gt;Python - OpenSystem</div>

Yugn

About the role:We are seeking a talented Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), BigQuery, Python, and SQL, and will be responsible for designing and maintaining scalable data solutions that power business insights.Responsibility:Design, develop, and maintain robust data pipelines and ETL workflows.Manage large-scale datasets using GCP and BigQuery for optimal performance.Write clean, efficient Python and SQL code for data processing and transformation.Collaborate with data analysts, scientists, and business teams to ensure data quality and availability.Optimize workflows for scalability, cost-efficiency, and performance.Skills/Qualifications:3&ndash;4 years of professional experience as a Data Engineer.Hands-on expertise in GCP, BigQuery, Python, and SQL.Strong understanding of data warehousing concepts, ETL processes, and cloud architecture.Proficiency in data modeling, performance tuning, and query optimization.Familiarity with CI/CD pipelines, version control (Git), and workflow orchestration tools (e.g., Airflow).Excellent problem-solving skills, attention to detail, and ability to work in cross-functional teams.Strong communication and collaboration skills.Nice-to-Have:Experience with Apache Spark for distributed data processing.Knowledge of Kubernetes for container orchestration and deployment.Exposure to Machine Learning pipelines and integration with data workfloJob Types: Full-time, PermanentPay: ₹1,200,000.00 - ₹2,500,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Amgen

<div>
 
 Role Name:
 
 Data Engineer
 
 
 
 Department Name:
 
 XXX
 
 
 
 Role GCF:
 
 4
 
 
 
 Hiring Manager Name: Chunhai He
 
 
 
 
 About Amgen
 
 
 
 Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.
 
 
 
 About The Role
 
 
 
 Role Description:
 
 
 We seek a skilled Data Engineer to build and optimize our data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Your expertise will be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling.
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Building and optimizing data pipelines, data warehouses, and data lakes on the AWS and Databricks platforms.
 </li>
 <li>
 Managing and maintaining the AWS and Databricks environments.
 </li>
 <li>
 Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.
 </li>
 <li>
 Maintain system uptime and optimal performance
 </li>
 <li>
 Working closely with cross-functional teams to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Exploring and implementing new tools and technologies to enhance ETL platform performance.
 
 
 </li>
 </ul>
 Functional Skills:
 
 
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability to optimize query performance on big data platforms.
 </li>
 <li>
 Proficient in leveraging Python, PySpark, and Airflow to build scalable and efficient data ingestion, transformation, and loading processes.
 </li>
 <li>
 Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills.
 
 
 </li>
 </ul>
 
 Good-to-Have Skills:
 
 
 
 <ul>
 <li>
 Experienced with SQL/NOSQL database, vector database for large language models
 </li>
 <li>
 Experienced with data modeling and performance tuning for both OLAP and OLTP databases
 </li>
 <li>
 Experienced with Apache Spark, Apache Airflow
 </li>
 <li>
 Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
 </li>
 <li>
 Experienced with AWS, GCP or Azure cloud services
 
 
 </li>
 </ul>
 Education and Professional Certifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science and engineering preferred, other Engineering field is considered
 </li>
 <li>
 AWS Certified Data Engineer preferred
 </li>
 <li>
 Databricks Certificate preferred
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
 <li>
 Excellent analytical and troubleshooting skills.
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Ability to work effectively with global, virtual teams
 </li>
 <li>
 High degree of initiative and self-motivation.
 </li>
 <li>
 Ability to manage multiple priorities successfully.
 </li>
 <li>
 Team-oriented, with a focus on achieving team goals
 </li>
 <li>
 Strong presentation and public speaking skills.
 
 
 </li>
 </ul>
 EQUAL OPPORTUNITY STATEMENT
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
</div>

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are looking for Data Engineer with Power BI experience, Good hands on DAX and azure Synapse.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Engineer
 
 </li>
 <li>
 
 Location: All persistent location
 
 </li>
 <li>
 
 Experience: 5+ Years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Databricks: Proficient in building scalable data pipelines and notebooks.
 </li>
 <li>
 Azure Data Factory (ADF): Experience in orchestrating data workflows and integrating diverse data sources.
 </li>
 <li>
 Azure Synapse Analytics: Strong understanding of data warehousing, distributed querying, and performance optimization.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Hands on experience in Azure data factory
 </li>
 <li>
 Good Knowledge about DataBricks
 </li>
 <li>
 Experience in Power BI , DAX queries, SQL
 </li>
 <li>
 Good command over English communication (Mandatory)
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Guardian Life

<div><div>Job Description:</div><div>
Job Description &ndash; Data Engineer</div><div>
As a Data Engineer, you will play a key role in this exciting journey. Your contributions will go beyond coding, as you'll help bring life to ideas, transforming innovative ideas into tangible solutions that directly impact our business and customers.</div><div> 
You'll work in an innovative, fast-paced environment, collaborating with bright minds while enjoying a balance between strategic and hands-on work. We value continuous learning, and you will have the chance to expand your skillset, mastering new tools and technologies that advance our company's goals.</div><div>
We look forward to welcoming a committed team player who thrives on creating value through innovative solutions and is eager to make a significant impact.</div><div>
You will</div><ul><li>
Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into curated &amp; certified data assets to be used for ML and BI use cases. Create scalable and trusted data pipelines which generates curated data assets in centralized data lake / data warehouse ecosystem.</li><li>
Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues.</li><li>
Extract text data from variety of sources like documents (Word, PDFs, Text Files, JSON etc.), logs, text notes stored in databases, using Web scrapping method from web pages to support development of NLP / LLM solutions.</li><li>
Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for inference.</li><li>
Leverage different public / private APIs for the purpose of extracting data, invoking functionalities as required for the use cases.</li><li>
Develop real time data solutions by developing new API endpoints or streaming frameworks.</li><li>
Develop, test, and maintain robust tools, frameworks, and libraries that standardize and streamline the data &amp; machine learning lifecycle.</li><li>
Implement robust data drift and model monitoring frameworks to use them across pipelines.</li><li>
Collaborate with cross-functional teams of Data Science, Data Engineering, business units and various IT teams.</li><li>
Create and maintain effective documentation for project and practices ensuring transparency and effective team communication.</li><li>
Stay up to date with the latest trends in modern data engineering, machine learning &amp; AI.</li></ul><div>
You Have</div><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree with 3+ years of experience in Computer Science, Data Science, Engineering, or a related field.</li><li>
3+ years of experience in working with Python, SQL, PySpark and bash scripts. Proficient in software development lifecycle and software engineering practices.</li><li>
3+ years of experience in developing and maintaining robust data pipelines for both structured and unstructured data to be used by Data Scientists to build ML Models.</li><li>
3+ years of experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL or equivalent) platforms and experience in working with distributed frameworks like Spark.</li><li>
2+ years of hands-on experience in using Databricks platform for data engineering. Detailed knowledge of Delta Lake, Databricks Workflow, Job Clusters, Databricks CLI, Databricks Workspace etc.</li><li>
Solid understanding of machine learning life cycle, data mining, and ETL techniques.</li><li>
Familiarity with commonly used machine learning libraries (like scikit-learn, xgboost) in terms of exposure and handling of code base which makes use of these libraries for model training &amp; scoring.</li><li>
Proficiency in understanding of REST APIs, experience in using different types of APIs to either extract data or perform a functionality exposed by APIs.</li><li>
Familiarity in Pythonic API development frameworks like Flask / FastAPI. Experience in using containerization frameworks like Docker / Kubernetes.</li><li>
Hands-on experience in building and maintaining tools and libraries which have been used by multiple teams across organization. e.g. Creating Data Engineering common utility libraries, DQ Libraries etc.</li><li>
Proficient in understanding and incorporating software engineering principles in design &amp; development process.</li><li>
Hands on experience with using CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), Orchestration (Airflow, Prefect or equivalent)</li><li>
Excellent communication skills and ability to work and collaborate with cross functional teams across technology and business.</li></ul><div>
Life at Guardian: <div>https://youtu.be/QEtkY6EkEuQ</div></div><div></div><div>
Location:</div><div>
This position can be based in any of the following locations:</div>
Chennai<div>
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday</div></div>

Meril

<div>
 
 Job Title: Data Engineer
 
 
 Experience Required: Minimum 3-4 Years
 
 
 Location: Vapi, Gujarat
 
 
 Employment Type: Full-time
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a skilled and motivated Data Engineer to join our growing technology team. The
 
 
 role involves building and maintaining scalable, reliable, and secure data infrastructure to support
 
 
 analytics, data-driven decision-making, and AI/ML pipelines.
 
 
 You&rsquo;ll work with diverse data types and modern data platforms to design efficient data pipelines and ensure smooth data flow across systems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data
 
 
 using tools like Apache NiFi, Airflow, or Dagster.
 
 
 &bull; Build streaming and event-driven data pipelines using Kafka, RabbitMQ, or similar systems.
 
 
 &bull; Design and manage scalable data lakes (e.g., Apache Hudi, Iceberg, Delta Lake) over Amazon
 
 
 S3 or MinIO.
 
 
 &bull; Implement and optimize distributed databases such as Cassandra, MongoDB, ClickHouse, and
 
 
 ElasticSearch.
 
 
 &bull; Ensure data quality, monitoring, and observability across all data pipeline components.
 
 
 &bull; Work with query engines like Trino for federated data access.
 
 
 &bull; Manage data versioning and reproducibility using tools like DVC.
 
 
 &bull; Perform data migrations, query optimization, and system performance tuning.
 
 
 &bull; Collaborate with analytics, product, and AI teams to provide clean and well-structured datasets.
 
 
 
 
 
 
 Must-Have Skills &amp; Experience
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 
 &bull; 3-4 years of experience as a Data Engineer or in a similar role.
 
 
 &bull; Strong proficiency in Python and SQL.
 
 
 &bull; Hands-on experience with ETL orchestration tools (Airflow, NiFi, Dagster).
 
 
 &bull; Familiarity with data lakes, streaming platforms, and distributed databases.
 
 
 &bull; Experience working with cloud/object storage (Amazon S3, MinIO).
 
 
 &bull; Knowledge of data governance, security, and pipeline observability.
 
 
 
 
 
 
 Good-to-Have Skills
 
 
 
 &bull; Experience with time-series databases (InfluxDB, TimescaleDB, QuestDB).
 
 
 &bull; Familiarity with graph databases (Neo4j, OrientDB, or RavenDB).
 
 
 &bull; Understanding of MLOps, feature stores, or data lifecycle automation.
 
 
 &bull; Exposure to Elasticsearch for indexing and search use cases.
 
 
 &bull; Experience in query performance tuning and data migration strategies.
 
 
 
</div>

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