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head of data engineering & analytics

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Denave

<div>
 
 🔹
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Design, build &amp; maintain
 
 scalable data pipelines
 
 for ingestion, processing &amp; storage.
 </li>
 <li>
 Collaborate 🤝 with
 
 data scientists, analysts, and product teams
 
 to deliver high-quality data solutions.
 </li>
 <li>
 Optimize data systems for
 
 performance, reliability, scalability, and cost-efficiency
 
 .
 </li>
 <li>
 Implement
 
 data quality checks
 
 ✅ ensuring accuracy, completeness, and consistency.
 </li>
 <li>
 Work with
 
 structured &amp; unstructured data
 
 📊 from diverse sources.
 </li>
 <li>
 Develop &amp; maintain
 
 data models, metadata, and documentation
 
 .
 </li>
 <li>
 Automate &amp; monitor workflows using tools like
 
 Apache Airflow
 
 (or similar).
 </li>
 <li>
 Ensure
 
 data governance &amp; security best practices
 
 are followed.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s 🎓degree in
 
 Computer Science, Engineering, or related field
 
 .
 </li>
 <li>
 
 3&ndash;5 years
 
 of experience in
 
 data engineering, ETL development, or backend data systems
 
 .
 </li>
 <li>
 Proficiency in 💻
 
 SQL &amp; Python/Scala
 
 .
 </li>
 <li>
 Experience with 🛠️
 
 big data tools
 
 (Spark, Hadoop, Kafka, etc.).
 </li>
 <li>
 Hands-on with ☁️
 
 cloud data platforms
 
 (AWS Redshift, GCP BigQuery, Azure Data Lake).
 </li>
 <li>
 Familiar with
 
 orchestration tools
 
 (Airflow, Luigi, etc.).
 </li>
 <li>
 Experience with
 
 data warehousing &amp; data modeling
 
 .
 </li>
 <li>
 Strong
 
 analytical &amp; problem-solving skills
 
 ; ability to work independently &amp; in teams.
 </li>
 </ul>
 
 
 
 
 🔹
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 🐳 Experience with
 
 containerization
 
 (Docker, Kubernetes).
 </li>
 <li>
 🔄 Knowledge of
 
 CI/CD processes
 
 &amp;
 
 Git
 
 version control.
 </li>
 <li>
 📜 Understanding of
 
 data privacy regulations
 
 (GDPR, CCPA, etc.).
 </li>
 <li>
 🤖 Exposure to
 
 machine learning pipelines / MLOps
 
 is a plus.
 </li>
 </ul>
</div>

Data Engineer

PwC India

<div>
 
 
 Job Description &amp; Summary:
 
 We are looking for a skilled
 
 Azure Cloud Data Engineer
 
 with strong expertise in
 
 Python programming
 
 ,
 
 Databricks
 
 , and
 
 advanced SQL
 
 to join our team in
 
 Noida
 
 . The candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure cloud platform. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies.
 
 
 
 Level:
 
 Senior Consultant / Manager
 
 
 
 Location:
 
 Noida
 
 
 
 LOS:
 
 
 
 
 Competency:
 
 Data &amp; Analytics
 
 
 
 Skill: Azure Data Engineering
 
 
 
 
 Job Position Title:
 
 
 
 Azure Cloud Data Engineer with Python Programming &ndash; Senior Consultant/Manager (6+ Years)
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
 </li>
 <li>
 Write clean, efficient, and reusable code primarily in
 
 Python
 
 for cloud automation, data processing, and orchestration.
 </li>
 <li>
 Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
 </li>
 <li>
 Build and optimize ETL workflows and ensure seamless data integration across platforms.
 </li>
 <li>
 Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
 </li>
 <li>
 Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
 </li>
 <li>
 Troubleshoot performance bottlenecks in data flows and ETL processes.
 </li>
 <li>
 Integrate advanced analytics and support BI use cases within the Azure ecosystem.
 </li>
 <li>
 Lead code reviews and ensure adherence to version control practices (e.g., Git).
 </li>
 <li>
 Contribute to the design and deployment of enterprise-level data warehousing solutions.
 </li>
 <li>
 Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
 </li>
 </ul>
 
 
 Mandatory skill sets:
 
 
 
 
 
 <ul>
 <li>
 
 Strong Python programming skills (Must-Have)
 
 &ndash; advanced scripting, automation, and cloud SDK experience
 </li>
 <li>
 
 Strong SQL skills (Must-Have)
 
 </li>
 <li>
 
 Azure Databricks (Must-Have)
 
 </li>
 <li>
 Azure Data Factory
 </li>
 <li>
 Azure Blob Storage / Azure Data Lake Storage
 </li>
 <li>
 Apache Spark (hands-on experience)
 </li>
 <li>
 
 Data modeling (Normalization &amp; Denormalization)
 
 </li>
 <li>
 Data warehousing and BI tools integration
 </li>
 <li>
 Git (Version Control)
 </li>
 <li>
 Building scalable ETL pipelines
 </li>
 </ul>
 
 
 Preferred skill sets (Good to Have):
 
 
 
 
 
 <ul>
 <li>
 Understanding of OLTP and OLAP environments
 </li>
 <li>
 Experience with Kafka and Hadoop
 </li>
 <li>
 Azure Synapse Analytics
 </li>
 <li>
 Azure DevOps for CI/CD integration
 </li>
 <li>
 Agile delivery methodologies
 </li>
 </ul>
 
 
 Years of experience required:
 
 
 
 
 
 <ul>
 <li>
 6+ years of overall experience in cloud engineering or data engineering roles, with at least 2-3 years of hands-on experience with Azure cloud services.
 </li>
 <li>
 Proven track record of strong Python development with at least 2-3 years of hands-on experience.
 </li>
 </ul>
 
 
 Education qualification:
 
 
 
 
 
 
 BE/B.Tech/MBA/MCA
 
 
 
</div>

Senior Consultant

Cognizant

<div>
 
 Job Summary
 
 
 
 We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the development and implementation of machine learning models to solve complex business problems
 </li>
 <li>
 Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights
 </li>
 <li>
 Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data
 </li>
 <li>
 Utilize Airflow to manage and automate data workflows and pipelines
 </li>
 <li>
 Implement knowledge graphs to improve data relationships and insights
 </li>
 <li>
 Apply ML Ops practices to streamline the deployment and monitoring of machine learning models
 </li>
 <li>
 Develop and optimize machine learning algorithms using Cloud AutoML and other tools
 </li>
 <li>
 Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction
 </li>
 <li>
 Utilize OpenCV for computer vision tasks and image processing
 </li>
 <li>
 Apply artificial intelligence and natural language processing techniques to enhance data analysis
 </li>
 <li>
 Implement deep learning models using PyTorch and Tensorflow for advanced data analysis
 </li>
 <li>
 Use R Statistical Package and Python for data manipulation analysis and visualization
 </li>
 <li>
 Optimize search engine performance through effective SEO strategies
 </li>
 <li>
 Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives
 </li>
 <li>
 Communicate findings and recommendations to stakeholders in a clear and concise manner
 </li>
 <li>
 Stay updated with the latest advancements in data science and machine learning technologies
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Must have strong experience in Statistics and Azure Open AI Service
 </li>
 <li>
 Must be proficient in EDA Airflow and Knowledge Graph
 </li>
 <li>
 Must have expertise in ML Ops Machine Learning and Cloud AutoML
 </li>
 <li>
 Must be skilled in Dialogflow OpenCV and Artificial Intelligence
 </li>
 <li>
 Must have experience in Natural Language Processing and Deep Learning
 </li>
 <li>
 Must be proficient in PyTorch AI enabled chatbot and Tensorflow
 </li>
 <li>
 Must have strong knowledge of R Statistical Package and Python
 </li>
 <li>
 Must have experience in Search Engine Optimization
 </li>
 <li>
 Nice to have experience in other data science and machine learning tools and technologies
 </li>
 <li>
 Must have excellent communication and collaboration skills
 </li>
 </ul>
</div>

Data Scientist

Ericsson

<div>
 
 About Ericsson
 
 
 
 Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.
 
 
 
 Key Responsibilities
 
 
 
 Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.
 
 
 Utilize Python for data manipulation, analysis, and modeling tasks.
 
 
 Proficient in SQL for querying and analyzing large datasets.
 
 
 Experience with Docker and Kubernetes for containerization and orchestration of applications.
 
 
 Basic knowledge of PySpark for distributed computing and data processing.
 
 
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
 
 
 Deploy machine learning models into production environments and ensure scalability and reliability.
 
 
 Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.
 
 
 
 Qualifications
 
 
 
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.
 
 
 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.
 
 
 Proven experience in model development, evaluation, and deployment.
 
 
 Strong programming skills in Python and SQL.
 
 
 Familiarity with Docker, Kubernetes, and PySpark.
 
 
 Solid understanding of machine learning techniques and algorithms.
 
 
 Experience working with cloud platforms, preferably GCP.
 
 
 Excellent problem-solving skills and ability to work independently as well as part of a team.
 
 
 Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.
 
 
 
 Why join Ericsson?
 
 
 
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) || Noida
 
 
 
 Req ID:
 
 767292
</div>

Testeem Solutions

<div>
 🔍 𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 &ndash; 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁
 
 
 📍 Location: Noida (Hybrid) | 🕒 Experience: 4-5 years
 
 
 Are you passionate about pushing the boundaries of AI with real-world impact?
 
 
 We're looking for a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 to join our team and help build cutting-edge intelligent systems. What You&rsquo;ll Do: You'll work on advanced AI applications using 𝗟𝗟𝗠𝘀, 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗮𝗻𝗱 𝗡𝗟𝗣, developing innovative solutions with tools like 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲, 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲 𝗢𝗽𝗲𝗻𝗔𝗜. From building 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 to deploying full-stack AI services, your expertise will directly shape the next generation of intelligent systems.
 
 
 𝗪𝗵𝗮𝘁 𝗪𝗲&rsquo;𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿:
 
 
 <ul>
 <li>
 3+ years in Data Science with a focus on Generative AI, LLMs, and NLP
 </li>
 <li>
 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵:
 </li>
 <li>
 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗴𝗿𝗮𝗽𝗵𝘀
 </li>
 <li>
 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝘀𝘁𝗮𝗰𝗸 &ndash; OpenAI, Cognitive Services, Azure ML
 </li>
 <li>
 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 and agentic AI orchestration tools
 </li>
 <li>
 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 for model fine-tuning
 </li>
 <li>
 𝗩𝗲𝗰𝘁𝗼𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, semantic search, embeddings
 </li>
 <li>
 𝗣𝘆𝘁𝗵𝗼𝗻 for AI applications and system integration
 </li>
 <li>
 Solid MLOps background &ndash; CI/CD, DevOps, scalable deployment
 </li>
 <li>
 Familiarity with tools like 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗔𝗪𝗦, 𝗠𝗟𝗳𝗹𝗼𝘄, 𝗙𝗮𝗶𝘀𝘀, 𝗥𝗲𝗱𝗶𝘀, 𝗮𝗻𝗱 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗣𝗜𝘀
 </li>
 <li>
 A creative problem-solver who enjoys debugging, optimizing, and improving AI systems
 
 
 </li>
 </ul>
 Skills: data science,advanced,intelligent systems
</div>

STAGE

<div>
 
 
 About STAGE:
 
 
 
 STAGE is India&rsquo;s leading OTT platform focused on regional content and storytelling. We are on a mission to empower audiences with authentic, homegrown content, and data is at the core of how we build, scale, and deliver.
 
 
 
 
 
 
 Role Overview:
 
 
 
 As the
 
 Head of Data
 
 , you will lead and scale our Data Engineering and Analytics functions. You will be responsible for building a high-performing team, driving the data vision, ensuring cost efficiency, and enabling data-driven decision-making across STAGE.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Leadership &amp; Strategy
 
 <ul>
 <li>
 Define and drive the data vision, strategy, and roadmap for STAGE.
 </li>
 <li>
 Lead Data Engineering and Analytics teams to deliver scalable, reliable, and impactful data platforms.
 </li>
 <li>
 Build, mentor, and grow a high-performing data team through effective hiring, feedback, and career development.
 </li>
 </ul>
 
 Execution &amp; Delivery
 
 <ul>
 <li>
 Oversee the entire data lifecycle: collection, storage, processing, governance, and visualization.
 </li>
 <li>
 Deliver accurate, timely insights and enable self-service analytics across teams.
 </li>
 <li>
 Collaborate with Product, Engineering, Marketing, and Business stakeholders to prioritize initiatives.
 </li>
 </ul>
 
 Operational Excellence
 
 <ul>
 <li>
 Manage budgets and optimize infrastructure and tool costs.
 </li>
 <li>
 Establish best practices for data quality, privacy, compliance, and security.
 </li>
 <li>
 Build scalable reporting frameworks and ensure operational efficiency.
 </li>
 </ul>
 
 Stakeholder Management
 
 <ul>
 <li>
 Act as a trusted partner to leadership, enabling data-driven decision-making.
 </li>
 <li>
 Align data priorities with overall business objectives.
 </li>
 </ul>
 
 
 
 
 
 Desired Skills &amp; Experience:
 
 
 <ul>
 <li>
 
 10+ years of overall experience
 
 in Data Engineering, Data Analytics, or related domains.
 </li>
 <li>
 Minimum
 
 3 years of proven leadership experience
 
 managing data teams.
 </li>
 <li>
 Hands-on foundation as a Data Engineer or Data Analyst.
 </li>
 <li>
 Strong experience in hiring, mentoring, and team growth.
 </li>
 <li>
 Expertise in
 
 cost management, prioritization, and stakeholder alignment
 
 .
 </li>
 <li>
 Experience with modern data stacks: cloud platforms (AWS/GCP/Azure), data warehousing (Snowflake/BigQuery/Redshift), and analytics tools (Looker, Tableau, Power BI, etc.).
 </li>
 <li>
 Excellent communication, leadership, and problem-solving skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join STAGE?
 
 
 <ul>
 <li>
 Lead and build the Data function for a high-growth OTT platform.
 </li>
 <li>
 Work on impactful, large-scale data problems that shape the future of regional content in India.
 </li>
 <li>
 Join a collaborative culture focused on innovation, ownership, and growth.
 </li>
 </ul>
</div>

Head of Data Engineering & Analytics

ShyftLabs

<div>
 
 Position Overview:
 
 
 
 We are looking for a passionate Backend Engineer to join our growing engineering team. You will be responsible for designing, building, and maintaining scalable backend systems powering our SaaS-based multi-tenant applications. This role requires strong expertise in Node.js, database management, and cloud-native practices.
 
 
 ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, maintain, and optimize backend services using Node.js and TypeScript/JavaScript
 </li>
 <li>
 Work with both SQL (PostgreSQL) and NoSQL (MongoDB) databases for data modeling, performance tuning, and query optimization
 </li>
 <li>
 Build secure, scalable APIs to support frontend applications and third-party integrations
 </li>
 <li>
 Implement containerized deployments using Docker and manage workloads in Kubernetes (K8s) environments
 </li>
 <li>
 Collaborate with the DevOps team to follow GitOps practices for CI/CD pipelines and infrastructure as code
 </li>
 <li>
 Design and implement features for CMS-driven, SaaS, and multi-tenant platforms
 </li>
 <li>
 Write clean, maintainable, and testable code with proper documentation
 </li>
 <li>
 Monitor system performance, troubleshoot issues, and ensure high availability and reliability
 
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 3&ndash;5 years of professional experience in backend development
 </li>
 <li>
 Strong proficiency in Node.js (Express.js, NestJS, and similar frameworks)
 </li>
 <li>
 Experience with MongoDB and PostgreSQL
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and GitOps-based DevOps workflows
 </li>
 <li>
 Understanding of RESTful API design, GraphQL, and microservices architecture
 </li>
 <li>
 Exposure to multi-tenant SaaS platforms or headless CMS integrations is a plus
 </li>
 <li>
 Knowledge of authentication, authorization, and security best practices
 </li>
 <li>
 Familiarity with cloud environments (AWS/GCP/Azure) is an advantage
 
 
 
 </li>
 </ul>
 
 Meta Tech Stack
 
 
 
 <ul>
 <li>
 Languages: Node.js, TypeScript/JavaScript
 </li>
 <li>
 Frameworks: Express.js, NestJS
 </li>
 <li>
 Databases: PostgreSQL, MongoDB
 </li>
 <li>
 DevOps &amp; Infra: Docker, Kubernetes, GitOps, CI/CD pipelines
 </li>
 <li>
 CMS/Platform: Multi-tenant SaaS
 
 
 
 </li>
 </ul>
 
 We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
 
</div>

Backend Software Engineer

Explore 64+ Data engineer in Noida this September. Find roles across top companies and apply now to boost your career.

64 data engineer jobs IN Noida

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Head of Data Engineering & Analytics

Backend Software Engineer