17292 Hive Jobs - Page 37

This is a remote position. Key Points - Must Have: Advanced Java proficient Microservices Spring boot Writing SQL Queries (proficient) AWS 4-5 Yrs in Java, 2-3 exp - Spark Good to have Unix Shell scripting JD Minimum of 8 years of experience in building complex Data Platforms and Data Engineering solutions Minimum of 6 years of hands on experience in architecture and development of data solutions in AWS environment using AWS Services Experience with big data technologies such as: Spark, EMR, Hadoop, Hive, Experience programming with at least one modern language such as Scala, Java, Python Hands on experience on NoSQL DBs like DynamoDB, DocumentDB, MongoDB Hands on experience on implementing ...

This is a remote position. Location - Hyderabad/Bangalore/Gurugram/Pune/Mumbai Work type: Remote but physical onboarding will be conducted & candidate needs to visit office in 3 to 6 month for conference Key Points Must Have Advanced Java proficient- Microservices Spring boot Writing SQL Queries (proficient) AWS 4-5 Yrs in Java, Exp:2-3 exp - Spark Good to have Unix Shell scripting JD Minimum of 8 years of experience in building complex Data Platforms and Data Engineering solutions. Minimum of 6 years of hands on experience in architecture and development of data solutions in AWS environment using AWS Services Experience with big data technologies such as: Spark, EMR, Hadoop, Hive, Experienc...

This is a remote position. JD: We are seeking a big data engineer with advance Java experience to join our modernization initiative team. The candidate will be responsible for implementing and maintaining high volume online and offline batch and transactional client facing applications in cloud and On-prem. Candidate will also responsible for the creation and maintenance of our Code & database infrastructure, including collecting and maintaining data, ensuring the integrity of our data, and training data models Minimum 8 to 10 years of experience in Spring boot, Advanced Java and Spark. Bachelors degree or higher in computer science, data science, or a related field. Hands-on experience with...

About Us: Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs. Know our story: https://www.mobileum.com/ Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of 1800+. Join Our Engineering...

Role Description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com. Summary: UST is looking for Data Engineer (Lead I – Software Engineering). The Opportunity: Proven experience as a data engineer, with at least 5 plus years of experience in a similar role What You Need: Good handson experience in PySpark & GCP or any other cloud Design, implement, and optimize data pipelines using Spark ,Had...

Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Job Description More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frame...

Role**: Python/PySpark Developer Desired Experience Range: 05 - 7 yrs Location of Requirement: Hyderabad We are currently planning to do a Walk-In Interview on 20 th December 2025 (Saturday) at TCS Hyderabad. Date – 20 th December 2025 (Saturday) Venue - Hyderabad (TCS SP_NSEZ) Job Description: Must-Have: Strong proficiency in Python programming. Hands-on experience with PySpark and Apache Spark . Knowledge of Big Data technologies (Hadoop, Hive, Kafka, etc.). Experience with SQL and relational/non-relational databases. Familiarity with distributed computing and parallel processing . Understanding of data engineering best practices. Experience with REST APIs , JSON/XML , and data serializati...

Job Description – Data Architect (6–10 years) Role Summary We are looking for an experienced Data Architect with 6–10 years of expertise in data engineering, data management, and architecture. This role will define the strategy, design, and implementation of enterprise-scale data platforms, ensuring data availability, governance, security, and scalability across the organization. The Data Architect will collaborate with technology and business stakeholders to align data initiatives with strategic goals. Key Responsibilities ∙Define the enterprise data architecture roadmap, covering data modeling, integration, quality, and governance. ∙Architect and implement data platforms including data war...

Description: Job Description We are seeking an experienced Senior Data Scientist with strong expertise in Generative AI to design, develop, and deploy production-grade machine learning solutions. This role combines data science, data engineering, and cloud-based deployment, with a focus on building reliable models in a regulated operational environment. Requirements: 6+ years of experience in Data Science or Advanced Analytics Strong expertise in Generative AI models and techniques Proven data engineering experience with production pipelines Proficiency in Python and data science libraries Experience with Spark and AWS or Azure Strong communication and collaboration skills Aviation domain ex...

General Information Req # WD00091292 Career Area: Data Management and Analytics Country/Region: India State: Karnataka City: BANGALORE Date: Monday, December 15, 2025 Working Time: Full-time Additional Locations : India - Karnātaka - Bangalore India - Karnātaka - BANGALORE Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. 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’s largest PC company with a full-stack portfolio of AI-enabl...

Job Summary Product Specialists are the drivers of solution to the business problems, opportunities to automate a Business Process, offer solution to new product/services & crucial for the product development process, from concept to production along with the performance of the developed product / function in all aspects. With their commitment to innovation and knowledge in T24, these analysts seek, develop, and help implement strategic initiatives for improved efficiency and productivity. This person should also be wholly committed to the development of innovative, reliable functions in an ever-changing digital landscape in banking. Responsible for the creation and improvement of product, T...

Role Description This is a full-time hybrid role ( Multiple roles) for a Databricks lead and Architect located in Chennai and Pondicherry, with the flexibility to work remotely on occasion. The Databricks Architect will be responsible for designing scalable architectures, developing software solutions, integrating Databricks with other platforms, and creating efficient architectural designs. Additionally, the role involves collaborating with cross-functional teams, managing projects to ensure timely delivery, and supporting the implementation of Databricks solutions that align with business goals. Key Responsibilities: Be the go to person for everything related to solutioning and Architectur...

Job Description We are seeking a skilled Data Engineer with over 5+ years of experience to design, build, and maintain scalable data pipelines and perform advanced data analysis to support business intelligence and data-driven decision-making. The ideal candidate will have a strong foundation in computer science principles, extensive experience with SQL and big data tools, and proficiency in cloud platforms and data visualization tools. Responsibilities Key Responsibilities: Exp: 5+ years Design, develop, and maintain robust, scalable ETL pipelines using Apache Airflow, DBT, Composer (GCP), Control-M, Cron, Luigi, and similar tools. Build and optimize data architectures including data lakes ...

Job Description We are seeking a skilled Data Engineer with over 5+ years of experience to design, build, and maintain scalable data pipelines and perform advanced data analysis to support business intelligence and data-driven decision-making. The ideal candidate will have a strong foundation in computer science principles, extensive experience with SQL and big data tools, and proficiency in cloud platforms and data visualization tools. Responsibilities Key Responsibilities: Exp: 5+ years Design, develop, and maintain robust, scalable ETL pipelines using Apache Airflow, DBT, Composer (GCP), Control-M, Cron, Luigi, and similar tools. Build and optimize data architectures including data lakes ...

You will be working as an Azure Data Engineer with 3 to 8 years of experience. Your role will involve collaborating with various projects to create data solutions for a variety of business use cases. You will drive innovation within Data Engineering and play a key role in shaping the technology for the future of data and analytics. Your key responsibilities will include: - Playing a critical role in the design and development of highly complex data projects - Identifying gaps and weaknesses in the data stack and guiding advancements for the team - Providing technical expertise to teams in all phases of work, including analysis, design, development, and implementation of cutting-edge solution...

As a Databricks Engineer at our company, your role involves designing, developing, and implementing big data solutions using Databricks and Apache Spark. You will collaborate with cross-functional teams to gather requirements, troubleshoot and resolve big data processing issues, and optimize solutions for performance and scalability. Your responsibilities will also include developing and maintaining Databricks notebooks, jobs, and workflows, as well as ensuring seamless integration of big data solutions. Additionally, you will be expected to develop and maintain technical documentation. Key Responsibilities: - Design, develop, and test big data solutions using Databricks and Apache Spark. - ...

Role Overview: As a Consultant in Performance Analytics within the Advisors & Consulting Services group at Mastercard, you will be part of a team specializing in translating data into valuable insights for clients. Your main responsibility will be to design, implement, and scale analytical solutions using both qualitative and quantitative techniques. By leveraging Mastercard and customer data, you will contribute to the development of analytics strategies and programs to unlock client value. Key Responsibilities: - Provide creative input on projects across various industries and problem statements - Contribute to analytics strategies and programs for regional and global clients - Collaborate...

Role Overview: You will be part of the Retail Bank Fraud Analytics team within the Citi Analytics & Information Management (AIM) team. Your primary responsibility will be to analyze transaction data, understand fraud patterns, and develop fraud loss mitigation strategies to minimize fraud losses and customer impact. You will also be involved in monitoring strategy performance, collaborating with the strategy implementation team, and proactively implementing fraud loss mitigation measures using new data sources and advanced analytics techniques. Key Responsibilities: - Conduct hands-on analysis on a regular and ad hoc basis, extract data from various sources beyond transactions, generate frau...

As a Data Science Lead at our company, you will be a strategic professional who stays updated on developments within the field and contributes to directional strategy by applying them in your job and the business. You will be a recognized technical authority within the business, requiring basic commercial awareness. Your role will involve providing advice and counsel related to the technology or operations of the business, impacting the entire area and overall performance of the sub-function/job family. **Key Responsibilities:** - Conduct strategic data analysis, identify insights, and make strategic recommendations. Develop data displays that clearly communicate complex analysis. - Mine and...

Job Description: You will be responsible for working with AWS/Azure, ETL, SQL, DATABRICKS, Python/Scala, PY-SPARK/Spark, APACHE NIFI or HIVE technologies to support data engineering tasks. Key Responsibilities: - Utilize AWS/Azure services for data processing and storage - Develop and maintain ETL pipelines - Write and optimize SQL queries for data retrieval and manipulation - Use DATABRICKS for data analysis and processing - Program in Python/Scala for data transformation tasks - Work with PY-SPARK/Spark for big data processing - Implement data ingestion and streaming using APACHE NIFI or HIVE Qualifications Required: - Minimum 5 years of experience in data engineering - Proficiency in AWS/...

As a Senior Data Engineer at SoftwareOne, you will be responsible for designing, developing, and maintaining the data lakehouse and pipelines. You will collaborate closely with the Data & Analytics teams to ensure efficient data flow and support data-driven decision-making. The ideal candidate should have a strong background in data engineering, expertise in Databricks, Azure Data Factory, and other Azure services, and a passion for working with large-scale data sets. **Key Responsibilities:** - Collaborate with the Product Owner, Business analyst, and team members to understand requirements and design scalable data pipelines and architectures. - Build and maintain data ingestion, transforma...

Roles & Responsibilities Deliver training on Data Engineering fundamentals and architectures. Train on Python / SQL for data processing and analytics. Teach ETL/ELT concepts, data pipelines, and workflow orchestration. Provide hands-on training on Apache Spark (PySpark). Explain data warehousing concepts (Star/Snowflake schema). Train candidates on Big Data tools: Hadoop, Hive (basic to intermediate). Cover cloud data platforms: AWS / Azure / GCP (any one). Teach streaming concepts using Kafka (basic). Prepare training materials, labs, and real-time use cases. Conduct assessments, mock interviews, and placement-oriented sessions. Mentor trainees on best practices, performance tuning, and car...

Big Data Engineer Industry: IT Services & Consulting — Big Data & Analytics sector. We deliver large-scale data platforms, ETL and streaming solutions to help enterprises operationalize analytics and drive data-led decisions. This on-site role is based in India and seeks hands-on engineers to build, tune and support production-grade data pipelines. Role & Responsibilities Design, build and maintain scalable batch and real-time data pipelines for ingestion, transformation and delivery to data lakes and analytics platforms. Implement ETL/ELT workflows using Spark and Hadoop ecosystems to process structured and unstructured data at scale. Develop and optimise Kafka-based streaming solutions for...

Big Data Engineer Industry: IT Services & Consulting — Big Data & Analytics sector. We deliver large-scale data platforms, ETL and streaming solutions to help enterprises operationalize analytics and drive data-led decisions. This on-site role is based in India and seeks hands-on engineers to build, tune and support production-grade data pipelines. Role & Responsibilities Design, build and maintain scalable batch and real-time data pipelines for ingestion, transformation and delivery to data lakes and analytics platforms. Implement ETL/ELT workflows using Spark and Hadoop ecosystems to process structured and unstructured data at scale. Develop and optimise Kafka-based streaming solutions for...

Big Data Engineer Industry: IT Services & Consulting — Big Data & Analytics sector. We deliver large-scale data platforms, ETL and streaming solutions to help enterprises operationalize analytics and drive data-led decisions. This on-site role is based in India and seeks hands-on engineers to build, tune and support production-grade data pipelines. Role & Responsibilities Design, build and maintain scalable batch and real-time data pipelines for ingestion, transformation and delivery to data lakes and analytics platforms. Implement ETL/ELT workflows using Spark and Hadoop ecosystems to process structured and unstructured data at scale. Develop and optimise Kafka-based streaming solutions for...