17292 Hive Jobs - Page 25

Description Job summary Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams. Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers. As ...

DESCRIPTION About the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. About the role: Amazon's Global Finance Services (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Business Intelligence Engineer to support our Amazon Music finance team. As a Data Engineer, You will be working on...

About the Role We are looking for a highly skilled Data Engineer to design, build, and maintain robust data pipelines and scalable data infrastructure. You will work closely with analytics, product, and engineering teams to enable high-quality data availability for business insights, machine learning, and operational processes. This role is ideal for an engineer who enjoys solving complex data problems, optimizing systems, and ensuring clean, reliable data flows. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering tools. Build and optimize data lakes, data warehouses, and streaming architectures . Work with large and complex datasets to...

Description We are looking for an analytical, results-driven Cloud Solution Architect who will work individually and with various stakeholders to troubleshoot and improve current application stack and processes. The Cloud Solution Architect will use his or her understanding of programming, knowledge of languages, and various tools to analyze current standards and processes and to optimize them quickly for a more secure and reliable system to create a more seamless experience for users. Job Description Strong verbal and written communication skills. Demonstrated ability to adapt to new technologies and learn quickly. Hands-on IT experience with knowledge of infrastructure, cloud, security, co...

Primary Skills Python, Spark, Hadoop, Hive , Unix Shell Scripting, Airflow or Control M ( Highlighted in red are mandate) Exp 5 - 12 Yrs Location Tech M Office Chennai Sholinganallur / Bellandur - Bengaluru Work Mode Hybrid – 12 Days a month Job Description Through and hands on knowledge on Python and Spark Programming and writing efficient, reusable, and reliable Python code. Well versed with: Very good proficiency in Python and Spark programming. Pandas: Experience with data manipulation and analysis using Pandas. Implementation experience of Spark Core, Spark SQL and Spark Streaming Working with Spark in combination Hadoop Ecosystem Design and implementation of low-latency, high-availabil...

Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thi...

The Applications Support Senior Analyst is responsible for providing technical and functional support for business-critical applications. This role involves troubleshooting application issues, managing incidents, collaborating with IT teams, and ensuring smooth system operations to minimize business disruptions Responsibilities: Provide Level 2/3 support for business applications, troubleshooting technical and functional issues Monitor daily Autosys job executions, system performance, ensuring uptime and reliability Investigate and diagnose production issues in a timely manner to provide root cause analysis and solutions to prevent future issues Collaborate with cross-functional teams to ide...

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 ...

Greetings from TCS!!!! TCS invites application for AWS Data Engineer Experience Range: 5+ Years Locations: Hyderabad, Kolkata Notice Period: Less than 60 days If interested kindly mention your available time slots (between 10am-5pm) for a Virtual Interview on 24-Dec-25 (Wednesday) Job Description - Good hands-on experience in Python programming and Pyspark/Scala Data Engineering experience using AWS core services (Lambda, Glue, EMR, S3 and RedShift) Good knowledge on any of the ETL tools and SQLs

DESCRIPTION We are seeking a highly skilled Data Engineer to join our FinTech ADA team, responsible for building and optimizing scalable data pipelines and platforms that power analytics, automation, and decision-making across Finance and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM, along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and unstructured datasets, leveraging both relational and non-relational data stores (object storage, key-value/document databases, graph, and column-family ...

The Role : Lead Big Data developer. The Team : Content Externalization team at S&P Ratings responsible for data distribution to both external & internal clients through various pipeline. Each of our employees plays a vital role—uncovering the essential intelligence that our clients rely on day in and day out to make the decisions that matter. We pursue excellence in everything we do. We value results, encourage teamwork, and embrace change. Our team is responsible for the design, architecture, develop, and implement various ETL pipelines and distribution channels. The team has a broad and expert knowledge domain, technology stacks and architectural patterns. They foster knowledge sharing and...

The Group The AdviserLogic group develops solutions that empower financial advisors to deliver compliant and comprehensive financial advice, enabling their clients and investors to achieve their goals. We leverage Morningstar’s extensive data and research to make the advice process compliant, efficient, and effective. The Role As a Tech Lead , you’ll be part of a data-centric team responsible for aggregating, processing, and standardizing large-scale datasets from multiple geographies for downstream systems. You will design scalable, reliable data pipelines and collaborate with the ECHO team to deliver high-quality, compliant financial planning solutions. Responsibilities Build and optimize ...

The role of Officer– Data Management/Information Analyst will be part of AIM team based out of Bengaluru, India supporting the Global Wealth team Who you are Data Driven. A proven track record of enabling decision making and problem solving with data. Conceptual thinking skills must be complemented by a strong quantitative orientation and data driven approach. Excellent Problem Solver. You are a critical thinker, able to ask right questions, make sense of a situation and come up with intelligent solutions. Strong Team Player. You build a trusted relationships with your team members. You are ready to offer unconditional assistance, will listen, share knowledge, and are always ready to provide...

Bangalore Business Analyst | 6 to 9 years | Bengaluru Job Description Experience: Minimum 5 years as a Business Analyst or Data Analyst within financial services, focusing on data-intensive projects in Treasury, Market Risk, or Finance Technology. Core Expertise: Mandatory: Demonstrated ability to define data requirements, develop conceptual and logical data models, and create data flow diagrams. Mandatory: Strong proficiency in SQL for data profiling, analysis, reconciliation, and validation. Domain Knowledge: In-depth understanding of Treasury Securities, Bonds, Equities, and complex derivatives, particularly in relation to Initial Margin (IM) or Hedge Accounting. Data Requirements Experti...

The ideal candidate for this role should possess a Post Graduate Degree in Computer Science or a related field (or equivalent industry experience) with a strong background in Mathematics and Statistics, complemented by a minimum of 5+ years of development and design experience as a Data Engineer. Required expertise includes experience with Big Data platforms and distributed computing technologies such as Hadoop, Map/Reduce, Spark, HBase, and Hive. The role demands proficiency in data pipeline software engineering best practices in Python, encompassing linting, unit/integration tests, git flow/pull request process, object-oriented development, data validation, algorithms, data structures, tec...

Data Engineer : Job Description : Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data. Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats . Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions. Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery. Design and implement data CI/CD pipelines to enable auto...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC ...

Description We are seeking a highly skilled Data Engineer to join our FinTech ADA team, responsible for building and optimizing scalable data pipelines and platforms that power analytics, automation, and decision-making across Finance and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM, along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and unstructured datasets, leveraging both relational and non-relational data stores (object storage, key-value/document databases, graph, and column-family ...

Background Praan (Praan, Inc.) is an impact focused deep-tech startup democratizing clean air using breakthrough filterless technology. The company is backed by top tier VCs and CXOs globally and currently operates between the United States and India. Our team puts extreme attention to detail and loves building technology that's aspirational. Praan's team and culture is positioned to empower people to solve large global problems at an accelerated pace. Why Everyone worries about the dooms-day in climate change which is expected to occur in the 2050s. However, there's one doom's day which is the reality for millions of people around the world today. Air pollution takes more than 7 Million liv...

Roles & Responsibilities Key Responsibilities Analyze existing Hadoop, Pig, and Spark scripts from Dataproc and refactor them into Databricks-native PySpark. Implement data ingestion and transformation pipelines using Delta Lake best practices. Apply conversion rules and templates for automated code migration and testing. Conduct data validation between legacy and migrated environments (schema, count, and data-level checks). Collaborate on developing AI-driven tools for code conversion, dependency extraction, and error remediation. Ensure best practices for code versioning, error handling, and performance optimization. Participate in UAT, troubleshooting, and post-migration validation activi...

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, an...

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Titl...

About the Role We are looking for a highly skilled Data Engineer to design, build, and maintain robust data pipelines and scalable data infrastructure. You will work closely with analytics, product, and engineering teams to enable high-quality data availability for business insights, machine learning, and operational processes. This role is ideal for an engineer who enjoys solving complex data problems, optimizing systems, and ensuring clean, reliable data flows. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering tools. Build and optimize data lakes, data warehouses, and streaming architectures . Work with large and complex datasets to...

As a Data Engineering at Zupee, you will play a crucial role in developing the next generation of our Data platform. Your collaboration across various functions like product, marketing, design, innovation/growth, strategy/scale, customer experience, data science & analytics, and technology will be essential for the success of our platform. **Core Responsibilities:** - Understand, implement, and automate ETL and data pipelines with up-to-date industry standards. - Hands-on involvement in the design, development, and implementation of optimal and scalable AWS services. **Qualifications and Skills:** - 2-4 years of professional experience in a data engineering profile. - BS or MS in Computer Sc...