1357 Hbase Jobs - Page 10

Role Overview: You will be responsible for developing models to achieve business objectives and tracking their progress with metrics. Your role will involve developing scalable infrastructure for automating training and deployment of ML models, managing resources efficiently to meet deadlines, and creating data visualizations for better data comprehension. Additionally, you will brainstorm and design various POCs using ML/DL/NLP solutions, work with and mentor fellow Data and Software Engineers, and communicate effectively to understand product challenges. Key Responsibilities: - Understand business objectives and develop models to achieve them - Develop scalable infrastructure for automatin...

As an Applications Development Senior Big Data Engineer, you will be responsible for managing a team to establish and implement new application systems. Your role will involve driving applications systems analysis, development, and maintenance activities, actively participating in the entire software/application development lifecycle. **Key Responsibilities:** - Manage one or more Applications Development teams to achieve established goals - Provide technical oversight across systems and applications using in-depth knowledge and skills - Review and analyze proposed technical solutions for projects - Contribute to formulating strategies for applications development - Develop comprehensive kno...

We are currently seeking a Data Engineer to join our team in Remote, Karntaka (IN-KA), India (IN). "Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and ...

i. BE/ B.Tech/ M.Tech/ MCA quarification or equivalent; ii. Post-graduation in technology is preferred; iii. Should have strong oral and wriffen communication skills and should be well-versed with program management tools; Job Description l0+ years of database experience MySQL, Postgress SQL, MS-SQL, Hbase, Casandra, MongoDB etc. Knowledge on CEPH is mandatory Experience as a software developer or data architect or in a data management role Experience working with at least two, and expert-level knowledge of at least two database technologies like'Mysel, Postgres, MS sQL Server, vertica, Snowflake, Dynamoolg, MongoDB, DocumentDB, Map-R, Cassandra etc. Understanding of various relational and n...

Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations. Collaborate seamlessly across diverse technical stacks, including Cloudera...

Responsibilities What you'll do Engineer, test, document and manage GCP Dataproc, DataFlow and VertexAI services used in high-performance data processing pipelines and Machine Learning. Help developers optimize data processing jobs using Spark, Python, and Java. Collaborate with development teams to integrate data processing pipelines with other cloud services and applications. Utilize Terraform and Tekton for infrastructure as code (IaC) and CI/CD pipelines, ensuring efficient deployment and management. Good to have Experience with Spark for large-scale data processing. Solid understanding and experience with GitHub for version control and collaboration. Experience with Terraform for infras...

Essential for this role: Education and Qualifications: • Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent. • Minimum seven plus years of experience in data analytics field • Experience with Azure/AWS Databricks • Experience in building and optimizing data pipelines, architectures and data sets • Excellent experience in Scala or Python, PySpark and SQL • Ability to troubleshoot and optimize complex queries on the Spark platform • Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques • Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS • Hands on...

As an experienced Big Data professional with over 7 years of experience, you will be required to have a strong expertise in Spark and Scala. Your mandatory skills should include proficiency in Big Data, particularly in Spark and Scala. Additionally, you should possess a strong knowledge of HDFS, Hive, and Impala. Familiarity with Unix, Oracle, and Autosys is also essential for this role. Experience with Agile Methodology and Banking Expertise would be a plus. Key Responsibilities: - Proficiency in Big Data, focusing on Spark and Scala - Strong knowledge of HDFS, Hive, and Impala - Familiarity with Unix, Oracle, and Autosys - Experience with Agile Methodology and Banking Expertise - Excellent...

Position Summary Role Value Proposition: Work and collaborate with a nimble, autonomous, cross-functional team of makers, breakers, doers, and disruptors who love to solve real problems and meet real customer needs. You will be using cutting-edge technologies and frameworks to analyze data, to help create the pipeline, and collaborate with the data science team to enable the innovative work in machine learning and AI. Eagerness to learn new technologies on the fly and ship to production Knowledge in data science is a plus More than just a job we hire people who love what they do! Job Responsibilities 1. Building and Implementing data ingestion and curation process developed using Big data to...

We are currently seeking a Data Engineer to join our team in Mumbai, Mahrshtra (IN-MH), India (IN). Job Duties: Key Responsibilities: Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scala...

Manager Information Systems, Manufacturing Data Analytics What you will do In this vital role would you like to take your data analytics and advanced technology skills and help deliver the world's most sophisticated and life-changing biotech medicines by building creative and ground-breaking software frameworks Amgen is using cloud technology, DevSecOps frameworks, and continuous deployment pipelines to build new drug therapies for patients that address grievous illnesses. We are seeking a Manager Information Systems Mfg data analytics product team for a position in Amgen's Operations Digital, Technology, and Innovation Organization. This role will develop and expand digital capability focus...

What you will do In this vital role you will as a Manager, Information Systems Engineering Systems & Smart Manufacturing , you will lead the strategy, deployment, and lifecycle management of key digital platforms supporting Amgens Global Engineering, Facilities, and Capital Project Management functions. You will play a critical role in driving Amgens digital transformation through the implementation of advanced systems such as SAP EAM , Planisware , Metrology Tools , Chemical Management , Asset Management, Environmental Health and Safety and Autodesk BIM 360 , while also contributing to Industry 4.0 and Smart Factory initiatives. As the Manager Information systems supporting Global Engineeri...

What you will do In this vital role you will as a Manager, Information Systems Engineering Systems & Smart Manufacturing , you will lead the strategy, deployment, and lifecycle management of key digital platforms supporting Amgens Global Engineering, Facilities, and Capital Project Management functions. You will play a critical role in driving Amgens digital transformation through the implementation of advanced systems such as SAP EAM , Planisware , Metrology Tools , Chemical Management , Asset Management, Environmental Health and Safety and Autodesk BIM 360 , while also contributing to Industry 4.0 and Smart Factory initiatives. As the Manager Information systems supporting Global Engineeri...

1 Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks 2 Ensure data pipelines run smoothly and efficiently 3 Developing scalable and re-usable frameworks for ingesting of data sets 4 Integrating the end-to-end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times 5 Working with event based / streaming technologies to ingest and process data 6 Working with other members of the project team to support delivery of additional project components (API interfaces, Search) 7 Evaluating the performance and applicability of multiple tools against customer requirem...

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product review...

What you will do In this vital role you will develop and expand digital capability focused on shaping and delivering world-class technology systems and tools for Process Development and beyond. As part of this role, you will be designing and developing robust data models, data pipelines and data products on innovative technologies as part of a product team of data scientists, business analysts, and software engineers. Provide technical leadership to enhance the culture of innovation, automation, and solving difficult scientific and business challenges. Technical leadership includes providing vision and direction to develop scalable reliable solutions. Provide leadership to select right-sized...

What you will do In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Provide technical leadership to enhance the culture of innovation, automation, and solving difficult scientific and business challenges. Technical leadership includes providing visio...

Your Role We are looking for a Data Ops Engineer-II to help our customers explore their healthcare data, understand how to improve the health of the population and bring down the cost of healthcare. A Day in the Life at Innovaccer Create world class customer facing documentation which would delight and excite customers Remove ambiguity in understanding things by documenting things and hence making the teams more efficient and effective Convert tacit knowledge to implicit knowledge Requirements 3+ years of experience in SQL/ Linux / Unix. Strong experience with troubleshooting cloud-based technologies. (Linux/Unix systems). Good Exposure to workflow automation tool(s). At least must have work...

Role Purpose The purpose of this role is to design, develop and troubleshoot solutions/ designs/ models/ simulations on various softwares as per clients/ project requirements Do 1. Design and Develop solutions as per clients specifications Work on different softwares like CAD, CAE to develop appropriate models as per the project plan/ customer requirements Test the protype and designs produced on the softwares and check all the boundary conditions (impact analysis, stress analysis etc) Produce specifications and determine operational feasibility by integrating software components into a fully functional software system Create a prototype as per the engineering drawings & outline CAD model is...

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to fe...

As a Software Engineer - Cloud Data Platform (Azure) at Incedo, you will be responsible for managing and optimizing the Microsoft Azure environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or GCP and have experience with data warehousing technologies such as Azure Synapse Analytics. You will be responsible for configuring and optimizing the Azure environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team t...

Job Description Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client qu...

Business Operations is leading the DevOps transformation at Mastercard through our tooling and by being an advocate for change & standards throughout the development, quality, release, and product organizations. We need team members with an appetite for change and pushing the boundaries of what can be done with automation. Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must. Mastercard looking for a BizOps SRE who would be responsible for supporting, deploying, configuring and maintaining Hadoop applications, jobs and BI reports. Essential Duties and Responsibilities include the following: Keeping a track of all the...

Education/Experience: Bachelor's degree in computer science or equivalent training required. Big Data Engineer: 4-6 Years Experience in developing Big Data processing applications on Azure Databricks. Profound experience with developing Big Data applications using Spark and Scala/Python. Good experience in working with Databricks components, Infrastructure as Code tools like Terraform. Good experience in Airflow and Kubernetes. Develop highly scalable and extensible Big Data platform which enables collection, storage, modelling, and analysis of massive data sets from numerous data sources. Should have very good knowledge on SQL Programming and ETL Data Warehousing concepts. Good understandin...

You should have: Experience with cloud database platforms, e.g. Azure SQL Database, Snowflake etc, or on-prem database platforms like MS SQL server, and have good SQL skills Experience working with Azure Data Factory (ADF). Experience with data modelling. Experience of working with a variety of stakeholders including product owners, delivery managers and architects. Experience with performance tuning and relational database design particularly in the development of business intelligence solutions. Experience with data migration strategies from on premise to cloud. Experience with Data Warehouse concepts. Experience of communicating and documenting technical design proposals. Experience with ...