660 Bigquery Jobs - Page 6

Role: Looker Developer Primary Skill :-Looker Studio and BigQuery

Essential Responsibilities: Architecture & Design Define and document the overall data platform architecture in GCP, including ingestion (Pub/Sub, Dataflow), storage (BigQuery, Cloud Storage), and orchestration (Composer, Workflows). Establish data modeling standards (star/snowflake schemas, partitioning, clustering) to optimize performance and cost. Platform Implementation Build scalable, automated ETL/ELT pipelines for IoT telemetry and events. Implement streaming analytics and CDC where required to support real-time dashboards and alerts. Data Products & Exchange Collaborate with data scientists and product managers to package curated datasets and ML feature tables as consumable data products. Architect and enforce a secure, governed data exchange layerleveraging BigQuery Authorized Views, Data Catalog, and IAMto monetize data externally. Cost Management & Optimization Design cost-control measures: table partitioning/clustering, query cost monitoring, budget alerts, and committed-use discounts. Continuously analyze query performance and storage utilization to drive down TCO. Governance & Security Define and enforce data governance policies (cataloging, lineage, access controls) using Cloud Data Catalog and Cloud IAM. Ensure compliance with privacy, security, and regulatory requirements for internal and external data sharing. Stakeholder Enablement Partner with business stakeholders to understand data needs and translate them into platform capabilities and SLAs. Provide documentation, training, and self-service tooling (Data Studio templates, APIs, notebooks) to democratize data access. Mentorship & Leadership Coach and mentor engineers on big data best practices, SQL optimization, and cloud-native architecture patterns. Lead architecture reviews, proof-of-concepts, and pilot projects to evaluate emerging technologies (e.g., BigQuery Omni, Vertex AI). What You'll Bring to Our Team Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 8+ years designing and operating large-scale data platforms, with at least 5 years hands-on experience in GCP (BigQuery, Dataflow, Pub/Sub). Deep expertise in BigQuery performance tuning, data partitioning/clustering, and cost-control techniques. Proven track record building streaming and batch pipelines (Apache Beam, Dataflow, Spark). Strong SQL skills and experience with data modeling for analytics. Familiarity with data governance tools: Data Catalog, IAM, VPC Service Controls. Experience with Python or Java for ETL/ELT development. Excellent communication skills, able to translate technical solutions for non-technical stakeholders.

About this role: Wells Fargo is seeking a Lead Software Engineer within the Enterprise Application & Cloud Transformation team. In this role, you will: Lead complex technology Cloud initiatives including those that are companywide with broad impact. Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code. Make decisions in developing standards and companywide best practices for engineering and large-scale technology solutions. Design, Optimization and Documentation of the Engineering aspects of the Cloud platform. Understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives. Review and analyze complex, large-scale technology solutions in Cloud for strategic business objectives and solving technical challenges that require in-depth evaluation of multiple parameters, including intangibles or unprecedented technical factors. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Build and Enable cloud infrastructure, automate the orchestration of the entire GCP Cloud Platforms for Wells Fargo Enterprise. Working in a globally distributed team to provide innovative and robust Cloud centric solutions. Closely working with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations. Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3+ years working with GCP and a proven track record of building complex infrastructure programmatically with IaC tools. Must have 2+ years of hands-on experience with Infrastructure as Code tool Terraform and GitHub. Must have professional cloud certification on GCP. Proficient on container-based solution services, have handled at least 2-3 large scale Kubernetes based Infrastructure build out, provisioning of services GCP. Exposure to services like GKE, Cloud functions, Cloud Run, Cloud Build, Artifactory etc. Infrastructure and automation technologies: Orchestration, Harness, Terraform, Service Mesh, Kubernetes, API development, Test Driven Development Sound knowledge on the following areas with an expertise on one of them - 1. Proficient and have a thorough understanding of Cloud service offerings on Storage and Database. 2. Should have good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to cloud security, AD, authentication methods, RBAC. 3. Proficient and have a thorough understanding of Cloud service offerings on Data, Analytics, AI/ML. Exposure to Analytics AIML services like BigQuery, Vertex AI, Data Proc etc. 4. Proficient and have a thorough understanding of Cloud service offerings on Security, Data Protection and Security policy implementations. Thorough understanding of landing zone and networking, Security best practices, Monitoring and logging, Risk and controls. Should have good understanding on Control Plane, Azure Arc and Google Anthos. Experience working in Agile environment and product backlog grooming against ongoing engineering work Enterprise Change Management and change control, experience working within procedural and process driven environment Desired Qualifications: Should have exposure to Cloud governance and logging/monitoring tools. Experience with Agile, CI/CD, DevOps concepts and SRE principles. Experience in scripting (Shell, Python, Go) Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure. Delivery focus and willingness to work in a fast-paced, enterprise environment.

The Digital and eCommerce team currently operates several B2B websites and direct digital sales channels via a globally deployed cloud-based platform that are a growth engine for org's life science business. We provide a comprehensive catalog of all products, enabling our customers to find products and purchase products as well as get detailed scientific information on those products. ESSENTIAL JOB FUNCTIONS Work as part of an Agile development team, taking ownership for one or more services Provides leadership to the Agile Development team, driving technical designs to support business goals Ensuring the entire team exemplifies excellence in design, code, test and operation A willingness to lead by example embracing change and foster a Growth and Learning culture on the team Mentoring team members through code review, design reviews Taking a lead role, working with product owners to help refine the backlog, breaking down features and epics into executable stories Have a high quality software mindset making sure that the code you write works Design and implement robust data pipelines to ingest, process, and store large volumes of data from various sources. Stay updated with the latest technologies and trends in data engineering and propose innovative solutions. QUALIFICATIONS Education: Bachelors/Masters degree in computer science or equivalent. Mandatory Skills: 8-10+ years of hands-on software engineering experience Recent experience in Java, Kotlin, Oracle, Postgres, Data handling, Spring, Spring Boot Experience in developing REST services. Experience in unit test frameworks. Ability to provide solutions based on business requirements. Ability to collaborate with cross-functional teams. Ability to work with global teams and a flexible work schedule. Must have excellent problem-solving skills and be customer-centric. Excellent communication skills. Preferred Skills: Experience with Microservices, CI/CD, Event Oriented Architectures and Distributed Systems Experience with cloud environments (e.g., Google Cloud Platform, Azure, Amazon Web Services, etc.) Experience leading product oriented engineering development teams is a plus Familiarity with web technologies (e,g,, JavaScript, HTML, CSS), data manipulation (e.g., SQL), and version control systems (e.g., GitHub, GitLab) Familiarity with DevOps practices/principles, Agile/Scrum methodologies, CI/CD pipelines and the product development lifecycle Familiarity with modern web APIs and full stack frameworks. Experience with Docker, Kubernetes, Kafka, in memory caching is a plus Experience with Apache Airflow, Apache Flink, Google BigQuery is a plus Experience developing eCommerce systems especially B2B eCommerce is a plus.

Job Purpose As a key member of the DTS team, you will primarily collaborate closely with a leading global hedge fund on data engagements. Contribute to a variety of Development initiatives, focusing on cloud migration, automation, and application development, delivering scalable, efficient, and secure solutions, implementing DevOps best practices in multi-cloud environments, with a strong emphasis on Google Cloud Platform (GCP). Desired Skills and Experience Essential skills Bachelor's degree in computer science, Engineering, or a related field. 3+ experience in software development using C#, MSSQL, Python, and GCP/BigQuery. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience in code reviews and maintaining code quality. Ability to mentor and guide junior developers. Key Responsibilities Design and Development: Contribute to the design and development of innovative software solutions that meet business requirements. Application Development: Develop and maintain applications using specified technologies such as C#, MSSQL, Python, and GCP/BigQuery. Code Reviews: Participate in code reviews to ensure high-quality code and adherence to best practices. Troubleshooting: Troubleshoot and resolve technical issues promptly to ensure smooth operation of applications. Collaboration: Collaborate with cross-functional teams to integrate software solutions and achieve project goals. Mentorship: Provide technical guidance and mentorship to junior team members, fostering their growth and development. Key Metrics C#, MSSQL, Python GCP/BigQuery Exposure to Devops Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Job Description Position: GCP Dialogflow Location : Anywhere in India Work Mode : Hybrid/Remote Locations: Bangalore, Pune, Chennai, Hyderabad or Gurgaon then they might have to come to the office. 1-5+ years of experience in software design and development 1 years of experience in the data engineering field is preferred 1+ years of Hands-on experience in GCP cloud data implementation suite such as Big Query, Pub Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage, Experience in dialog flow and java programming is must Strong experience and understanding of very large-scale data architecture, solutioning, and operationalization of data warehouses, data lakes, and analytics platforms. Hands on Strong Experience in the below technology 1. GBQ Query 2. Python 3. Apache Airflow 4. SQL (BigQuery preferred) 5. Dialogflow Extensive hands-on experience working with data using SQL and Python Cloud Functions. Comparable skills in AWS and other cloud Big Data Engineering space is considered. Experience with agile development methodologies Excellent verbal and written communications skills with the ability to clearly present ideas, concepts, and solutions Bachelor's Degree in Computer Science, Information Technology, or closely related discipline

Role & responsibilities We are looking for a highly skilled Data Engineers with 5 to 9 years of experience in data engineering specializing in PySpark, Python, GCP, IAM CS DataProc BigQuery SQL Airflow and building data pipelines Handling TerabyteScale Data Processing The ideal candidate will have a strong background in designing developing and maintaining scalable data pipelines and architectures Key Responsibilities Design develop and maintain scalable data pipelines using PySpark, Python, GCP, and Airflow Implement data processing workflows and ETL processes to extract transform and load data from various sources into data lakes and data warehouses Manage and optimize data storage solutions using GCP services TerabyteScale Data Processing Developed and optimized PySpark code to handle terabytes of data efficiently Implemented performance tuning techniques to reduce processing time and improve resource utilization Data Lake Implementation Built a scalable data lake on GCP CS to store and manage structured and unstructured data Data Quality Framework Developed a data quality framework using PySpark and GCP to perform automated data validation and anomaly detection Improved data accuracy and reliability for downstream analytics Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver highquality data solutions Perform data quality checks and validation to ensure data accuracy and consistency Monitor and troubleshoot data pipelines to ensure smooth and efficient data processing Stay updated with the latest industry trends and technologies in data Preferred candidate profile

Design, build, Job Title: Data Engineer / Integration Engineer Job Summary: We are seeking a highly skilled Data Engineer / Integration Engineer to join our team. The ideal candidate will have expertise in Python, workflow orchestration, cloud platforms (GCP/Google BigQuery), big data frameworks (Apache Spark or similar), API integration, and Oracle EBS. The role involves designing, developing, and maintaining scalable data pipelines, integrating various systems, and ensuring data quality and consistency across platforms. Knowledge of Ascend.io is a plus. Key Responsibilities: Design, build, and maintain scalable data pipelines and workflows. Develop and optimize ETL/ELT processes using Python and workflow automation tools. Implement and manage data integration between various systems, including APIs and Oracle EBS. Work with Google Cloud Platform (GCP) or Google BigQuery (GBQ) for data storage, processing, and analytics. Utilize Apache Spark or similar big data frameworks for efficient data processing. Develop robust API integrations for seamless data exchange between applications. Ensure data accuracy, consistency, and security across all systems. Monitor and troubleshoot data pipelines, identifying and resolving performance issues. Collaborate with data analysts, engineers, and business teams to align data solutions with business goals. Document data workflows, processes, and best practices for future reference. Required Skills & Qualifications: Strong proficiency in Python for data engineering and workflow automation. Experience with workflow orchestration tools (e.g., Apache Airflow, Prefect, or similar). Hands-on experience with Google Cloud Platform (GCP) or Google BigQuery (GBQ) . Expertise in big data processing frameworks , such as Apache Spark . Experience with API integrations (REST, SOAP, GraphQL) and handling structured/unstructured data. Strong problem-solving skills and ability to optimize data pipelines for performance. Experience working in an agile environment with CI/CD processes. Strong communication and collaboration skills. Preferred Skills & Nice-to-Have: Experience with Ascend.io platform for data pipeline automation. Knowledge of SQL and NoSQL databases . Familiarity with Docker and Kubernetes for containerized workloads. Exposure to machine learning workflows is a plus. Why Join Us? Opportunity to work on cutting-edge data engineering projects. Collaborative and dynamic work environment. Competitive compensation and benefits. Professional growth opportunities with exposure to the latest technologies. How to Apply: Interested candidates can apply by sending their resume to 8892751405 / deekshith.naidu@estuate.com or through Naukri

Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years fulltime education Share CV on - neha.mandal@mounttalent.com Summary: As an Application Lead for Packaged Application Development, you will be responsible for leading the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve working with Snowflake Data Warehouse and collaborating with cross-functional teams to deliver high-quality solutions. Roles & Responsibilities: - Lead the design, development, and implementation of applications using Snowflake Data Warehouse. - Collaborate with cross-functional teams to ensure the delivery of high-quality solutions that meet business requirements. - Act as the primary point of contact for all application-related issues, providing technical guidance and support to team members. - Ensure that all applications are designed and developed in accordance with industry best practices and standards. - Provide technical leadership and mentorship to team members, ensuring that they have the necessary skills and knowledge to deliver high-quality solutions. Professional & Technical Skills: - Must To Have Skills: Strong experience in Snowflake Data Warehouse. - Good To Have Skills: Experience in other data warehousing technologies such as Redshift, BigQuery, or Azure Synapse Analytics. - Experience in designing and developing applications using Snowflake Data Warehouse. - Strong understanding of data warehousing concepts and best practices. - Experience in working with cross-functional teams to deliver high-quality solutions. - Excellent communication and interpersonal skills.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Summary: As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing cloud or on-prem application pipelines, and ensuring production-ready quality. You will also work with deep learning, neural networks, chatbots, and image processing. Key Responsibilities : A: Demonstrate various Google specific Designs using effective POCs, as per client requirements. B: Identifying applicability of Google Cloud AI services to use cases with ability to project both the business and tech benefits. C: Design, build and productionizes ML models to solve business challenges using Google Cloud technologies D: Lead and guide team of data scientists E: Coordinating and collaborating with cross-functional teams Technical Experience : A: Min 3 + years of experience on GCP AWS ML B: Exposure to Google Gen AI Services C: Exposure to GCP and its Compute, Storage, Data, Network, Security services D: Expert programming skills in any one of Java, Python, Spark E: Knowledge of GKE, Kubeflow on GCP would be good to have G: Experience in Vertex AI for building and managing the ML models H: Experience in implementing MLOps Location: Pan India

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Google Cloud Platform Architecture Summary: As a Cloud Platform Architect, you will be responsible for overseeing application architecture and deployment in cloud platform environments, including public cloud, private cloud, and hybrid cloud. Your typical day will involve designing cloud adoption plans, managing and monitoring cloud applications, and ensuring cloud application design meets business requirements. Roles & Responsibilities: - Design and implement cloud adoption plans, including public cloud, private cloud, and hybrid cloud environments. - Oversee cloud application design, ensuring it meets business requirements and aligns with industry best practices. - Manage and monitor cloud applications, ensuring they are secure, scalable, and highly available. - Collaborate with cross-functional teams to ensure cloud applications are integrated with other systems and services. - Stay up-to-date with the latest advancements in cloud technology, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Google Cloud Platform Architecture. - Good To Have Skills: Experience with other cloud platforms such as AWS or Azure. - Experience in designing and implementing cloud adoption plans. - Strong understanding of cloud application design and architecture. - Experience in managing and monitoring cloud applications. - Solid grasp of cloud security, scalability, and availability best practices.

JOB DESCRIPTION POSITION NAME Business Analyst DESIGNATION Senior Manager / Chief Manager POSITION GRADE L4 / L5 DEPARTMENT New Business SUB DEPARTMENT New Business Projects REPORTING POSITION AVP OBJECTIVE OF THE ROLE KEY RESPONSIBILITIES Should be able to multitask and manage various projects Should be able to evaluate business processes, anticipate requirements, uncover areas for improvement, and developing and implementing solutions. Should be able to communicate the documented business requirements with the technical team. Reviewing FSD prepared by IT and ensuring all client requirements are met Should be able to prepare and review manual test scenarios and test cases Should be able to liase with IT / vendors for their project deliveries/bugs etc. Leading UAT team for project closure ensuring that complete functional and regression testing is done before go live Ensuring smooth deployment and monitoring in production end ensuring post production signoff Maintaining project tracker INTERACTIONS Internal Relations New Business Team, Other Projects Team, IT Team External Relations IT vendors such as CTS, Hansa, Posidex REQUIRED QUALIFICATION AND SKILLS Educational Qualifications Graduate in Science / IT / Postgraduate in Science/ IT/ MBA Work Experience Should have atleast 5 years + work experience as project management preferably in the BFSI domain (Experience in Insurance domain would be added advantage) Certifications Testing certificate Other skill set Team management capability Should be aggressive and take responsibility of completing multiple projects within defined timelines Should have good oral and written communication skills Should be able to analyse all outcomes of a situation and take steps accordingly

SUMMARY Job Summary: Exciting job opportunity as a Registered Nurse in Qatar (Homecare) Key Responsibilities: Develop and assess nursing care plans Monitor vital signs and assess holistic patient needs Collaborate with physicians, staff nurses, and healthcare team members Administer oral and subcutaneous medications while ensuring safety Document nursing care, medications, and procedures using the company's Nurses Buddy application Conduct client assessment and reassessment using approved tools Attend refresher training courses, seminars, and training Timeline for Migration: Application to Selection: Not more than 5 days Data flow & Prometric: 1 month Visa processing: 1-2 months Start working in Qatar within 3 months! Requirements: Educational Qualification: Bachelor's Degree in Nursing or GNM Experience: Minimum 2 years working experience as a Nurse post registration Citizenship: Indian Age limit: 18 to 40 years Certification: registration Certification from Nursing Council Language: Basic English proficiency required Technical Skills: Bed side nursing, patient care, patient assessment and monitoring Benefits: High Salary & Perks: Earn 5000 QAR / month (1,18,000 INR/month) Tax Benefit: No tax deduction on salary Career Growth: Advanced Nursing career in Qatar with competitive salaries, cutting-edge facilities, and opportunities for specialization Relocation support: Visa process and flight sponsored. Free accommodation and transportation provided. International Work Experience: Boost your resume with International healthcare expertise. Comprehensive Health Insurance: Medical coverage for under Qatar’s healthcare system. Safe and stable environment: Qatar is known for its low crime rate, political stability, and high quality of life. The strict laws in the country, makes it one of safest place to live. Faster Visa Processing With efficient government procedures, work visas for nurses are processed quickly, reducing waiting times. Simplified Licensing Process Compared to other countries, Qatar offers a streamlined process for obtaining a nursing license through QCHP (Qatar Council for Healthcare Practitioners) . Direct Hiring Opportunities Many hospitals and healthcare facilities offer direct recruitment , minimizing third-party delays and complications. Limited slots available! Apply now to secure your place in the next batch of Nurses migrating to Qatar!

SUMMARY Job Summary: Exciting job opportunity as a Registered Nurse in Qatar (Homecare) Key Responsibilities: Develop and assess nursing care plans Monitor vital signs and assess holistic patient needs Collaborate with physicians, staff nurses, and healthcare team members Administer oral and subcutaneous medications while ensuring safety Document nursing care, medications, and procedures using the company's Nurses Buddy application Conduct client assessment and reassessment using approved tools Attend refresher training courses, seminars, and training Timeline for Migration: Application to Selection: Not more than 5 days Data flow & Prometric: 1 month Visa processing: 1-2 months Start working in Qatar within 3 months! Requirements: Educational Qualification: Bachelor's Degree in Nursing or GNM Experience: Minimum 2 years working experience as a Nurse post registration Citizenship: Indian Age limit: 18 to 40 years Certification: registration Certification from Nursing Council Language: Basic English proficiency required Technical Skills: Bed side nursing, patient care, patient assessment and monitoring Benefits: High Salary & Perks: Earn 5000 QAR / month (1,18,000 INR/month) Tax Benefit: No tax deduction on salary Career Growth: Advanced Nursing career in Qatar with competitive salaries, cutting-edge facilities, and opportunities for specialization Relocation support: Visa process and flight sponsored. Free accommodation and transportation provided. International Work Experience: Boost your resume with International healthcare expertise. Comprehensive Health Insurance: Medical coverage for under Qatar’s healthcare system. Safe and stable environment: Qatar is known for its low crime rate, political stability, and high quality of life. The strict laws in the country, makes it one of safest place to live. Faster Visa Processing With efficient government procedures, work visas for nurses are processed quickly, reducing waiting times. Simplified Licensing Process Compared to other countries, Qatar offers a streamlined process for obtaining a nursing license through QCHP (Qatar Council for Healthcare Practitioners) . Direct Hiring Opportunities Many hospitals and healthcare facilities offer direct recruitment , minimizing third-party delays and complications. Limited slots available! Apply now to secure your place in the next batch of Nurses migrating to Qatar!

A Data Platform Engineer specialises in the design, build, and maintenance of cloud-based data infrastructure and platforms for data-intensive applications and services. They develop Infrastructure as Code and manage the foundational systems and tools for efficient data storage, processing, and management. This role involves architecting robust and scalable cloud data infrastructure, including selecting and implementing suitable storage solutions, data processing frameworks, and data orchestration tools. Additionally, a Data Platform Engineer ensures the continuous evolution of the data platform to meet changing data needs and leverage technological advancements, while maintaining high levels of data security, availability, and performance. They are also tasked with creating and managing processes and tools that enhance operational efficiency, including optimising data flow and ensuring seamless data integration, all of which are essential for enabling developers to build, deploy, and operate data-centric applications efficiently. Job Description - Grade Specific An expert on the principles and practices associated with data platform engineering, particularly within cloud environments, and demonstrates proficiency in specific technical areas related to cloud-based data infrastructure, automation, and scalability.Key responsibilities encompass:Team Leadership and Management: Supervising a team of platform engineers, with a focus on team dynamics and the efficient delivery of cloud platform solutions.Technical Guidance and Decision-Making: Providing technical leadership and making pivotal decisions concerning platform architecture, tools, and processes. Balancing hands-on involvement with strategic oversight.Mentorship and Skill Development: Guiding team members through mentorship, enhancing their technical proficiencies, and nurturing a culture of continual learning and innovation in platform engineering practices.In-Depth Technical Proficiency: Possessing a comprehensive understanding of platform engineering principles and practices, and demonstrating expertise in crucial technical areas such as cloud services, automation, and system architecture.Community Contribution: Making significant contributions to the development of the platform engineering community, staying informed about emerging trends, and applying this knowledge to drive enhancements in capability.

A Data Platform Engineer specialises in the design, build, and maintenance of cloud-based data infrastructure and platforms for data-intensive applications and services. They develop Infrastructure as Code and manage the foundational systems and tools for efficient data storage, processing, and management. This role involves architecting robust and scalable cloud data infrastructure, including selecting and implementing suitable storage solutions, data processing frameworks, and data orchestration tools. Additionally, a Data Platform Engineer ensures the continuous evolution of the data platform to meet changing data needs and leverage technological advancements, while maintaining high levels of data security, availability, and performance. They are also tasked with creating and managing processes and tools that enhance operational efficiency, including optimising data flow and ensuring seamless data integration, all of which are essential for enabling developers to build, deploy, and operate data-centric applications efficiently. Job Description - Grade Specific A strong grasp of the principles and practices associated with data platform engineering, particularly within cloud environments, and demonstrates proficiency in specific technical areas related to cloud-based data infrastructure, automation, and scalability.Key responsibilities encompass:Community Engagement: Actively participating in the professional data platform engineering community, sharing insights, and staying up-to-date with the latest trends and best practices.Project Contributions: Making substantial contributions to client delivery, particularly in the design, construction, and maintenance of cloud-based data platforms and infrastructure.Technical Expertise: Demonstrating a sound understanding of data platform engineering principles and knowledge in areas such as cloud data storage solutions (e.g., AWS S3, Azure Data Lake), data processing frameworks (e.g., Apache Spark), and data orchestration tools.Independent Work and Initiative: Taking ownership of independent tasks, displaying initiative and problem-solving skills when confronted with intricate data platform engineering challenges.Emerging Leadership: Commencing leadership roles, which may encompass mentoring junior engineers, leading smaller project teams, or taking the lead on specific aspects of data platform projects.

SUMMARY Job Summary: Exciting job opportunity as a Registered Nurse in Qatar (Homecare) Key Responsibilities: Develop and assess nursing care plans Monitor vital signs and assess holistic patient needs Collaborate with physicians, staff nurses, and healthcare team members Administer oral and subcutaneous medications while ensuring safety Document nursing care, medications, and procedures using the company's Nurses Buddy application Conduct client assessment and reassessment using approved tools Attend refresher training courses, seminars, and training Timeline for Migration: Application to Selection: Not more than 5 days Data flow & Prometric: 1 month Visa processing: 1-2 months Start working in Qatar within 3 months! Requirements: Educational Qualification: Bachelor's Degree in Nursing or GNM Experience: Minimum 2 years working experience as a Nurse post registration Citizenship: Indian Age limit: 18 to 40 years Certification: registration Certification from Nursing Council Language: Basic English proficiency required Technical Skills: Bed side nursing, patient care, patient assessment and monitoring Benefits: High Salary & Perks: Earn 5000 QAR / month (1,18,000 INR/month) Tax Benefit: No tax deduction on salary Career Growth: Advanced Nursing career in Qatar with competitive salaries, cutting-edge facilities, and opportunities for specialization Relocation support: Visa process and flight sponsored. Free accommodation and transportation provided. International Work Experience: Boost your resume with International healthcare expertise. Comprehensive Health Insurance: Medical coverage for under Qatar’s healthcare system. Safe and stable environment: Qatar is known for its low crime rate, political stability, and high quality of life. The strict laws in the country, makes it one of safest place to live. Faster Visa Processing With efficient government procedures, work visas for nurses are processed quickly, reducing waiting times. Simplified Licensing Process Compared to other countries, Qatar offers a streamlined process for obtaining a nursing license through QCHP (Qatar Council for Healthcare Practitioners) . Direct Hiring Opportunities Many hospitals and healthcare facilities offer direct recruitment , minimizing third-party delays and complications. Limited slots available! Apply now to secure your place in the next batch of Nurses migrating to Qatar!

About Client Hiring for One of the Most Prestigious Multinational Corporations Job Title: Senior GCP Data Engineer Experience: 8 to 13 years Key Responsibilities : Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP) . Develop ETL/ELT workflows using Cloud Dataflow , Apache Beam , Dataproc , BigQuery , and Cloud Composer (Airflow). Optimize performance of data processing and storage solutions (e.g., BigQuery, Cloud Storage). Collaborate with data analysts, data scientists, and business stakeholders to deliver data-driven insights. Design and implement data lake and data warehouse solutions following best practices. Ensure data quality, security, and governance across GCP environments. Implement CI/CD pipelines for data engineering workflows using tools like Cloud Build , GitLab CI , or Jenkins . Monitor and troubleshoot data jobs, ensuring reliability and timeliness of data delivery. Mentor junior engineers and participate in architectural design discussions. Technical Skills: Strong experience in Google Cloud Platform (GCP) data services: BigQuery , Dataflow , Dataproc , Pub/Sub , Cloud Storage , Cloud Functions Proficiency in Python and/or Java for data processing. Strong knowledge of SQL and performance tuning in large-scale environments. Hands-on experience with Apache Beam , Apache Spark , and Airflow . Solid understanding of data modeling , data warehousing , and streaming/batch processing . Experience with CI/CD , Git, and modern DevOps practices for data workflows. Familiarity with data security and compliance in cloud environments. NOTE : Only immediate and 15 days joiners Notice period : Only immediate and 15 days joiners Location: Pune, Chennai. Hyderabad, Kolkata Mode of Work : WFO(Work From Office) Thanks & Regards, SWETHA Black and White Business Solutions Pvt.Ltd. Bangalore,Karnataka,INDIA. Contact Number:8067432433 rathy@blackwhite.in |www.blackwhite.in

Job Description: : GCP Data Engineer With Big Query Experience Required: 5+ years Location : PAN India (Hybrid) Notice Period : Immediate Mandatory Skills(ONLY 2 or 3) GCP Big Query with Strong SQL Experience Detailed job description - Skill Set: Designing, developing and maintaining data models and transformations using DBT Data Build Tool to ensure efficient and accurate data consumption for analytics and reporting Manage, monitor and ensure the security and privacy of data to satisfy business needs Knowledgeable in PowerShell scripting Creation of DAGs to migrate the logic from GCP Big Query to DBT Designing, building and optimizing data solutions using GCP Big Query platform including creating ETL pipelines Unit and Integration Testing activities Strong hands-on exposure to GCP Big Query

Canterr is looking for talented and passionate professionals for exciting opportunities with a US-based MNC product company! You will be working permanently with Canterr and deployed to a top-tier global tech client. Key Responsibilities: Design and develop data pipelines and ETL processes to ingest, process, and store large volumes of data. Implement and manage big data technologies such as Kafka, Dataflow, BigQuery, CloudSQL, Kafka, PubSub Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions. Monitor and troubleshoot data pipeline issues and implement solutions to prevent future occurrences. Required Skills and Experience: Generally, we use Google Cloud Platform (GCP) for all software deployed at Wayfair. Data Storage and Processing BigQuery CloudSQL PostgreSQL DataProc Pub/Sub Data modeling: Breaking the business requirements (KPIs) to data points. Building the scalable data model ETL Tools: DBT SQL Data Orchestration and ETL Dataflow Cloud Composer Infrastructure and Deployment Kubernetes Helm Data Access and Management Looker Terraform Ideal Business Domain Experience: Supply chain or warehousing experience: The project is focused on building a normalized data layer which ingests information from multiple Warehouse Management Systems (WMS) and projects it for back-office analysis

Data Architect with Cloud Expert, Data Architecture, Data Integration & Data Engineering ETL/ELT - Talend, Informatica, Apache NiFi. Big Data - Hadoop, Spark Cloud platforms (AWS, Azure, GCP), Redshift, BigQuery Python, SQL, Scala,, GDPR, CCPA

Diacto is seeking an experienced and highly skilled Data Architect to lead the design and development of scalable and efficient data solutions. The ideal candidate will have strong expertise in Azure Databricks, Snowflake (with DBT, GitHub, Airflow), and Google BigQuery. This is a full-time, on-site role based out of our Baner, Pune office. Qualifications: B.E./B.Tech in Computer Science, IT, or related discipline MCS/MCA or equivalent preferred Key Responsibilities: Design, build, and optimize robust data architecture frameworks for large-scale enterprise solutions Architect and manage cloud-based data platforms using Azure Databricks, Snowflake, and BigQuery Define and implement best practices for data modeling, integration, governance, and security Collaborate with engineering and analytics teams to ensure data solutions meet business needs Lead development using tools such as DBT, Airflow, and GitHub for orchestration and version control Troubleshoot data issues and ensure system performance, reliability, and scalability Guide and mentor junior data engineers and developers

Experience Aplenty: 8+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools like Azure Pipelines, BigQuery, MFT, Vault, SSIS, SSRS, SQL, & Google DataFlow. Workflow management and orchestration tools such as Airflow. Experience with object function/object-oriented scripting languages including Java and Python. Working knowledge of Snowflake and Google DataFlow a definite plus! Business Acumen: Translate business needs into technical requirements with finesse, showcasing your ability to balance technical excellence with customer satisfaction. Team Player: Collaborate seamlessly with the team, responding to requests in a timely manner, meeting individual commitments, and contributing to the collective success. Mentor Extraordinaire: Leverage your coaching and teaching skills to guide and mentor your fellow team members, fostering an environment of continuous improvement. Please apply here also- https://corelogic.wd5.myworkdayjobs.com/ACQ/job/Noida-Uttar-Pradesh/Lead-Data-Engineer_REQ15827

What Youll Do: Play a key role in developing and driving a multi-year technology strategy for a complex platform Directly and indirectly manage several senior software engineers (architects) and managers by providing coaching, guidance, and mentorship to grow the team as well as individuals Lead multiple software development teams - architecting solutions at scale to empower the business, and owning all aspects of the SDLC: design, build, deliver, and maintain Inspire, coach, mentor, and support your team members in their day to day work and their long term professional growth Attract, onboard, develop and retain diverse top talents, while fostering an inclusive and collaborative team and culture (our latest DEI Report) Lead your team and peers by example. As a senior member of the team your methodologies, technical and operational excellence practices, and system designs will help to continuously improve our domain Identify, propose, and drive initiatives to advance the technical skills, standards, practices, architecture, and documentation of our engineering teams Facilitate technical debate and decision making with an appreciation for trade-offs Continuously rethink and push the status quo, even when it challenges your/our established ideas. Preferred candidate profile Results-oriented, collaborative, pragmatic, and continuous improvement mindset Hands-on experience driving software transformations within high-growth environments (think complex, cross-continentally owned products) 15+ years of experience in engineering, out of which at least 10 years spent in leading highly performant teams and their managers (please note that a minimum of 5 years in leading fully fledged managers is required) Experience making architectural and design-related decisions for large scale platforms, understanding the tradeoffs between time-to-market vs. flexibility Significant experience and vocation in managing and enabling peoples growth and performance Experience designing and building high-scale generalizable products with outstanding user experience. Practical experience in hiring and developing engineering teams and culture and leading interdisciplinary teams in a fast-paced agile environment Capability to communicate and collaborate across the wider organization, influencing decisions with and without direct authority and always with inclusive, adaptable, and persuasive communication Analytical and decision-making skills that integrate technical and business requirements

Job Summary This position provides leadership in full systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.) to ensure delivery is on time and within budget. He/She directs component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance. This position develops and leads AD project activities and integrations. He/She guides teams to ensure effective communication and achievement of objectives. This position researches and supports the integration of emerging technologies. He/She provides knowledge and support for applications development, integration, and maintenance. This position leads junior team members with project related activities and tasks. He/She guides and influences department and project teams. This position facilitates collaboration with stakeholders. Responsibilities: GCP services (like Big Query, GKE, Spanner, Cloud run, Data flow etc.,) Angular, Java (Rest Api), SQL, Python, Terraforms, Azure DevOps CICD Pipelines Leads systems analysis and design. Leads design and development of applications. Develops and ensures creation of application documents. Defines and produces integration builds. Monitors emerging technology trends. Leads maintenance and support. Primary Skills: Minimum 5 years Java-Springboot/J2EE (Full Stack Developer) Minimum 2 years in GCP platform (Cloud PubSub, GKE, BigQuery) - Experience in BigTable and Spanner will be a plus Working in Agile environment, CI/CD experience. Qualifications: Bachelors Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred