5583 Bigquery Jobs - Page 46

Strong hands-on experience with SQL, Python , and data orchestration frameworks (e.g., Airflow, dbt, Cloud Composer). Proficiency in GCP data stack especially BigQuery, Dataflow, Pub/Sub, and Dataproc . Familiarity with Vertex AI, vector databases , and RAG (Retrieval-Augmented Generation) pipelines is a strong plus.

We are Hiring "GCP Data Architect" Take a look below for more details: Job Title: GCP Data Architect Location: Pan India (Hybrid) Experience: 10+ years Notice period: Immediate to 15 Days NOTE: Not serving notice period & notice period more than 30 Days profiles will not be consider. Overview: Were looking for a GCP Data Architect to lead design of data warehouse modernization, pipeline transformation, and analytics enablement. Includes business collaboration, documentation, and governance. Key Responsibilities:- Design lakehouse architectures using GCP stack. - Lead batch/streaming pipeline design. - Guide migration and platform integration. - Lead workshops, requirement gathering, HLD, LLD...

Roles and Responsibilities : Proficiency in building highly scalable ETL and streaming-based data pipelines using Google Cloud Platform (GCP) services and products like Biquark, Cloud Dataflow Proficiency in large scale data platforms and data processing systems such as Google Big Query, Amazon Redshift, Azure Data Lake Excellent Python, PySpark and SQL development and debugging skills, exposure to other Big Data frameworks like Hadoop Hive would be added advantage Experience building systems to retrieve and aggregate data from event-driven messaging frameworks (e.g. RabbitMQ and Pub/Sub) Preferred Skills : Advanced working SQL knowledge and experience working with relational databases, quer...

SUMMARY Key Responsibilities 1. Modeling, Analysis, & Experimentation Design, develop, and implement various Machine Learning (ML) models (e.g., predictive, prescriptive, clustering) to solve complex business problems across areas like demand forecasting, customer segmentation, or risk analysis. Conduct complex Exploratory Data Analysis (EDA) using statistical methodologies and advanced visualization techniques to uncover insights and define metrics. Develop and manage rigorous A/B testing frameworks and experiments to validate hypotheses and measure the impact of deployed models. Translate ambiguous business questions and large datasets into clear, actionable data science roadmaps and deliv...

Lead the technical design and implementation strategy for major systems and components of AEP Knowledge Base and the Agentic ecosystem. Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP). Knowledge of Vector Stores (FAISS, Pinecone, Weaviate, Milvus). Optimize for quality of data, low latency, high reliability and scalability across enterprise environments. Establish best practices for evaluation, safety, and guardrails for system behavior. Collaborate with research and product teams to integrate modern capabilities into the Platform. Mentor engineers and drive technical excell...

We are seeking a strategic and technically skilled person to join our close-knit global HRIS team. This role will be instrumental in driving data-informed decision-making across the organization by leveraging Workday reporting tools and integrating insights from external analytics platforms. The ideal candidate is passionate about HR data, curious about emerging technologies, and committed to delivering actionable insights. Responsibilities include development of custom reports and dashboards, as well as data/functional auditing and configuration, ensuring integrity of processes and data. Under general direction and in partnership with other HRIS/People Analytics team members, responsible fo...

You will work as part of a development team that designs, builds and maintains high performant and maintainable code. It is a unique and challenging role that calls for a strong passion for quality and technology, while providing an immense opportunity to design and develop wide reaching code. The role includes work on architecture design, business logic, requirements gathering, data modelling and quality assurance. What were looking for We are looking for creative people with a passion for programming and an eye for detail. A recognized academic background in Computer Science Solid experience with Google Cloud Platform, specifically Dataform, BigQuery and Pub/Sub. We prefer candidates who h...

Job Description Job Summary We are seeking an experienced AI/GenAI Solution Architect with expertise in Google Cloud Platform (GCP) to design and implement innovative AI solutions. The ideal candidate will have a strong background in cloud technologies and a passion for developing intelligent applications. Key Responsibilities: Design and architect AI and GenAI solutions on GCP. Create and develop comprehensive architecture diagrams for AI solutions. Develop and deploy machine learning models, ensuring alignment with architectural designs. Manage and preprocess large datasets to support training and evaluation of AI models. Optimize existing AI solutions for performance and scalability. Stay...

Greetings, This is Manasa Jampala from Cerebra Consulting Inc ; we are hiring for below Full-time position. Please send your latest resume at Manasa.jampala@cerebra-consulting.com or call me directly at +91 8143307905. GCP Data Engineer 10+ years of relevant experience required Across India - HYBRID mode 0-30 days Max notice period Only Mandatory skills: Pls look for 10+ Yrs SQL / Python: Performance optimization through SQL/Python, Experience building and optimizing data warehousing data pipelines (ELT and ETL), architectures, and data sets. • Min 3 years Experience with Building Pipelines using GCP-Big-Query • Cloud experience as a GCP Data Engineer • Min 2-3 Experience in working on Large...

Salary: 15 to 25 LPA Exp: 4 to 7 years Location: Gurgaon/Pune/Bengalore Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Dat...

Responsibilities: * Design, develop, and maintain Looker dashboards using LookML and BigQuery data. * Collaborate with stakeholders on data requirements and visualizations BigQuery hands on experience is mandatory.

Overview Job Title: Data Engineer Location: Bangalore/Chennai/Coimbatore/Hyderabad Position: Full-time Department: Annalect Engineering Position Overview Annalect is currently seeking a data engineer to join our technology team. In this role you will build Annalect products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design, and development of software products as well as research and ...

We are seeking a highly skilled and experienced IT Business Analyst to lead and support data-driven digital transformation initiatives across the organization. The ideal candidate will possess a strong background in IT business analysis, advanced data analytics to optimize business processes and outcomes. This role acts as a bridge between technical teams and business stakeholders to ensure that digital transformation strategies are effectively aligned with business goals. This position will be a hands-on role and require someone who is a critical thinker, team player, exceptionally curious, a self-starter, with impeccable attention to detail and can work effectively in a fast-paced environm...

Job description Design and develop robust ETL pipelines using Python, PySpark, and GCP services. Build and optimize data models and queries in BigQuery for analytics and reporting. Ingest, transform, and load structured and semi-structured data from various sources. Collaborate with data analysts, scientists, and business teams to understand data requirements. Ensure data quality, integrity, and security across cloud-based data platforms. Monitor and troubleshoot data workflows and performance issues. Automate data validation and transformation processes using scripting and orchestration tools. Required Skills & Qualification : Hands-on experience with Google Cloud Platform (GCP), especially...

Design and develop robust ETL pipelines using Python, PySpark, and GCP services. Build and optimize data models and queries in BigQuery for analytics and reporting. Ingest, transform, and load structured and semi-structured data from various sources. Collaborate with data analysts, scientists, and business teams to understand data requirements. Ensure data quality, integrity, and security across cloud-based data platforms. Monitor and troubleshoot data workflows and performance issues. Automate data validation and transformation processes using scripting and orchestration tools. Required Skills & Qualification : Hands-on experience with Google Cloud Platform (GCP), especially BigQuery. Stron...

Job Description: Proeffective IT Services Private Limited Job title: GCP Data Engineer Location: Remote (Noida/Bengaluru WFO) Timings: 12 PM 9 PM Terms: Full Time Number of Positions: 1 Skills: GCP (Google Cloud Platform), BigQuery, Airflow (Cloud Composer), Python, SQL, Data Engineering, Data Pipelines, ETL/ELT, Data Warehousing, CI/CD, Data Modeling, Fivetran (Nice to Have), REST API Development, Data Quality Management, Metadata & Data Lineage, Agile/Scrum Methodologies, Stakeholder Collaboration, Mentoring/Leadership Experience: 6+ Years About us: We are committed to empowering businesses with expert IT solutions, consulting, and providing solutions tailored to meet unique needs. Our foc...

Purpose of the role As the Analytics Manager, you will play a vital role in MDS Data & Analytics team supporting the initiatives within the Procurement function of our company. You will collaborate closely with cross-functional teams, including Procurement, marketing, supply chain, and finance, to drive the data strategy and empower Procurement teams with actionable insights that accelerate product development cycles, enhance decision-making, and ultimately contribute to Mondelez's mission of delighting consumers around the world. This position offers an exciting opportunity to work in a dynamic environment working in close partnership with the technical team and business team and manage the...

SUMMARY JOB REQUIREMENTS: 1. Experience Range: Minimum 2 Maximum 7 years 2. Hands-on experience in developing applications using Google AppSheet , including data modelling, UX design, and workflow automation 3. Strong understanding of AppSheet app design , including defining views, slices, actions, and ensuring excellent UI/UX in the final application 4. Experience integrating AppSheet with data sources such as Google Sheets, Cloud SQL, external databases , and Google Workspace components 5. Proficiency in AppSheet expressions , security filters, and performance optimization 6. Experience integrating AppSheet with Google Sheets, BigQuery, Google Drive , and other Google Workspace tools 7. St...

Data COE Sr. Data Engineer Job Description Are You Ready to Make It Happen at Mondelez International? Join our Mission to Lead the Future of Snacking. Make It with Pride In This Role As a Data COE Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay u...

PRIMARY SKILL - BigQuery, DBT, Python, Production Support Design, develop, and maintain scalable data pipelines using BigQuery, DBT, and PythonImplement and optimize ETL/ELT workflows on Google Cloud Platform (GCP) using services like Cloud Composer, Dataflow, and Cloud Storage Provide production support for data workflows, ensuring high availability, performance, and data integrityMonitor and troubleshoot issues in batch and streaming pipelines Collaborate with cross-functional teams to gather requirements and deliver robust data solutionsAutomate operational tasks and build alerting mechanisms using Python scripts and GCP monitoring tools Maintain and enhance DBT models, ensuring modularit...

Key Responsibilities: Lead Threat Modeling Efforts: Own and lead the threat modeling process, including identifying threats, vulnerabilities, and mitigations for cloud-based applications and systems hosted on GCP. Collaborate with architects, engineers, and product teams to design secure, resilient systems by incorporating threat modeling early in the design phase. Conduct threat assessments for new and existing GCP services and applications, identifying risk areas and recommending controls to mitigate identified threats. Security Frameworks & Best Practices: Develop and implement security frameworks and threat modeling methodologies (e.g., STRIDE, PASTA) specific to cloud-based systems. Est...

Role Description As a Senior Principle Engineer - Cloud Data Platform (GCP) at Incedo, you will be responsible for managing and optimizing the Google Cloud Platform 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 Azure and have experience with big data technologies such as Hadoop or Spark. You will be responsible for configuring and optimizing the GCP environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the se...

As a member of the team at GlobalLogic, you will be working on a significant software project for a world-class company that provides M2M / IoT 4G/5G modules to various industries such as automotive, healthcare, and logistics. Your engagement with the team will involve developing end-user modules" firmware, implementing new features, ensuring compatibility with the latest telecommunication and industry standards, and conducting analysis and estimations of customer requirements. **Key Responsibilities:** - Experience working with data warehouses, including technical architectures, infrastructure components, ETL / ELT, and reporting / analytic tools and environments. - Technical consulting exp...

As a Data Analytics and Research Manager (AI-driven) at WonDRx, you will play a crucial role in leading analytics and insights strategy that aligns with the fast-growing product and business goals of the innovative healthcare technology platform. **Role Overview:** You will be responsible for defining and leading the data and analytics roadmap, managing health data pipelines, dashboards, and KPIs, applying ML/NLP for patient behavior prediction and analytics automation, conducting market and competitor research, collaborating across teams, and presenting insights to CXOs. Additionally, you will mentor a data analytics team to ensure accuracy and impact. **Key Responsibilities:** - Define and...

As the Lead IT Data Modeler, you will play a crucial role in designing data models and architectures that not only address current business requirements but are also scalable for future challenges. Your primary responsibility will be to provide advanced mentorship to both junior and senior data modelers, fostering a culture of continuous improvement and innovation in data management practices. You must have a deep understanding of query optimization, execution plans, and complex SQL for handling large datasets. Your proficiency should extend to various database systems such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server, along with utilizing version control systems like Git for effic...