49 Dataform Jobs

Hiring: GCP Data Engineer | Remote | Full-Time Company: Natlov Technologies Pvt. Ltd. Experience: 12 years About the Role We're looking for a skilled GCP Data Engineer to design, build, and manage scalable data solutions on Google Cloud Platform. You'll work with Airflow, Dataform, and BigQuery to develop automated, high-performance data pipelines. Tech Stack Cloud: Google Cloud Platform (GCP) Pipelines: Airflow, Dataform Database: MySQL Programming: Python Data Warehouse: BigQuery Responsibilities Build and manage data pipelines using Airflow and Dataform Develop and optimize data models in BigQuery Automate workflows using Python Integrate and manage data from MySQL and other sources Ensur...

As an ETL Developer at this company, you will be responsible for working with ETL tools like Informatica and have a strong understanding of data warehouse concepts. You should also have experience with Google Cloud Platform (GCP), PL/SQL, and hands-on experience with BigQuery, Composer, Dataform, and Data warehouse. Your role will involve developing PL/SQL scripts and working with BigQuery. **Key Responsibilities:** - Utilize ETL tools like Informatica for data integration - Demonstrate a strong understanding of data warehouse concepts - Work with Google Cloud Platform (GCP) technologies such as BigQuery, Composer, and Dataform - Develop and optimize PL/SQL scripts for data processing **Qual...

Job Description We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves At Ford Motor Credit Company, we are modernizing our enterprise data warehouse in Google Cloud to enhance data, analytics, and AI/ML capabilities, improve customer experience, ensure regulatory compliance, and boost operational efficiencies. As a Senior Data Engineering Manager, you will lead a team responsible for the strategic development and delivery of data products and application support. You will oversee the integration of da...

Job Description As a Senior Data Engineering Manager, you will lead a team responsible for the strategic development and delivery of data products. You will oversee the integration of data from various sources, guiding the evolution of our analytical data landscape, including the merging of historical data from legacy platforms with data ingested from new platforms. Your role involves directing the analysis and manipulation of large datasets, ensuring the activation of data assets to enable enterprise platforms and analytics within Google Cloud Platform. You will also lead the design and implementation of data transformation and modernization initiatives on Google Cloud Platform, ensuring th...

Role Overview: You are sought after for the position of Senior BigQuery Developer at FIS Clouds in Hyderabad. Your role will involve designing, developing, and maintaining robust, scalable data pipelines and advanced analytics solutions using BigQuery and other GCP-native services. Collaborating closely with data scientists, analysts, and business stakeholders, you will ensure efficient and secure access to enterprise data. Key Responsibilities: - Design, develop, and optimize BigQuery data warehouses and data marts to support analytical and business intelligence workloads. - Implement data modeling and best practices for partitioning, clustering, and table design in BigQuery. - Integrate Bi...

Role Overview: Join an exciting initiative with our customer's Marketing Performance Team, where your engineering expertise will play a key role in building a next-generation Marketing Analytics Platform. This ecosystem will consolidate marketing data across various formats to drive intelligent decision-making and deliver AI-powered insights. We are seeking a seasoned AdTech Engineer with strong data infrastructure experience and a passion for performance-driven marketing technology. Key Responsibilities: - Data Integration & Transformation: Design and build robust ETL/ELT pipelines to unify data across disparate AdTech platforms and marketing tools. - Platform Development: Contribute to bui...

Role Title: Data Analyst Function: Data & Analytics Role Type: Permanent About this Role As a Data Analyst within the Data & Analytics (D&A) team, you will play a pivotal role in developing and maintaining the Application Layer that interfaces directly with our D&A customers. This role requires a strong understanding of business context and the ability to translate evolving requirements into robust data solutions. You will be responsible for backend development, including the creation of data structures, data marts, and transformation pipelines that support regular service operations. The role also involves developing ETLs from source systems into the Data Warehouse and ensuring data consist...

At Swarovski, where innovation meets inspiration, our people desire to explore, experience and create. We are looking for a Data Engineer where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We're bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About The Job Maintain and support data transformation pipelines from the Landing Zone to the Consumption Layer. Monitor the health and performance of data pipelines, infrastructure, and associated systems within GCP and SAP BW environments, ensuring seamless and efficient operations....

Location- Chennai, Bangalore, hyd , Pune Dev-Ops engineer with exp in Big Query, Data form, Qlik Replicate or any other GCP-native tools. Role & responsibilities Design, build and maintain ETL/ELT pipelines using GCP services including Big Query, Data form, Qlik Replicate or any other GCP-native tools. Integrate DevSecOps best practices into CI/CD pipelines Knowledge in creating CDC jobs in ETL tools. Experience with DevOps toolchains and integrating security into CI/CD pipelines Expertise or Proficient in writing SQL queries. Good to have knowledge on implementing batch and streaming data pipelines using GCP Dataflow. Schedule and automate data workflows and jobs using Google Cloud Schedule...

Data Engineer At Swarovski, where innovation meets inspiration, our people desire to explore, experience and create. We are looking for a Data Engineer where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We're bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About The Job Maintain and support data transformation pipelines from the Landing Zone to the Consumption Layer. Monitor the health and performance of data pipelines, infrastructure, and associated systems within GCP and SAP BW environments, ensuring seamless and efficie...

Who We Are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This pa...

Location- Chennai, Bangalore, hyd , Pune Dev-Ops engineer with exp in Big Query, Data form, Qlik Replicate or any other GCP-native tools. Role & responsibilities Design, build and maintain ETL/ELT pipelines using GCP services including Big Query, Data form, Qlik Replicate or any other GCP-native tools. Integrate DevSecOps best practices into CI/CD pipelines Knowledge in creating CDC jobs in ETL tools. Experience with DevOps toolchains and integrating security into CI/CD pipelines Expertise or Proficient in writing SQL queries. Good to have knowledge on implementing batch and streaming data pipelines using GCP Dataflow. Schedule and automate data workflows and jobs using Google Cloud Schedule...

Context on the BI Team.. The BI Team are currently in the process of migrating their existing reporting and data tools from Snowflake / Tableau over to Google Cloud Platform (Bigquery / Looker). The wider central data team (Data Engineering, Data Governance, Data Science, Data Analytics) are working to build a Medallion data architecture and the BI Team will be responsible for building and maintaining the Gold Layer and BI Self Serve Tools. What we're looking for... Looker Understanding of the Looker Semantic Layer and LookML Experience building Models, Explores and Dashboards in Looker Experience creating Derived Tables within Looker / BigQuery Experience / Knowledge of Hub and Spoke Archit...

Job Summary Were looking for a Principal Cloud Engineer with a strong foundation in Multi-Cloud & multi region deployment, data architecture, distributed systems, and modern cloud-native platforms to architect, build, and maintain intelligent infrastructure and systems that power our AI, GenAI and data-intensive workloads. Youll work closely with cross-functional teams, including data scientists, ML & software engineers, and product managers & play a key role in designing a highly scalable platform to manage the lifecycle of data pipelines, APIs, real-time streaming, and agentic GenAI workflows, while enabling federated data architectures. The ideal candidate will have a strong background in...

Job Summary As a key member of the Data Team at Equinix, we are seeking an experienced GCP Data Engineer who will lead end-to-end development of complex Data Engineering use cases and drive the evolution of Equinix's Data Lake platform You will design and build enterprise-scale data infrastructure and analytics solutions on Google Cloud Platform while providing technical mentorship to the data engineering team The ideal candidate combines deep technical expertise in cloud-native data technologies with proven leadership skills and a passion for building robust, scalable data platforms that drive strategic business insights Responsibilities Participate in design and implementation of enterpris...

Position Overview: We are seeking a skilled and passionate Data Engineer with deep expertise in Google Cloud Platform (GCP) and Google BigQuery. In this role, you will architect, build, and maintain the scalable data pipelines that are the foundation of our analytics and data science initiatives. You will be responsible for the entire data lifecycle, from ingestion and processing to warehousing and serving. You will work on creating a reliable, efficient, and high-quality data ecosystem that empowers our data analysts, data scientists, and business leaders to make critical data-informed decisions. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily ...

Position Overview: We are seeking a skilled and passionate Data Engineer with deep expertise in Google Cloud Platform (GCP) and Google BigQuery. In this role, you will architect, build, and maintain the scalable data pipelines that are the foundation of our analytics and data science initiatives. You will be responsible for the entire data lifecycle, from ingestion and processing to warehousing and serving. You will work on creating a reliable, efficient, and high-quality data ecosystem that empowers our data analysts, data scientists, and business leaders to make critical data-informed decisions. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily ...

As a highly skilled and motivated Cloud Data Engineering Manager at Merkle, your role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns on Google Cloud Platform (GCP). **Key Responsibilities:** - **Data Engineering & Development:** - Design, build, and maintain scalable ETL/ELT pipelines for ingesting, processing, and transforming structured and unstructured data. - Implement enterprise-level data solutions using GCP services such as BigQuery, Dataform, Cloud Storage, Dataflow, Cloud Functions, Cloud Pub/Sub, and Cloud Composer. - Develop and optimize data architectures that support real-time and batch data process...

Role Overview: As a Full Stack Data Engineer, you will collaborate with Data Scientists and Product Development teams to create cutting-edge data products that align with Company Objectives. Your responsibilities will include landing data, developing new data products, enhancing existing solutions, and validating solutions with Analytics & Business partners for production release. Key Responsibilities: - Work with Data Scientists and Product Development teams to develop industry-leading data products - Land data and develop new data products - Enhance existing data products - Collaborate with Analytics & Business partners to validate solutions for production release - Utilize GCP services su...

At Swarovski, where innovation meets inspiration, our people desire to explore, experience and create. We are looking for a Data Engineer where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We're bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you. About The Job Maintain and support data transformation pipelines from the Landing Zone to the Consumption Layer. Monitor the health and performance of data pipelines, infrastructure, and associated systems within GCP and SAP BW environments, ensuring seamless and efficient operations....

As a Data Engineer with over 12 years of experience, you will be responsible for leading Data Engineer teams in developing enterprise-grade data processing pipelines on Google Cloud. Your role will involve leading projects involving the migration of ETL pipelines and Data warehouses to the cloud, with a focus on medium to high complexity projects. You should have a minimum of 3 to 4 years of experience in this capacity and at least 3 to 5 years with premium consulting companies. Your expertise should include hands-on experience with Google Cloud Platform services such as BigQuery, Dataform, Dataplex, etc. Additionally, you should possess exceptional communication skills to effectively engage...

Role Overview: You will be responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately. Collaborating with business and technology stakeholders to understand current and future data requirements will be a key aspect of your role. Key Responsibilities: - Collaborate with business and technology stakeholders to understand current and future data requirements - Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis - Plan, design, build, and maintain scalabl...

GCP Dataflow, GCP Cloud Composer, GCP BigQuery, GCP Cloud Storage, Dataproc. Java, Python, Scala. ETL/ELT, Big Data Hadoop Ecosystem, ANSI-SQL. DevOps, CI/CD, API, Agile GCP Datastream, Dataform, Datafusion, Workflows, Pub/Sub, and DMS

Experience Level: 46 years Note - Video of self Introduction of 3mins. Key Responsibilities Design, build, and maintain scalable and reliable data pipelines using GCP services such as: BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow). Implement data ingestion from diverse sources (e.g., APIs, databases, files) into cloud data lake/warehouse. Optimize data processing workflows for performance, reliability, and cost efficiency. Develop and manage ETL/ELT processes using tools like Dataform, dbt, or custom scripts. Collaborate with data scientists, analysts, and stakeholders to deliver clean, well-documented datasets. Implement data quality, governance, and observabili...

Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future data requirements 2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow ...