785 Bigquery Jobs - Page 32

About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Set up user journey dashboards across customer touchpoints (web and mobile app) in Adobe analytics, GA4 and Amplitude and identify pain points, familiarity with auditing tags using Omibug, GA debugger and other relevant tools. Understanding and familiarity with cross-device analyses using combined reporting suites, virtual report suite and familiarity with people metric and data warehouse. Building complex segments in analytics tools by going through online user journeys, self-serving tag audit to build segments. Analysis of customer journey and recommend personalization tests on digital properties by using Adobe analytics, GA4, Amplitude or any equivalent tool, walk through of analysis outcome and come up with ideasto optimize digital user experience. Website and mobile app Optimization consulting for client accounts across industries (customer journey analyses and personalization). Familiarity with website measurement strategy, identifying key KPIs and define goals, integrating online and offline data and segmentation strategies. Connect with clients for business requirements, walk through analysis outcome and come up with ideas for optimization of the digital properties. Build analytical reports and dashboards using visualization tools like LookerStudio or PowerBI. Technical and Functional Skills: Bachelors Degree with overall experience of 6-10 years in digital analytics and optimization (Adobe Analytics, GA4, Appsflyer and Amplitude). Specialism- Adobe Analytics or GA4 and App analytics tools like Amplitude, Appsflyer, Visualization tools Expert- LookerStudio or PowerBI Certification in Adobe Analytics Business practitioner preferred. Ability to drive business inference from quantitative and qualitative datasets. Ability to collaborate with stakeholders across the globe. Strong communication, creative and innovation skills to help develop offerings to meet market needs.

Job Description- GCP Data Engineer TECH STACK GCP data integration and resource management Big Query DataForms Python (good to have) Terraform (nice to have) DevOps (is a plus) Experience working with Analytics products is a plus Experience working with Security and Compliance teams and/or on DevOps Qualifications: Formal qualifications in computer science, software engineering, or any engineering equivalent Minimum 9+ years (Expert SWE) or 7 years (Senior SWE) of professional experience as software engineer with similar level of experience in the specific tech stack for the area Minimum 5 years (Expert SWE) or 3 years (Senior SWE) experience of working in agile/iterative software development teams with a DevOps working setup and with an emphasis on self-organisation and delivery to agreed commitments Demonstrable experience with cloud computing environments Excellent written and verbal English communication skills

Job Summary Auriga is looking for a Data Engineer to design and maintain cloud-native data pipelines supporting real-time analytics and machine learning. You'll work with cross-functional teams to build scalable, secure data solutions using GCP (BigQuery, Looker), SQL, Python, and orchestration tools like Dagster and DBT. Mentoring junior engineers and ensuring data best practices will also be part of your role. WHAT YOU'LL DO: Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads. Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources. Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications. Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency. Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations. Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities. Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management. Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability. Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure. WHAT WE'RE LOOKING FOR: Strong proficiency in English (written and verbal communication) is required. Experience working with remote teams across North America and Latin America, ensuring smooth collaboration across time zones. 5+ years of experience in data engineering, with expertise in building scalable data pipelines and cloud-native data architectures. Strong proficiency in SQL for data modeling, transformation, and performance optimization. Experience with BI and data visualization tools (e.g., Looker, Tableau, or Google Data Studio). Expertise in Python for data processing, automation, and pipeline development. Experience with cloud data platforms, particularly Google Cloud Platform (GCP).Hands-on experience with Google BigQuery, Cloud Storage, and Pub/Sub. Strong knowledge of ETL/ELT frameworks such as DBT, Dataflow, or Apache Beam. Familiarity with workflow orchestration tools like Dagster, Apache Airflow or Google Cloud Workflows. Understanding of data privacy, security, and compliance best practices. Strong problem-solving skills, with the ability to debug and optimize complex data workflows. Excellent communication and collaboration skills. NICE TO HAVES: Experience with real-time data streaming solutions (e.g., Kafka, Pub/Sub, or Kinesis). Familiarity with machine learning workflows and MLOps best practices. Knowledge of Terraform for Infrastructure as Code (IaC) in data environments. Familiarity with data integrations involving Contentful, Algolia, Segment, and .

Requirement : 8+ years of professional experience as a data engineer and 2+ years of professional experience as a senior data engineer Must have strong working experience in Python and its various data analysis packages Pandas / NumPy Must have strong understanding of prevalent cloud ecosystems and experience in one of the cloud platforms AWS / Azure / GCP . Must have strong working experience in one of the leading MPP Databases Snowflake / Amazon Redshift / Azure Synapse / Google Big Query Must have strong working experience in one of the leading data orchestration tools in cloud – Azure Data Factory / Amazon Glue / Apache Airflow Must have experience working with Agile methodologies, Test Driven Development, and implementing CI/CD pipelines using one of leading services – GITLab / Azure DevOps / Jenkins / AWS Code Pipeline / Google Cloud Build Must have Data Governance / Data Management / Data Quality project implementation experience Must have experience in big data processing using Spark Must have strong experience with SQL databases (SQL Server, Oracle, Postgres etc.) Must have stakeholder management experience and very good communication skills Must have working experience on end-to-end project delivery including requirement gathering, design, development, testing, deployment, and warranty support Must have working experience with various testing levels, such as, unit testing, integration testing and system testing Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures Nice to have Skills : Working experience in DataBricks notebooks and managing DataBricks clusters Experience in Data Modelling tool such as Erwin or ER Studio Experience in one of the data architectures, such as Data Mesh or Data Fabric Has handled real time data or near real time data Experience in one of the leading Reporting & analysis tools, such as Power BI, Qlik, Tableau or Amazon Quick Sight Working experience with API integration General insurance / banking / finance domain understanding

Title: Looker Developer Team: Data Engineering Work Mode: Remote Shift Time: 3:00 PM - 12:00AM IST Contract: 12 months Key Responsibilities Collaborate closely with engineers, architects, business analysts, product owners, and other team members to understand the requirements and develop test strategies. LookML Proficiency: LookML is Looker's proprietary language for defining data models. Looker developers need to be able to write, debug, and maintain LookML code to create and manage data models, explores, and dashboards. Data Modeling Expertise:Understanding how to structure and organize data within Looker is essential. This involves mapping database schemas to LookML, creating views, and defining measures and dimensions. SQL Knowledge: Looker leverages SQL queries under the hood. Developers need to be able to write SQL to understand the data, debug queries, and potentially extend LookML with custom SQL. Looker Environment: Familiarity with the Looker interface, including the IDE, LookML Validator, and SQL Runner, is necessary for efficient development. Education and/or Experience Bachelor's degree in MIS, Computer Science, Information Technology or equivalent required 6+ Years of IT Industry experience in Data management field.

Job Title: Senior GCP Data DevOps Engineer Job Type: Remote Exp: 4+ years Position Overview: As a Senior DevOps Engineer specializing in Google Cloud Platform (GCP), you will play a crucial role in designing, implementing, and managing our cloud infrastructure to ensure optimal performance, scalability, and reliability. You will collaborate closely with cross-functional teams to streamline development processes, automate deployment pipelines, and enhance overall system efficiency. Responsibilities: Design, implement, and manage scalable and highly available cloud infrastructure on Google Cloud Platform (GCP) to support our applications and services. Develop and maintain CI/CD pipelines to automate the deployment, testing, and monitoring of applications and microservices. Collaborate with software engineering teams to optimize application performance, troubleshoot issues, and ensure smooth deployment processes. Implement and maintain infrastructure as code (IaC) using tools such as Terraform , Ansible, or Google Deployment Manager. Monitor system health, performance, and security metrics, and implement proactive measures to ensure reliability and availability. Implement best practices for security, compliance, and data protection in cloud environments. Continuously evaluate emerging technologies and industry trends to drive innovation and improve infrastructure efficiency. Mentor junior team members and provide technical guidance and support as needed. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 4-8 years of experience in a DevOps role, with a focus on Google Cloud Platform (GCP). In-depth knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL , Pub/Sub, and BigQuery . Proficiency in scripting languages such as Python , Bash, or PowerShell. Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes. Strong understanding of CI/CD concepts and experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI. Solid understanding of infrastructure as code (IaC) principles and experience with tools such as Terraform, Ansible, or Google Deployment Manager. Experience with monitoring and logging tools such as Prometheus, Grafana, Stackdriver, or ELK Stack. Knowledge of security best practices and experience implementing security controls in cloud environments. Excellent problem-solving skills and ability to troubleshoot complex issues in distributed systems. Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: Google Cloud certification (e.g., Professional Cloud DevOps Engineer, Professional Cloud Architect). Experience with other cloud platforms such as AWS or Azure. Familiarity with agile methodologies and DevOps practices. Experience with software development using languages such as Java, Node.js, or Go. Knowledge of networking concepts and experience with configuring network services in cloud environments. Skills: Gcp CloudSQLBigqueryKubernetesIac ToolsCi Cd PipelineTerraformPythonAirflowSnowflakePower BiIacData FlowPubsubCloud StorageCloud Computing

locationsTower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 time typeFull time posted onPosted 5 Days Ago job requisition idR0000388711 About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. AtTarget, we are gearing up for exponential growth and continuously expanding our guest experience. To support this expansion, Data Engineering is building robust warehouses and enhancing existing datasets to meet business needs across the enterprise. We are looking for talented individuals who are passionate about innovative technology, data warehousing and are eager to contribute to data engineering. . Position Overview Assess client needs and convert business requirements into business intelligence (BI) solutions roadmap relating to complex issues involving long-term or multi-work streams. Analyze technical issues and questions identifying data needs and delivery mechanisms Implement data structures using best practices in data modeling, ETL/ELT processes, Spark, Scala, SQL, database, and OLAP technologies Manage overall development cycle, driving best practices and ensuring development of high quality code for common assets and framework components Develop test-driven solutions and provide technical guidance and heavily contribute to a team of high caliber Data Engineers by developing test-driven solutions and BI Applications that can be deployed quickly and in an automated fashion. Manage and execute against agile plans and set deadlines based on client, business, and technical requirements Drive resolution of technology roadblocks including code, infrastructure, build, deployment, and operations Ensure all code adheres to development & security standards About you 4 year degree or equivalent experience 5+ years of software development experience preferably in data engineering/Hadoop development (Hive, Spark etc.) Hands on Experience in Object Oriented or functional programming such as Scala / Java / Python Knowledge or experience with a variety of database technologies (Postgres, Cassandra, SQL Server) Knowledge with design of data integration using API and streaming technologies (Kafka) as well as ETL and other data Integration patterns Experience with cloud platforms like Google Cloud, AWS, or Azure. Hands on Experience on BigQuery will be an added advantage Good understanding of distributed storage(HDFS, Google Cloud Storage, Amazon S3) and processing(Spark, Google Dataproc, Amazon EMR or Databricks) Experience with CI/CD toolchain (Drone, Jenkins, Vela, Kubernetes) a plus Familiarity with data warehousing concepts and technologies. Maintains technical knowledge within areas of expertise Constant learner and team player who enjoys solving tech challenges with global team. Hands on experience in building complex data pipelines and flow optimizations Be able to understand the data, draw insights and make recommendations and be able to identify any data quality issues upfront Experience with test-driven development and software test automation Follow best coding practices & engineering guidelines as prescribed Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to variety of audiences Life at Target- Benefits- Culture-

Google BigQuery Location- Pan India Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Key Responsibilities : Analyze and model client market and key performance data Use analytical tools and techniques to develop business insights and improve decisionmaking \n1:Data Proc PubSub Data flow Kalka Streaming Looker SQL No FLEX\n2:Proven track record of delivering data integration data warehousing soln\n3: Strong SQL And Handson Pro in BigQuery SQL languageExp in Shell Scripting Python No FLEX\n4:Exp with data integration and migration projects Oracle SQL Technical Experience : Google BigQuery\n\n1: Expert in Python NO FLEX Strong handson knowledge in SQL NO FLEX Python programming using Pandas NumPy deep understanding of various data structure dictionary array list tree etc experiences in pytest code coverage skills\n2: Exp with building solutions using cloud native services: bucket storage Big Query cloud function pub sub composer and Kubernetes NO FLEX\n3: Pro with tools to automate AZDO CI CD pipelines like ControlM GitHub JIRA confluence CI CD Pipeline Professional Attributes :

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Anu bachelors degree Summary: As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. You will deploy infrastructure and platform environments, create proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the implementation of cloud solutions - Optimize cloud infrastructure for performance and cost-efficiency - Troubleshoot and resolve technical issues Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture - Strong understanding of cloud architecture principles - Experience with DevOps practices - Experience with Google Cloud SQL - Hands-on experience in cloud deployment and management - Knowledge of security best practices in cloud environments Additional Information: - The candidate should have a minimum of 7.5 years of experience in Google Cloud Platform Architecture - This position is based at our Bengaluru office - A bachelors degree is required

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and contribute to key decisions. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the development and implementation of new features. Conduct code reviews and ensure coding standards are met. Troubleshoot and resolve complex technical issues. Professional & Technical Skills: Must To Have Skills: Proficiency in Google BigQuery. Strong understanding of data modeling and database design. Experience with cloud platforms like Google Cloud Platform. Knowledge of SQL and query optimization techniques. Hands-on experience in developing scalable applications. Good To Have Skills: Experience with data warehousing solutions. Additional Information: The candidate should have a minimum of 12 years of experience in Google BigQuery. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education