4 Dataform Jobs

Job Description: We are seeking an experienced Data Engineer for a contract/consulting engagement to design, build, and maintain scalable data infrastructure using Google Cloud Platform technologies and advanced analytics visualization. This role requires 5-8 years of hands-on experience in modern data engineering practices with a strong focus on cloud-native solutions and business intelligence. Key Responsibilities: Data Infrastructure & Engineering (70%) Experience in designing tables and working with complex queries in Google BigQuery Build and maintain data transformation workflows using Dataflow, Dataform Design and implement robust data pipelines using Apache Airflow for workflow orchestration and scheduling Architect scalable ETL/ELT processes handling large-scale data ingestion from multiple sources Optimize BigQuery performance through partitioning, clustering, and cost management strategies Collaborate with DevOps teams to implement CI/CD pipelines for data infrastructure Solid technical background with a complete understanding of Data Warehouse Modeling, architectures, OLAP, OLTP data sets, etc Experience with Java, Python will be plus Analytics & Visualization (30%) Create compelling data visualizations and interactive dashboards using Tableau Experience in designing Tableau models with Live & Extract data source. Good to have experience in Tableau Prep Partner with business stakeholders to translate requirements into analytical solutions Design and implement self-service analytics capabilities for end users Optimize Tableau workbooks for performance and user experience Integrate Tableau with BigQuery for real-time analytics and reporting Technical Skills Core Data Engineering (Must Have) 5-8 years of progressive experience in data engineering roles Expert-level proficiency in SQL with complex query optimization experience Hands-on experience with Google BigQuery for data warehousing and analytics Proven experience with Apache Airflow for workflow orchestration and pipeline management Working knowledge of Dataflow and Dataform for data transformation and modeling Experience with GCP services: Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer Visualization & Analytics Strong proficiency in Tableau for data modeling, data visualization and dashboard development Experience integrating Tableau with cloud data platforms Understanding of data visualization best practices and UX principles Knowledge of Tableau Server/Cloud administration and governance Additional Technical Requirements Experience with version control systems (Git) and collaborative development practices Knowledge of data modeling techniques (dimensional modeling, data vault) Understanding of data governance, security, and compliance frameworks Experience with infrastructure as code (Terraform preferred) Familiarity with scripting languages (Python/Java) for data processing Preferred Qualifications Google Cloud Professional Data Engineer certification Tableau Desktop Certified Professional or equivalent certification Experience with real-time data processing and streaming analytics Knowledge of machine learning workflows and MLOps practices Previous experience in agile development environments Role & responsibilities Preferred candidate profile

Role & responsibilities Python, Dataproc, Airflow PySpark, Cloud Storage, DBT, DataForm, NAS, Pubsub, TERRAFORM, API, Big Query, Data Fusion, GCP, Tekton Preferred candidate profile Data Engineer in Python - GCP Location Chennai Only 4+ Years of Experience

Role & responsibilities GCP Services - Biq Query, Data Flow, Dataproc, DataPlex, DataFusion, Terraform, Tekton, Cloud SQL, Redis Memory, Airflow, Cloud Storage 2+ Years in Data Transfer Utilities 2+ Years in Git / any other version control tool 2+ Years in Confluent Kafka 1+ Years of Experience in API Development 2+ Years in Agile Framework 4+ years of strong experience in python, Pyspark development. 4+ years of shell scripting to develop the adhoc jobs for data importing/exporting Preferred candidate profile Python, dataflow, Dataproc, GCP Cloud Run, DataForm, Agile Software Development, Big Query, TERRAFORM, Data Fusion, Cloud SQL, GCP, KAFKA,Java. We would like to inform you that only immediate joiners will be considered for this position due to project urgency.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Manager, Data Management The Data Analyst - Data Management is responsible for creating, refining, and optimizing data sets and metrics for BI reporting, data science, and self-serve analytics using data available on Google Cloud. Where required data is unavailable, the role collaborates with technology teams to onboard new data sources, ensuring alignment with enterprise data strategies. This role plays a crucial part in ensuring that data models adhere to best practices and comply with technology guardrails, maintaining the safe and efficient use of Google Cloud Platform (GCP). Strong expertise in data modeling, SQL, and cloud-based data analysis is essential. Prior experience in banking and People Analytics is an advantage Responsibilities Data Preparation & Optimization . Develop and maintain scalable, well-structured, and optimized data sets for reporting and analytics. . Enhance existing data models and metrics to improve accuracy, efficiency, and usability for BI tools like Tableau and Qlik. . Work closely with Data Scientists to ensure data structures support advanced analytics use cases. . Proactively refine and streamline data pipelines to reduce processing time and costs. Data Sourcing & Integration . Identify data gaps and collaborate with technology teams to onboard additional data onto GCP. . Ensure all newly ingested data is well-documented, governed, and optimized for analytical use. . Work closely with business stakeholders to understand data needs and align technical solutions accordingly. Governance & Compliance . Ensure adherence to technology guardrails and enterprise data policies for the safe use of GCP. . Maintain high data integrity and security standards, ensuring compliance with banking and regulatory requirements. . Implement best practices for data lineage, metadata management, and access controls. Collaboration & Stakeholder Engagement . Work closely with BI developers, Data Scientists, and Product Owners to support evolving data requirements. . Partner with Technology and Data Governance teams to ensure alignment with enterprise data strategy. . Act as a subject matter expert for data modeling, cloud analytics, and best practices in People Analytics Qualifications we seek in you! Minimum Qualifications / Skills . Google Cloud Certified - Data Analyst or equivalent cloud certification (definite advantage). . Relevant years of experience in data analysis, BI reporting, or data engineering. . Prior experience in banking and/or People Analytics is a strong advantage. . Experience working with large-scale enterprise data platforms and cloud environments. . . Preferred Qualifications/ Skills Technical Expertise . Expert knowledge of data modeling concepts, SQL, and data warehousing principles. . Hands-on experience with Google Cloud Platform (BigQuery, Dataform, Cloud Storage, etc.). . Strong understanding of BI tools (Tableau, Qlik) and data science workflows. . Knowledge of ETL/ELT processes and data pipeline optimization. Business & Analytical Skills . Ability to translate business needs into structured data solutions. . Strong data storytelling skills, ensuring insights are clear and actionable. . Experience working in banking and People Analytics is highly advantageous. Governance & Compliance . Understanding of data governance, security, and compliance requirements in banking. . Familiarity with data cataloging, lineage, and metadata management practices. . Experience ensuring technology guardrails are adhered to in cloud environments. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.