4 Dataform Jobs

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.

Responsible to provide fast and reliable data solutions for warehousing, reporting, Customer- and Business Intelligence solutions. Loading data from various systems of record into our platform and make them available for further use. Automate deployment and test processes to deliver fast incremental improvements of our application and platform. Implement data governance and protection to adhere regulatory requirements and policies. Transform and combine data into a data model which supporting our data analysts or can easily consumed by operational databases. Maintain hygiene, Risk and Control and Stability at to core to every delivery. Be a role model for the team. Work in an agile setup, helping with feedback to improve our way of working Commercial Banking Tribe Youll be joining the Commercial Bank Tribe, who is focusing on the special needs of the small and medium enterprise clients in Germany, a designated area for further growth and investment within Corporate Bank. We are responsible for the digital transformation of ~800.000 clients in 3 brands, i.e. the establishment of the BizBanking platform including development of digital sales and service processes as well as the automation of processes for this client segment. Our tribe is on a journey of an extensive digitalisation of business processes and to migrate our applications to the cloud. On that we are working jointly together with our business colleagues in an agile setup and collaborating closely with stakeholders and engineers from other areas thriving to achieve a highly automated and adoptable process and application landscape.. Your key responsibilities Design, develop, and deploy data processing pipelines and data-driven applications on GCP Write and maintain SQL queries and use data modeling tools like Dataform or dbt for data management. Write clean, maintainable code in Java and/or Python, adhering to clean code principles. Apply concepts of deployments and configurations in GKE/OpenShift, and implement infrastructure as code using Terraform. Set up and maintain CI/CD pipelines using GitHub Actions, write and maintain unit and integration tests. Your skills and experience Bachelor's degree in Computer Science, Data Science, or related field, or equivalent work experience. Proven experience as a Data Engineer or Backend Engineer or similar role. Strong experience with Cloud, Terraform, and GitHub Actions. Proficiency in SQL and Java and/or Python, experience with tools and frameworks like Apache Beam, Spring Boot and Apache Airflow. Familiarity with data modeling tools like Dataform or dbt, and experience writing unit and integration tests. Understanding of clean code principles and commitment to writing maintainable code. Excellent problem-solving skills, attention to detail, and strong communication skills.

5+ Years Proven experience as a Data Engineer or in a similar role. Hands-on expertise with BigQuery and DataForm. Experience with cloud platforms like Google Cloud Platform (GCP).