7 Dataprep Jobs

Join GlobalLogic as a valuable member of the team working on a significant software project for a world-class company that provides M2M / IoT 4G/5G modules to industries such as automotive, healthcare, and logistics. Your engagement will involve contributing to the development of end-user modules" firmware, implementing new features, maintaining compatibility with the latest telecommunication and industry standards, and analyzing and estimating customer requirements. Requirements - BA / BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience. - Proficiency in Cloud SQL and Cloud Bigtable. - Experience with Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub / Sub, and Genomics. - Familiarity with Google Transfer Appliance, Cloud Storage Transfer Service, and BigQuery Data Transfer. - Knowledge of data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and data processing algorithms (MapReduce, Flume). - Previous experience working with technical customers. - Proficiency in writing software in languages like Java or Python. - 6-10 years of relevant consulting, industry, or technology experience. - Strong problem-solving and troubleshooting skills. - Excellent communication skills. Job Responsibilities - Hands-on experience working with data warehouses, including technical architectures, infrastructure components, ETL / ELT, and reporting / analytic tools. - Experience in technical consulting. - Proficiency in architecting and developing software or internet-scale Big Data solutions in virtualized environments like Google Cloud Platform (mandatory) and AWS / Azure (good to have). - Familiarity with big data, information retrieval, data mining, machine learning, and building high availability applications with modern web technologies. - Working knowledge of ITIL and / or agile methodologies. - Google Data Engineer certification. What We Offer - Culture of caring: Prioritize a culture of caring, where people come first, fostering an inclusive environment of acceptance and belonging. - Learning and development: Commitment to continuous learning and growth, offering various programs, training curricula, and hands-on opportunities for personal and professional advancement. - Interesting & meaningful work: Engage in impactful projects that allow for creative problem-solving and exploration of new solutions. - Balance and flexibility: Embrace work-life balance with diverse career areas, roles, and work arrangements to support personal well-being. - High-trust organization: Join a high-trust organization with a focus on integrity, trustworthiness, and ethical practices. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with forward-thinking companies to create innovative digital products and experiences. Join the team in transforming businesses and industries through intelligent products, platforms, and services, contributing to cutting-edge solutions that shape the world today.,

Dear Candidate, This is with reference to your profile on the job portal. Deloitte India Consulting has an immediate requirement for the following role. Job Summary: We are looking for a skilled GCP Data Engineer to design, build, and maintain scalable data pipelines and solutions on Google Cloud Platform . The ideal candidate will have hands-on experience with GCP services, data warehousing, ETL processes, and big data technologies. Key Responsibilities: Design and implement scalable data pipelines using Cloud Dataflow , Apache Beam , and Cloud Composer . Develop and maintain data models and data marts in BigQuery . Build ETL/ELT workflows to ingest, transform, and load data from various sources. Optimize data storage and query performance in BigQuery and other GCP services. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. Ensure data quality, integrity, and security across all data solutions. Monitor and troubleshoot data pipeline issues and implement improvements. Required Skills & Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or related field. 3+ years of experience in data engineering, with at least 1–2 years on Google Cloud Platform . Proficiency in SQL , Python , and Apache Beam . Hands-on experience with GCP services like BigQuery , Cloud Storage , Cloud Pub/Sub , Cloud Dataflow , and Cloud Composer . Experience with data modeling , data warehousing , and ETL/ELT processes. Familiarity with CI/CD pipelines , Terraform , and Git . Strong problem-solving and communication skills. Nice to Have: GCP certifications (e.g., Professional Data Engineer ). Incase if you are interested, please share your updated resume along with the following details.(Mandatory) To smouni@deloitte.com Candidate Name Mobile No. Email ID Skill Total Experience Education Details Current Location Requested location Current Firm Current CTC Exp CTC Notice Period/LWD Feedback

Work Location: Bangalore/Pune/Hyderabad/ NCR Experience: 5-12yrs Required Skills: Proven experience as a Data Engineer with expertise in GCP. Strong understanding of data warehousing concepts and ETL processes. Experience with BigQuery, Dataflow, and other GCP data services Design, develop, and maintain data pipelines on GCP. Implement data storage solutions and optimize data processing workflows. Ensure data quality and integrity throughout the data lifecycle. Collaborate with data scientists and analysts to understand data requirements. Monitor and maintain the health of the data infrastructure. Troubleshoot and resolve data-related issues. Thanks & Regards Suganya R Suganya@spstaffing.in

Proven Experience in Business and Data Analytics Mentor team-mates on various business critical projects Solid experience in data analysis and reporting; Exposure to BFSI customer and business data is a plus. Able to communicate with the various stakeholders, manage tasks and issues and monitor progress to ensure the project is on track Proficient in SQL (Data Prep, Procedures, etc.) and Adv. Excel (Pivots, Data Models, Adv. Formulas, etc.) Experience working on MSSQL, Redshift, Databricks and business intelligence tools (e.g. Tableau) Problem-solving skills; methodical and logical approach Willingness to learn and adapt to new technologies Excellent written and verbal communication skills Roles and Responsibilities Effective data crunching and data analysis. Analyse all complex data, business logic, processes and help business take data driven decision. Prove to be a liaison between various teams and stakeholders in ensuring project runs smoothly and is completed and delivered within the stipulated time Working alongside teams to establish business needs Provide recommendations to optimize current systems and process

Skill Extensive experience with Google Data Products (Cloud Data Fusion,BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Dataprep, etc.). Expertise in Cloud Data Fusion,BigQuery & Dataproc Experience in MDM, Metadata Management, Data Quality and Data Lineage tools. E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management. Experience with SQL and NoSQL modern data stores. E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy. Excellent knowledge of the software development life cycle

Role & responsibilities Bachelors degree or four or more years of work experience. Four or more years of work experience. Experience with Data Warehouse concepts and Data Management life cycle. Experience in any DBMS Experience in Shell scripting, Spark, Scala. Experience in GCP/Big Query, composer, Airflow. Experience in real time streaming Experience in DevOps

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 :