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Job Title : Senior Data Engineer -Snowflake-Bangalore location only Start date -June joining or 20 days max. Experience 5-7 years Work mode Hybrid( 3days in a week to office) -Bangalore Top 3 skills Expert knowledge and minimum 5 years professional experience on data pipeline modeling/implementation, data management, data transformation in a corporate environment Practical experience in automated data quality management and test automation Well-versed in Cloud based data management technologies (Snowflake, Databricks, Neo4J, dbt) Experience with processing, optimizing, and managing large data sets (multiple TB scale). Looking for resources with strong snowflake experience. Proven knowledge (e.g. certification) on data vault framework High proficiency in designing, managing, monitoring, and administrating data pipelines and data structures in Cloud based technology stack Ability to translate complex problems into simple technical solutions Ability to abstract data problems into re-usable components/modules Lifetime willingness to learn and explore new technologies in data, analytics and AI Strong orientation towards quality and results (attention to detail and standardization) Practical experience working in agile environments Good communication skills Analytical and out of the box thinking Natural drive for innovation and optimization Teamwork oriented collaborative attitude in a multi-national hybrid team environment Expert knowledge and minimum 5 years professional experience on data pipeline modeling/implementation, data management, data transformation in a corporate environment Practical experience in automated data quality management and test automation Well-versed in Cloud based data management technologies (Snowflake, Databricks, Neo4J, dbt) Experience with processing, optimizing, and managing large data Company Name: VARITE INDIA PRIVATE LIMITED About The Client: A global IT services and consulting company, multinational information technology (IT), headquartered in Tokyo, Japan. The Client offers a wide array of IT services, including application development, infrastructure management, and business process outsourcing. Their consulting services span business and technology, while their digital solutions focus on transformation and user experience design. It excels in data and intelligence services, emphasizing analytics, AI, and machine learning. Additionally, their cybersecurity, cloud, and application services round out a comprehensive portfolio designed to meet the diverse needs of businesses worldwide. About The Job: Senior Data Engineer Job Description Role Overview: A Senior Data Engineer is responsible for designing, building, and maintaining the infrastructure and tools required for efficient data processing and analysis. This role involves working closely with business team, data analysts, and other stakeholders to ensure data quality and accessibility. We need profiles with Snowflake experience. Essential Job Functions: Design and Implement ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes to transform raw data into usable formats. Data Pipeline Management: Build and maintain scalable data pipelines to handle increasing data volumes and complexity. Data Warehousing: Manage data warehousing solutions to store and organize large datasets. Collaboration: Work with data scientists and business teams to improve data models and support data-driven decision-making. Data Integration and optimization: Implement and manage the deployment of data integration models into production environments. Optimize the workload and data processing Qualifications: Post degree in computer science, information science, or data analytics Expert knowledge and minimum 5 years professional experience on data pipeline modeling/implementation, data management, data transformation in a corporate environment Practical experience in automated data quality management and test automation Well-versed in Cloud based data management technologies (Snowflake, Databricks, Neo4J, dbt) Experience with processing, optimizing, and managing large data sets (multiple TB scale). Profound knowledge and hands-on experience with advanced analytics/machine learning environments such as Phyton, Apache Spark, Snowpark on Snowflake Proficient English plus an additional foreign language is preferred Knowledge on data visualization such as Qlik or PowerBI is preferred Working experience with Agile methods within Microsoft DevOps Experience working with enterprise data in the field of laboratory diagnostics or large global enterprise preferred. Experience in working with multinational teams and/or different countries and cultures. How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000 Show more Show less

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