... purity process utility systems serving the semiconductor, PV Solar and other high-tech industries . With a deep-rooted legacy in turnkey solutions for the life sciences industry, we bring unmatched expertise in designing, manufacturing and installing complex utility systems. We are seeking a driven and detail oriented Design ...
... relocation Remote Type: This position is fully remote Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and ...
... troubleshooting, and user support.- Analyze business requirements and translate them into effective Veeva CRM/Event Management solutions.- Support CRM integrations, data management, and related Veeva modules.- Handle production support, incident management, and change management activities.- Collaborate with business stakeholders ...
... Alignment: Partner with product managers, enterprise and Salesforce architects, and engineering teams to coordinate design, data models, and release sequencing.- Lead Data Migration Readiness: Govern data discovery, profiling, cleansing, mapping, and migration rehearsals to protect data integrity.- Manage Dependencies and Risks: ...
... operates with significant autonomy, leads through influence (not authority), and serves as a trusted advisor to stakeholders across Engineering, UX, Architecture, Data, Marketing, Sales, and Business teams. While not a people manager, you are expected to raise the bar on product practices, lead crossteam alignment, and guide ...
... (sub-100ms) while maintaining model quality and managing compute costs within budget. Cross-functional alignment: coordinating model deployment gates across Data Science, Risk, Compliance, IT Security, and Business teams — each with different timelines, priorities, and risk appetites. Keeping pace with the Databricks roadmap: ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... function. The role owns both the insight layer (reporting, analysis and recommendations) and the measurement layer (tracking implementation, tag management and data quality) on which those insights depend. Your Impact GLOBAL DIVERSITY – Work within a diverse global organization, collaborating across brands, cultures, and ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments ...
... worldwide. Role Summary: The Data Architect is responsible for the design and evolution of our enterprise data architecture, with a strong focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities ...
... ensuring that data pipelines are robust, efficient, and scalable Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners. Implements and maintains reliable and scalable data infrastructure to move, process and serve data. Writes, deploys ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...
... protocols Candidate Qualifications - Education: Bachelor's degree in computer science or equivalent - Experience: 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI) - 2+ years of experience in cloud-based data platform development - Expertise in building Azure-based data pipelines, including: ...
... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...
... optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- Design and implement serverless data processing solutions using AWS Lambda.- Use Amazon S3 for scalable data storage and data ...
We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...
... complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, Solutions Architects, and other members of GTM to drive alignment ...