We are seeking a highly skilled Data Architect with expertise in AWS cloud services and data integration to join our team. The ideal candidate will be responsible for architecting, designing, and implementing scalable, secure, and high-performance data solutions. This role requires close collaboration with cross-functional teams and leadership in driving technical excellence across all stages of the data lifecycle. Sr. Data Engineer (AWS Tech Stack) Location: Pune (WFO) Experience : 5+ Years Roles & Responsibilities Architect and Design: Design and implement data integration solutions using AWS services. Develop architecture blueprints and detailed documentation. Ensure solutions are scalable, secure, and aligned with best practices. Implementation of Logs, Alerting and Monitoring at various stages of Data flow. Data Management: Manage and optimize ETL processes to ensure efficient data flow. Integrate data from various sources into data lakes, data warehouses, and other storage solutions. Ensure data quality, consistency, and integrity across the data lifecycle. Data Pipeline Management Ensuring the data ingestions and pipelines are robust and scalable for huge data sets. Collaboration and Leadership: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and deliver solutions. Lead technical discussions and provide guidance to the development team. Conduct code reviews and ensure adherence to coding standards. Performance Optimization: Monitor and optimize the performance of data integration processes. Troubleshoot and resolve issues related to data integration and ETL pipelines. Implement and manage data security and compliance measures. Semantic and Aggregation layer design and review Dashboard performance tuning (Looker) Qualifications: Must have Education and Experience: Bachelors or Masters degree in Computer Science, Information Technology, or related field. Minimum of 5 years of experience in data integration and ETL processes. Extensive experience with AWS services such as AWS Glue, AWS Lambda, Amazon Redshift, Amazon S3, and AWS Data Pipeline. Technical Skills: Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Strong programming skills in Python Experience with data modeling, data warehousing, and big data technologies. Familiarity with data governance and data security best practices. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Good to Have AWS Certified Solutions Architect or equivalent certification. Experience with machine learning and AI technologies. Familiarity with other cloud platforms (Google Cloud). Experience and exposure to US health care and Life science GCP Look ML Apply today to be part of an innovative team driving data excellence through cutting-edge AWS technologies on below mail Id kiran.ghorpade@neutrinotechlabs.com
We are looking for a skilled and experienced Data Engineer with hands-on expertise in Azure Data Services to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and enterprise-grade data solutions using modern Azure tools and technologies. Azure Data Engineer Job Title : Azure Data Engineer Location : Pune Experience : 8+ years Key Responsibilities: Design, develop, and maintain scalable data pipelines using Azure Data Factory , Azure Synapse Analytics , Databricks , and Azure Data Lake Storage (ADLS) . Implement data ingestion, transformation, and integration processes from various sources (on-premises/cloud). Create and manage Azure resources for data solutions, including storage accounts, databases, and compute services. Develop and optimize SQL scripts, stored procedures, and views for data transformation and reporting. Ensure data quality, governance, and security standards are met using tools like Azure Purview , Azure Key Vault , and Role-Based Access Control (RBAC) . Collaborate with Data Scientists, BI Developers, and other stakeholders to deliver enterprise- grade data solutions. Monitor and troubleshoot data pipeline failures and performance issues. Document technical solutions and maintain best practices. Technical Skills Required: Azure Data Factory (ADF) Expertise in building pipelines, triggers, linked services, etc. Azure Synapse Analytics / SQL Data Warehouse Azure Databricks / Spark / PySpark Azure Data Lake (Gen2) Azure SQL / Cosmos DB / SQL Server Strong knowledge of SQL , T-SQL , and performance tuning Good understanding of ETL/ELT frameworks and data modeling concepts (Star/Snowflake schema) Experience with CI/CD pipelines using Azure DevOps Familiarity with tools like Git , ARM templates , Terraform (optional) Knowledge of Power BI integration is a plus Soft Skills & Additional Qualifications: Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to work independently and lead junior team members Azure certifications (e.g., DP-203 ) are preferred Apply Now to be a part of a dynamic and forward-thinking data team on below mail id kiran.ghorpade@neutrinotechlabs.com
Data Scientist Location: Pune (WFO) Experience : 8+ Years Work Mode: WFO About the role: We are seeking a highly skilled Senior Data Scientist to join our Data & Analytics function, which drives business insights and decision-making through advanced analytics, machine learning, and data-driven solutions. This role specifically supports Pharma Commercial Web Analytics and the migration of over 100K customers from a legacy web portal (Order Express) to a new enterprise platform, Vantus HQ. The ideal candidate will possess strong business acumen, technical depth, and the ability to translate analytical findings into actionable business recommendations. Key Responsibilities Collaborate with business stakeholders to understand challenges, define problems, and identify analytical opportunities. Perform exploratory data analysis (EDA) to identify trends, root causes, and actionable insights. Design and develop ML/AI models for customer behavior prediction, content and message recommendations, and migration risk mitigation. Build and deploy recommendation systems to enhance user experience on e-commerce or web platforms. Summarize insights, financial impacts, and pros/cons of various analytical approaches. Contribute to MLOps model deployment, monitoring, and maintenance in production. Support and maintain existing analytical models, ensuring accuracy and performance. Act as a mentor to junior team members and guide them in technical and business understanding. Work directly with business teams to demonstrate use cases and measurable value derived from analytics solutions. What You’ll Bring 8+ years of experience in Data Science, ML Ops, or Advanced Analytics . Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics , or related field. Proficiency in Python, R, and SQL for data manipulation and model development. Strong experience in building and deploying machine learning models and handling large datasets. Understanding of web analytics platforms and content personalization frameworks. Excellent communication and stakeholder management skills; ability to explain complex findings to non-technical audiences. Proven ability to understand business use cases , translate them into analytical solutions, and quantify value realization. Experience working on e-commerce recommendation systems or similar customer-centric ML models is a strong plus. Why Join Us Opportunity to lead impactful projects directly influencing business outcomes. Work in a collaborative environment with cross-functional teams. Be part of a forward-thinking organization leveraging AI & analytics to transform decision-making.