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