Snowflake Jobs in Ahmedabad

Job Description: We are seeking a Snowflake Lead to design and manage scalable data pipelines and solutions on Snowflake. The ideal candidate will have a strong understanding of Snowflake architecture and data warehousing concepts, along with hands-on experience in ETL processes, SQL optimization, and performance monitoring. Experience with Fivetran is a plus. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake. Implement and manage Snowpipe, Time Travel, and Fail Safe features. Develop and optimize SQL queries for data extraction and transformation. Build and maintain ETL processes to integrate data from multiple sources into Snowflake. Monitor and troubleshoot data warehouse performance issues. Ensure data security and governance practices are in place. Collaborate with cross-functional teams to support business intelligence and reporting requirements. Apply a deep understanding of Snowflake architecture to deliver robust solutions. Experience with Fivetran is an added advantage. Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience with Snowflake and data warehousing concepts. Proficiency in SQL and ETL tools (e.g., Talend, Informatica, etc.). Strong problem-solving and analytical skills. Excellent collaboration and communication skills. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

We are seeking a skilled AWS Redshift Developer to join our team and help us optimize our data warehousing and analytics capabilities. Roles & Responsibilities: Design, develop, and maintain data models and ETL processes in Amazon Redshift. Write complex SQL queries and optimize performance for data retrieval and reporting. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions. Implement best practices for data governance, security, and performance tuning in Redshift. Monitor system performance and troubleshoot any issues that arise. Create and maintain documentation for data models, ETL processes, and system architecture. Stay updated with the latest AWS services and features to enhance data management and analytics capabilities. Requirement: 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift. Proficient in SQL and experience with ETL tools (e.g., AWS Glue, Apache Airflow). Familiarity with data modelling concepts and methodologies. Experience with AWS services such as S3, Lambda, and EC2. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. AWS certifications (e.g., AWS Certified Data Analytics - Specialty). Knowledge of other AWS data services (e.g., RDS, DynamoDB). Experience with BI tools (e.g., Tableau, Power BI) for data visualization. Qualification : 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift.

Job Title: QA Tech Lead Blockchain & Cloud Technologies Location: Ahmedabad, India Experience Required: 1 to 10 Years About the Role As a QA Tech Lead, you ll play a pivotal role in driving product quality and team culture. You ll work closely with a dynamic and supportive team to deliver high-impact features using agile methodologies. This is a unique opportunity to be at the forefront of blockchain technology, cloud infrastructure, and data pipelines. Key Responsibilities Lead quality assurance efforts across multiple products and teams. Design and implement scalable QA strategies, automation frameworks, and test plans. Collaborate with cross-functional teams including developers, product managers, and DevOps. Contribute to the development of backend systems using Node.js, TypeScript, and Python. Design, develop, and maintain ETL pipelines for processing financial market data. Own product ideas from conception through delivery. Experiment with innovative solutions in a blockchain-first environment. Ensure continuous delivery and integration within a serverless AWS infrastructure. Tech Stack You'll Work With Languages & Frameworks: Node.js, JavaScript, TypeScript, Python Cloud & Infrastructure: AWS (Lambda, Fargate), Docker, Terraform Testing & QA: Puppeteer, Playwright, Cypress Databases: PostgreSQL, Snowflake Data & Messaging: Kafka, ETL pipelines Bonus Technologies: Rust, Solidity, Smart Contracts Requirements 8+ years of hands-on engineering experience. Strong command over distributed systems and microservices architecture. Proven experience running APIs (REST/GraphQL) in production environments. Expertise in server-side development with Node.js and Python. Proficiency in designing and executing QA processes and automation. Experience managing cloud-based applications on AWS. Familiarity with modern CI/CD pipelines and DevOps practices. Nice-to-Haves Experience with blockchain development, particularly Rust and Solidity. Knowledge of smart contract testing and deployment. Background in financial market data processing and analytics. Direct impact on product and engineering decisions. Work with cutting-edge technologies in a fast-growing blockchain ecosystem. Be part of a supportive, agile, and innovative team culture. Opportunity to take ownership of ideas and see them through to execution.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Job Overview Join us in shaping both our product and company culture! We re looking for an experienced engineer who thrives in a collaborative environment and enjoys experimenting with innovative solutions for building a blockchain ecosystem. You ll work alongside a supportive team that values agility, quality, and delivering impactful results. What You ll Do Play a core role in defining and implementing our product strategy. Collaborate closely with the team to deliver high-quality solutions with the right balance of speed and precision. Own the full lifecycle of projects from ideation to production release. Design and build scalable backend systems and ETL pipelines for processing financial market data. Work with modern tools and technologies such as Node.js, Typescript, AWS, Docker, Terraform, and Kafka. Contribute to backend architecture, code implementation, and strategies for improving system performance over time. 8+ years of engineering experience, with a strong foundation in distributed systems. Proficiency in Node.js, JavaScript, and Python. Experience with serverless technologies like AWS Lambda and AWS Fargate. Proven track record of running production APIs (REST/GraphQL). Experience working with Puppeteer, Playwright, or Cypress. Strong knowledge of relational databases (PostgreSQL, Snowflake). Hands-on experience managing complex software systems in AWS. Bonus Skills Experience with Rust, Solidity, and smart contract development/testing. Familiarity with Kafka and building ETL pipelines.