197 Snowpipe Jobs - Page 6

Role: Snowflake Data Engineer Mandatory Skills: #Snowflake, #AZURE, #Datafactory, SQL, Python, #DBT / #Databricks . Location (Hybrid) : Bangalore, Hyderabad, Chennai, Pune, Gurugram & Noida. Budget: Up to 50 LPA' Notice: Immediate to 30 Days Serving Notice Experience: 6-11 years Key Responsibilities: Design and develop ETL/ELT pipelines using Azure Data Factory , Snowflake , and DBT . Build and maintain data integration workflows from various data sources to Snowflake. Write efficient and optimized SQL queries for data extraction and transformation. Work with stakeholders to understand business requirements and translate them into technical solutions. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Maintain and enforce data quality, governance, and documentation standards. Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment. Must-Have Skills: Strong experience with Azure Cloud Platform services. Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines. Proficiency in SQL for data analysis and transformation. Hands-on experience with Snowflake and SnowSQL for data warehousing. Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse. Experience working in cloud-based data environments with large-scale datasets. Good-to-Have Skills: Experience with Azure Data Lake , Azure Synapse , or Azure Functions . Familiarity with Python or PySpark for custom data transformations. Understanding of CI/CD pipelines and DevOps for data workflows. Exposure to data governance , metadata management , or data catalog tools. Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus. Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. 5+ years of experience in data engineering roles using Azure and Snowflake. Strong problem-solving, communication, and collaboration skills.

Role: Snowflake Data Engineer Mandatory Skills: #Snowflake, #AZURE, #Datafactory, SQL, Python, #DBT / #Databricks . Location (Hybrid) : Bangalore, Hyderabad, Chennai, Pune, Gurugram & Noida. Budget: Up to 50 LPA' Notice: Immediate to 30 Days Serving Notice Experience: 6-11 years Key Responsibilities: Design and develop ETL/ELT pipelines using Azure Data Factory , Snowflake , and DBT . Build and maintain data integration workflows from various data sources to Snowflake. Write efficient and optimized SQL queries for data extraction and transformation. Work with stakeholders to understand business requirements and translate them into technical solutions. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Maintain and enforce data quality, governance, and documentation standards. Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment. Must-Have Skills: Strong experience with Azure Cloud Platform services. Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines. Proficiency in SQL for data analysis and transformation. Hands-on experience with Snowflake and SnowSQL for data warehousing. Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse. Experience working in cloud-based data environments with large-scale datasets. Good-to-Have Skills: Experience with Azure Data Lake , Azure Synapse , or Azure Functions . Familiarity with Python or PySpark for custom data transformations. Understanding of CI/CD pipelines and DevOps for data workflows. Exposure to data governance , metadata management , or data catalog tools. Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus. Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. 5+ years of experience in data engineering roles using Azure and Snowflake. Strong problem-solving, communication, and collaboration skills.

Role & responsibilities 1.Mastery of SQL, especially within cloud-based data warehouses like Snowflake. Experience on Snowflake with data architecture, design, analytics and Development. 2.Detailed knowledge and hands-on working experience in Snowpipe/ SnowProc/ SnowSql. 3.Technical lead with strong development background having 2-3 years of rich hands-on development experience in snowflake. 4.Experience designing highly scalable ETL/ELT processes with complex data transformations, data formats including error handling and monitoring. Good working knowledge of ETL/ELT tool DBT for transformation 5.Analysis, design, and development of traditional data warehouse and business intelligence solutions. Work with customers to understand and execute their requirements. 6.Working knowledge of software engineering best practices. Should be willing to work in implementation & support projects. Flexible for Onsite & Offshore traveling. 7.Collaborate with other team members to ensure the proper delivery of the requirement. Ability to think strategically about the broader market and influence company direction. 8.Should have good communication skills, team player & good analytical skills. Snowflake certified is preferable. Contact Soniya soniya05.mississippiconsultants@gmail.com

Job Description. Tietoevry Create is seeking a skilled Snowflake Developer to join our team in Bengaluru, India. In this role, you will be responsible for designing, implementing, and maintaining data solutions using Snowflake's cloud data platform. You will work closely with cross-functional teams to deliver high-quality, scalable data solutions that drive business value.. 7+ years of experience in designing, development of Datawarehouse & Data integration projects (SSE / TL level). Experience of working in Azure environment. Developing ETL pipelines in and out of data warehouse using a combination of Python and Snowflakes SnowSQL Writing SQL queries against Snowflake.. Good understanding of database design concepts Transactional / Datamart / Data warehouse etc.. Expertise in loading from disparate data sets and translating complex functional and technical requirements into detailed design. Will also perform analysis of vast data stores and uncover insights.. Snowflake data engineers will be responsible for architecting and implementing substantial scale data intelligence solutions around Snowflake Data Warehouse.. A solid experience and understanding of architecting, designing, and operationalizing large-scale data & analytics solutions on Snowflake Cloud Data Warehouse is a must.. Very good articulation skill. Flexible and ready to learn new skills.. Additional Information. At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation.?Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.. Diversity,?equity and?inclusion (tietoevry.com). Show more Show less

• Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns. • Design and implement robust data architectures to meet and support business requirements leveraging Snowflake platform capabilities. • Develop and enforce data modelling standards and best practices for Snowflake environments. • Develop, optimize, and maintain Snowflake data warehouses. • Leverage Snowflake features such as clustering, materialized views, and semi structured data processing to enhance data solutions. • Ensure data architecture solutions meet performance, security, and scalability requirements. • Stay current with the latest developments and features in Snowflake and related technologies, continually enhancing our data capabilities. • Collaborate with cross-functional teams to gather business requirements, translate them into effective data solutions in Snowflake and provide data-driven insights. • Stay updated with the latest trends and advancements in data architecture and Snowflake technologies. • Provide mentorship and guidance to junior data engineers and architects. • Troubleshoot and resolve data architecture-related issues effectively. Skills Requirement: • 5+ years of proven experience as a Data Engineer with 3+ years as Data Architect. • Proficiency in Snowflake with Hands-on experience with Snowflake features such as clustering, materialized views, and semi-structured data processing. • Experience in designing and building manual or auto ingestion data pipeline using Snowpipe. • Design and Develop automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with SnowSQL. • SnowSQL Experience in developing stored Procedures writing Queries to analyse and transform data • Working experience on ETL tools like Fivetran, DBT labs, MuleSoft • Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel and automating them. • Excellent problem-solving skills and attention to detail. • Effective communication and collaboration abilities. • Relevant certifications (e.g., SnowPro Core / Advanced) are a must have. • Must have expertise in AWS. Azure, Salesforce Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data. • Strong communication and exceptional team player with effective problem-solving skills Educational Qualification Required: • Masters degree in Business Management (MBA / PGDM) / Bachelor's degree in computer science, Information Technology, or related field.

Job Requirements skilled professional with expertise in Snowflake and SQL to join our team. The candidate will be responsible for managing, optimizing, and scaling our Snowflake data warehouse solutions while ensuring seamless integration with SQL-based systems. Key Responsibilities Design, develop, and maintain Snowflake databases and data warehouse solutions. Build and optimize SQL queries for data processing and reporting. Collaborate with cross-functional teams to implement data models and pipelines. Ensure data security, quality, and compliance in Snowflake environments. Monitor and troubleshoot Snowflake and SQL systems for performance issues. Create documentation and best practices for Snowflake and SQL usage. Qualifications Proven experience in Snowflake database management and development. Strong proficiency in SQL programming and query optimization. Knowledge of ETL processes and data warehousing concepts. Familiarity with cloud platforms and integration tools is a plus. Excellent problem-solving skills and attention to detail. Preferred Skills Experience with Snowflake tools such as Snowpipe, Time Travel, and Cloning. Understanding of schema design and database architecture. Ability to work with large datasets and implement efficient storage solutions. Familiarity with data visualization tools for reporting purposes. Technology Engineering Expertise Able to deal with diverse set of stakeholders Proficient in articulation communication and presentation High integrity Problem solving skills learning attitude Team player

Job Title: EY-GDS Consulting-AI And DATA-Snowflake Data Engineer-Senior Business Unit Description: The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Position Summary Provides technical expertise and may coordinate some day to day deliverables for a team. Assists in the technical design of large business systems; builds applications, interfaces between applications, understands data security, retention, and recovery. Can research technologies independently and recommend appropriate solutions. Contributes to technology-specific best practices & standards; contributes to success criteria from design through deployment, including, reliability, cost-effectiveness, performance, data integrity, maintainability, reuse, extensibility, usability and scalability; contributes expertise on significant application components, vendor products, program languages, databases, operating systems, etc., and guides less experienced staff during the build and test phases. Specific Responsibilities Act as a technical guide on one or more applications utilized by DTCC. Work with the Business System Analyst to ensure designs satisfy functional requirements. Work with large, complex data sets and high throughput data pipelines that meet business requirements. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Build data and analytics tools that utilize the data pipeline to provide actionable insights to operational efficiency and other key business performance metrics. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs. Collaborate with data scientists and architects on several projects. Solve various complex problems. Key skills: 5+ Years of Experience as Data Engineer or in similar role 4+ Years Cloud Datawarehouse Snowflake experience with Stream, Snowpipe ,Task, Snowpark etc 4+ years of Python development experience is necessary. Experience in distributed processing frameworks like spark, databricks, apache iceberg, data lakehouse architecture patterns Experience in a cloud-based environment. Experience with asynchronous processing using Python. Hands-on experience with database technologies (e.g. SQL and NoSql) with performance tuning. Technical expertise with data technologies and/or machine learning techniques Great numerical and analytical skills Ability to write reusable code components. Open-minded to the new technologies, frameworks Qualifications Minimum of 6 years of related experience Bachelor's degree preferred or equivalent experience With 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm simplifies the complexities of clearing, settlement, asset servicing, data management, data reporting and information services across asset classes, bringing increased security and soundness to financial markets. In 2022, DTCCs subsidiaries processed securities transactions valued at U.S. $2.5 quadrillion. Its depository provides custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $72 trillion. DTCCs Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 17.5 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, Twitter, YouTube and Facebook. Interested candidates Kindly Apply to the below Link https://careers.ey.com/job-invite/1586345/

Skills -Snowflake, AWS, SQL, PLSQL/TSQL, DWH, Python, PySpark •Experience with Snowflake utilities, SnowSQL, SnowPipe, Able to administer & monitor Snowflake computing platform •Good in Cloud Computing AWS NP-Immediate Email- sachin@assertivebs.com

Key Responsibilities: Support Snowflake Native Apps built by developers across the enterprise Review the design, development, and optimization of native apps using Snowflake and Snowpark Container Services Troubleshoot complex SQL queries, UDFs , and Python scripts for data processing in client environments Engage directly with clients to understand business needs, present technical designs, and resolve application use issues Ensure data quality, security, and performance across all stages of the data lifecycle Coordinate with support engineers and provide a bridge to data engineering Collaborate with cross-functional teams including Product, Analytics, and DevOps Required Skills & Experience: 6+ years of experience in Data Engineering or related field 3+ years of experience working in client-facing roles , including requirement gathering, solutioning, and demos Hands-on expertise with Snowflake (warehouse management, resource monitoring, Snow pipe, etc.) Strong SQL programming and performance tuning skills Proficiency in Python , including creating and managing UDFs Experience building or supporting Snowflake native applications Familiarity with Snowpark Container Services and deploying containerized workloads in Snowflake Good to Have Skills: Strong understanding of data modelling, ETL/ELT processes, and cloud data architecture Excellent problem-solving, communication, and leadership skills Preferred Qualifications: SnowPro certifications Experience with CI/CD pipelines Exposure to Tableau, Power BI, or other visualisation tools (nice to have) Leader of client-support or escalation team Role & responsibilities Preferred candidate profile

The Snowflake Data Specialist will manage projects in Data Warehousing, focusing on Snowflake and related technologies. The role requires expertise in data modeling, ETL processes, and cloud-based data solutions.

Key Responsibilities: Lead the end-to-end Snowflake platform implementation , including architecture, design, data modeling, and governance. Oversee the migration of data and pipelines from legacy platforms to Snowflake, ensuring quality, reliability, and business continuity. Design and optimize Snowflake-specific data models , including use of clustering keys, materialized views, Streams, and Tasks. Build and manage scalable ELT/ETL pipelines using modern tools and best practices. Define and implement standards for Snowflake development , testing, and deployment, including CI/CD automation. Collaborate with cross-functional teams including data engineering, analytics, DevOps, and business stakeholders. Establish and enforce data security , privacy, and governance policies using Snowflakes native capabilities. Monitor and tune system performance and cost efficiency through appropriate warehouse sizing and usage patterns. Lead code reviews, technical mentoring, and documentation for Snowflake-related processes. Required Snowflake Expertise: Snowflake Architecture – Deep understanding of virtual warehouses, data sharing, multi-cluster, zero-copy cloning. Ability to enhance architecture and implement solutions as per the architecture. Performance Optimization – Proficient in tuning queries, clustering, caching, and workload management. Data Engineering – Experience with processing batch, real time using multiple Snowflake features like Snowpipe, Streams & Tasks, stored procedures, and data ingestion patterns. Data Security & Governance – Strong experience with RBAC, dynamic data masking, row-level security, and tagging. Experience enabling such capabilities in Snowflake and at least one enterprise product solution. Advanced SQL – Expertise writing, analyzing, performance optimization of complex SQL queries, transformations, semi-structured data handling (JSON, XML). Cloud Integration – Experience with at least one of the major cloud platforms (AWS/GCP/Azure) and services like S3, Lambda, Step Functions, etc.

Role & responsibilities :Snowflake Developer Skill Set : Snowflake,IICS,ETL,Cloud Experience- 5 Years- 12 Years Location-Pune/Mumbai/Chennai/Bangalore/Hyderabad/Delhi Notice Period: immediate- 30 days If all above criteria matches to your profile please share your updated CV with all below details Total Exp- ? Relevant Exp- ? Current CTC- ? Exp. CTC- ? Notice Period- ? IF serving what is LWD? Pan Card Number -?Mandatory Passport size photo please attach -Mandatory Please share your all above details on sneha.joshi@alikethoughts.com

Greetings from TCS Recruitment Team! Role: SNOWFLAKE LEAD/ SNOWFLAKE SOLUTION ARCHITECT/ SNOWFLAKE ML ENGINEER Years of experience: 7 to 18 Years Walk-In-Drive Location: Kochi Walk-in-Location Details: Tata Consultancy Services TCS Centre SEZ Unit, Infopark Kochi Phase 1, Infopark Kochi P.O, Kakkanad, Kochi - 682042, Kerala India Drive Time: 9 am to 1:00 PM Date: 21-Jun-25 Must Have Deep knowledge of Snowflakes architecture, SnowSQL, Snowpipe, Streams, Tasks, Stored Procedures. Strong understanding of cloud platforms (AWS, Azure, GCP). Proficiency in SQL, Python, or scripting languages for data operations. Experience with ETL/ELT tools, data integration, and performance tuning. Familiarity with data security, governance, and compliance standards (GDPR, HIPAA, SOC 2).

Inviting applications for the role of Lead Consultant- Snowflake Data Engineer( Snowflake+Python+Cloud)! In this role, the Snowflake Data Engineer is responsible for providing technical direction and lead a group of one or more developer to address a goal. Job Description: Experience in IT industry Working experience with building productionized data ingestion and processing data pipelines in Snowflake Strong understanding on Snowflake Architecture Fully well-versed with data warehousing concepts. Expertise and excellent understanding of Snowflake features and integration of Snowflake with other data processing. Able to create the data pipeline for ETL/ELT Excellent presentation and communication skills, both written and verbal Ability to problem solve and architect in an environment with unclear requirements. Able to create the high level and low-level design document based on requirement. Hands on experience in configuration, troubleshooting, testing and managing data platforms, on premises or in the cloud. Awareness on data visualisation tools and methodologies Work independently on business problems and generate meaningful insights Good to have some experience/knowledge on Snowpark or Streamlit or GenAI but not mandatory. Should have experience on implementing Snowflake Best Practices Snowflake SnowPro Core Certification will be added an advantage Roles and Responsibilities: Requirement gathering, creating design document, providing solutions to customer, work with offshore team etc. Writing SQL queries against Snowflake, developing scripts to do Extract, Load, and Transform data. Hands-on experience with Snowflake utilities such as SnowSQL, Bulk copy, Snowpipe, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight, Steamlit Have experience with Snowflake cloud data warehouse and AWS S3 bucket or Azure blob storage container for integrating data from multiple source system. Should have have some exp on AWS services (S3, Glue, Lambda) or Azure services ( Blob Storage, ADLS gen2, ADF) Should have good experience in Python/Pyspark.integration with Snowflake and cloud (AWS/Azure) with ability to leverage cloud services for data processing and storage. Proficiency in Python programming language, including knowledge of data types, variables, functions, loops, conditionals, and other Python-specific concepts. Knowledge of ETL (Extract, Transform, Load) processes and tools, and ability to design and develop efficient ETL jobs using Python or Pyspark. Should have some experience on Snowflake RBAC and data security. Should have good experience in implementing CDC or SCD type-2. Should have good experience in implementing Snowflake Best Practices In-depth understanding of Data Warehouse, ETL concepts and Data Modelling Experience in requirement gathering, analysis, designing, development, and deployment. Should Have experience building data ingestion pipeline Optimize and tune data pipelines for performance and scalability Able to communicate with clients and lead team. Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in deployment using CI/CD tools and exp in repositories like Azure repo , Github etc. Qualifications we seek in you! Minimum qualifications B.E./ Masters in Computer Science, Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant as Snowflake Data Engineer. Skill Metrix: Snowflake, Python/PySpark, AWS/Azure, ETL concepts, & Data Warehousing concepts

Inviting applications for the role of Lead Consultant- Snowflake Data Engineer( Snowflake+Python+Cloud)! In this role, the Snowflake Data Engineer is responsible for providing technical direction and lead a group of one or more developer to address a goal. Job Description: Experience in IT industry Working experience with building productionized data ingestion and processing data pipelines in Snowflake Strong understanding on Snowflake Architecture Fully well-versed with data warehousing concepts. Expertise and excellent understanding of Snowflake features and integration of Snowflake with other data processing. Able to create the data pipeline for ETL/ELT Excellent presentation and communication skills, both written and verbal Ability to problem solve and architect in an environment with unclear requirements. Able to create the high level and low-level design document based on requirement. Hands on experience in configuration, troubleshooting, testing and managing data platforms, on premises or in the cloud. Awareness on data visualisation tools and methodologies Work independently on business problems and generate meaningful insights Good to have some experience/knowledge on Snowpark or Streamlit or GenAI but not mandatory. Should have experience on implementing Snowflake Best Practices Snowflake SnowPro Core Certification will be added an advantage Roles and Responsibilities: Requirement gathering, creating design document, providing solutions to customer, work with offshore team etc. Writing SQL queries against Snowflake, developing scripts to do Extract, Load, and Transform data. Hands-on experience with Snowflake utilities such as SnowSQL, Bulk copy, Snowpipe, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight, Steamlit Have experience with Snowflake cloud data warehouse and AWS S3 bucket or Azure blob storage container for integrating data from multiple source system. Should have have some exp on AWS services (S3, Glue, Lambda) or Azure services ( Blob Storage, ADLS gen2, ADF) Should have good experience in Python/Pyspark.integration with Snowflake and cloud (AWS/Azure) with ability to leverage cloud services for data processing and storage. Proficiency in Python programming language, including knowledge of data types, variables, functions, loops, conditionals, and other Python-specific concepts. Knowledge of ETL (Extract, Transform, Load) processes and tools, and ability to design and develop efficient ETL jobs using Python or Pyspark. Should have some experience on Snowflake RBAC and data security. Should have good experience in implementing CDC or SCD type-2. Should have good experience in implementing Snowflake Best Practices In-depth understanding of Data Warehouse, ETL concepts and Data Modelling Experience in requirement gathering, analysis, designing, development, and deployment. Should Have experience building data ingestion pipeline Optimize and tune data pipelines for performance and scalability Able to communicate with clients and lead team. Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs. Good to have experience in deployment using CI/CD tools and exp in repositories like Azure repo , Github etc. Qualifications we seek in you! Minimum qualifications B.E./ Masters in Computer Science, Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant as Snowflake Data Engineer. Skill Metrix: Snowflake, Python/PySpark, AWS/Azure, ETL concepts, & Data Warehousing concepts

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications. Perks and benefits: Mention available facilities and benefits the company is offering with this job.

Job Title: Snowflake Developer Experience: 5+ years Location: Pune and Hyderabad (Hybrid) Job Type: Full-time About Us: We're seeking an experienced Snowflake Developer to join our team in Pune and Hyderabad. As a Snowflake Developer, you will be responsible for designing, developing, and implementing data warehousing solutions using Snowflake. You will work closely with cross-functional teams to ensure seamless data integration and analytics. Key Responsibilities: Design, develop, and deploy Snowflake-based data warehousing solutions Collaborate with stakeholders to understand data requirements and develop data models Optimize Snowflake performance, scalability, and security Develop and maintain Snowflake SQL scripts, stored procedures, and user-defined functions Troubleshoot data integration and analytics issues Ensure data quality, integrity, and compliance with organizational standards Work with data engineers, analysts, and scientists to ensure seamless data integration and analytics Stay up-to-date with Snowflake features and best practices Requirements: 5+ years of experience in Snowflake development and administration Strong expertise in Snowflake architecture, data modeling, and SQL Experience with data integration tools (e.g., Informatica, Talend, Informatica PowerCenter) Proficiency in Snowflake security features and access control Strong analytical and problem-solving skills Excellent communication and collaboration skills Experience working in hybrid or remote teams Bachelor's degree in Computer Science, Engineering, or related field Nice to Have: Experience with cloud platforms (AWS, Azure, GCP) Knowledge of data governance and data quality frameworks Experience with ETL/ELT tools (e.g., Informatica PowerCenter, Talend, Microsoft SSIS) Familiarity with data visualization tools (e.g., Tableau, Power BI) Experience working with agile methodologies

Role & responsibilities Collaborate with DW/BI leads to understand new ETL pipeline development requirements Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler (UC4 and Airflow) Preferred candidate profile Bachelor's and/or masters degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Should have experience at least in 1 end to end implementation of Snowflake cloud data warehouse and 2 End to end data warehouse implementations on-premise. Expertise in Snowflake data modelling, ELT using SQL, implementing stored Procedures and standard DWH and ETL concepts Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe Experience in Data Migration from RDBMS to Snowflake cloud data warehouse Deep understanding of Star and Snowflake dimensional modelling Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Certified in Snowflake (SnowPro Core) (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Self-motivated, collaborative, innovative, eager to learn, and hands on

Responsibilities A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. • You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. • You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: • Knowledge of design principles and fundamentals of architecture • Understanding of performance engineering • Knowledge of quality processes and estimation techniques • Basic understanding of project domain • Ability to translate functional / nonfunctional requirements to systems requirements • Ability to design and code complex programs • Ability to write test cases and scenarios based on the specifications • Good understanding of SDLC and agile methodologies • Awareness of latest technologies and trends • Logical thinking and problem solving skills along with an ability to collaborate Technical and Professional Requirements: • Primary skills: Technology->Data on Cloud-DataStore->Snowflake Preferred Skills: Technology->Data on Cloud-DataStore->Snowflake

Responsibilities A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. • You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. • You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: • Knowledge of design principles and fundamentals of architecture • Understanding of performance engineering • Knowledge of quality processes and estimation techniques • Basic understanding of project domain • Ability to translate functional / nonfunctional requirements to systems requirements • Ability to design and code complex programs • Ability to write test cases and scenarios based on the specifications • Good understanding of SDLC and agile methodologies • Awareness of latest technologies and trends • Logical thinking and problem solving skills along with an ability to collaborate Technical and Professional Requirements: • Primary skills: Technology->Data on Cloud-DataStore->Snowflake Preferred Skills: Technology->Data on Cloud-DataStore->Snowflake

Hiring for Snowflake Developer with experience range 2 years & above Mandatory Skills: Snowflake Education: BE/B.Tech/MCA/M.Tech/MSc./MS Location- PAN INDIA

Hiring for Snowflake Developer with experience range 2 years & above Mandatory Skills: Snowflake Education: BE/B.Tech/MCA/M.Tech/MSc./MS Location- PAN INDIA

Job Description: SQL & Database Management: Deep knowledge of relational databases (PostgreSQL), cloud-hosted data platforms (AWS, Azure, GCP), and data warehouses like Snowflake . ETL/ELT Tools: Experience with SnapLogic, StreamSets, or DBT for building and maintaining data pipelines. / ETL Tools Extensive Experience on data Pipelines Data Modeling & Optimization: Strong understanding of data modeling, OLAP systems, query optimization, and performance tuning. Cloud & Security: Familiarity with cloud platforms and SQL security techniques (e.g., data encryption, TDE). Data Warehousing: Experience managing large datasets, data marts, and optimizing databases for performance. Agile & CI/CD: Knowledge of Agile methodologies and CI/CD automation tools. Role & responsibilities Build the data pipeline for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud database technologies. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data needs. Work with data and analytics experts to strive for greater functionality in our data systems. Assemble large, complex data sets that meet functional / non-functional business requirements. – Ability to quickly analyze existing SQL code and make improvements to enhance performance, take advantage of new SQL features, close security gaps, and increase robustness and maintainability of the code. – Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability, etc. – Unit Test databases and perform bug fixes. – Develop best practices for database design and development activities. – Take on technical leadership responsibilities of database projects across various scrum teams. Manage exploratory data analysis to support dashboard development (desirable) Required Skills: – Strong experience in SQL with expertise in relational database(PostgreSQL preferrable cloud hosted in AWS/Azure/GCP) or any cloud-based Data Warehouse (like Snowflake, Azure Synapse). – Competence in data preparation and/or ETL/ELT tools like SnapLogic, StreamSets, DBT, etc. (preferably strong working experience in one or more) to build and maintain complex data pipelines and flows to handle large volume of data. – Understanding of data modelling techniques and working knowledge with OLAP systems – Deep knowledge of databases, data marts, data warehouse enterprise systems and handling of large datasets. – In-depth knowledge of ingestion techniques, data cleaning, de-dupe, etc. – Ability to fine tune report generating queries. – Solid understanding of normalization and denormalization of data, database exception handling, profiling queries, performance counters, debugging, database & query optimization techniques. – Understanding of index design and performance-tuning techniques – Familiarity with SQL security techniques such as data encryption at the column level, Transparent Data Encryption(TDE), signed stored procedures, and assignment of user permissions – Experience in understanding the source data from various platforms and mapping them into Entity Relationship Models (ER) for data integration and reporting(desirable). – Adhere to standards for all database e.g., Data Models, Data Architecture and Naming Conventions – Exposure to Source control like GIT, Azure DevOps – Understanding of Agile methodologies (Scrum, Itanban) – experience with NoSQL database to migrate data into other type of databases with real time replication (desirable). – Experience with CI/CD automation tools (desirable) – Programming language experience in Golang, Python, any programming language, Visualization tools (Power BI/Tableau) (desirable).

Position: Snowflake - Senior Technical Lead Experience: 8-11 years Location: Noida/ Bangalore Education: B.E./ B.Tech./ MCA Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security Good to have Skills: Snowpark, Data Build Tool, Finance Domain Preferred Skills Experience with Snowflake-specific features: Snowpipe, Streams & Tasks, Secure Data Sharing. Experience in data warehousing, with at least 2 years focused on Snowflake. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning. Familiarity with data security, compliance requirements, and governance best practices. Experience in Python, Scala, or Java for Snowpark development. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM) Key Responsibilities Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe). Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion). Monitor query performance and resource utilization; tune warehouses, caching, and clustering. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads. Define and enforce role-based access control (RBAC), masking policies, and object tagging. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured. Establish best practices for dimensional modeling, data vault architecture, and data quality. Create and maintain data dictionaries, lineage documentation, and governance standards. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives.

Locations-Pune, Bangalore, Hyderabad, Indore Contract duration 6 month Responsibilities - Must have experience working as a Snowflake Admin/Development in Data Warehouse, ETL, BI projects. - Must have prior experience with end to end implementation of Snowflake cloud data warehouse and end to end data warehouse implementations on-premise preferably on Oracle/Sql server. - Expertise in Snowflake - data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts - Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, - Zero copy clone, time travel and understand how to use these features - Expertise in deploying Snowflake features such as data sharing. - Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python - Experience in Data Migration from RDBMS to Snowflake cloud data warehouse - Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling) - Experience with data security and data access controls and design- - Experience with AWS or Azure data storage and management technologies such as S3 and Blob - Build processes supporting data transformation, data structures, metadata, dependency and workload management- - Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot. - Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface. - Must have experience of Agile development methodologies. Good to have - CI/CD in Talend using Jenkins and Nexus. - TAC configuration with LDAP, Job servers, Log servers, database. - Job conductor, scheduler and monitoring. - GIT repository, creating user & roles and provide access to them. - Agile methodology and 24/7 Admin and Platform support. - Estimation of effort based on the requirement. - Strong written communication skills. Is effective and persuasive in both written and oral communication.