197 Snowpipe Jobs - Page 5

Snowflake Developer 5+ years Bangalore/Hyderabad (Hybrid) 1 year Contractual (Extendable) Required Candidate profile Aws Data Services e.g., S3 ,Glue , lambda ( Aws Glue is must ) snowpipe aleast 2-3 core projects in Snowflake Development (SQL Coding has to be strong) NumPy or Pandas

Snowflake Data Engineer1 Snowflake Data Engineer Overall Experience 5+ years of experience in Snowflake and Python. Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python. Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity. Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process. Create and maintain optimal data pipeline architecture. Good knowledge of cloud platforms like AWS/Azure/GCP Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities Good knowledge of Python/Py Spark, advanced features of Python Support business development efforts (proposals and client presentations). Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success. Excellent leadership and interpersonal skills. Eager to contribute to a team-oriented environment. Strong prioritization and multi-tasking skills with a track record of meeting deadlines. Ability to be creative and analytical in a problem-solving environment. Effective verbal and written communication skills. Adaptable to new environments, people, technologies, and processes Ability to manage ambiguity and solve undefined problems.

We are seeking a highly skilled Data Engineer with a strong background in Snowflake and Azure Data Factory (ADF) , and solid experience in Python and SQL . The ideal candidate will play a critical role in designing and building robust, scalable data pipelines, enabling modern cloud-based data platforms including data warehouses and data lakes . Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake , ADF , and Python to support data warehouse and datalake architectures. Build and automate data ingestion pipelines from various structured and semi-structured sources (APIs, flat files, cloud storage, databases) into Snowflake-based data lakes and data warehouses . Perform full-cycle data migration from on-premise and cloud databases (e.g., Oracle, SQL Server, Redshift, MySQL) to Snowflake . Optimize Snowflake workloads: schema design, clustering, partitioning, materialized views, and query performance tuning . Develop and orchestrate data workflows using Azure Data Factory pipelines, triggers, and dataflows. Implement data quality checks , validation processes, and monitoring mechanisms for production pipelines. Collaborate with cross-functional teams including Data Scientists, Analysts, and DevOps to support diverse data needs. Ensure data integrity, security, and governance throughout the data lifecycle. Maintain comprehensive documentation on pipeline design, schema changes, and architectural decisions. Required Skills & Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. 2+ years of hands-on experience with Snowflake , including Snowflake SQL,SnowSQL, Snowpipe, Streams, Tasks, and performance optimization. 1+ year of experience with Azure Data Factory (ADF) – pipeline design,linked services, datasets, triggers, and integration runtime. Strong Python skills for scripting, automation, and data manipulation. Advanced SQL skills – ability to write efficient, complex queries, procedures, and analytical expressions. Experience designing and implementing data lakes and data warehouses on cloud platforms. Familiarity with Azure cloud services , including Azure Data Lake Storage (ADLS), Blob Storage, Azure SQL, and Azure DevOps. Experience with orchestration tools such as Airflow, DBT, or Prefect is a plus. Understanding of data modeling , data warehousing principles , and ETL/ELT best practices . Experience in building scalable data architectures for analytics and business intelligence use cases. Preferred Qualifications (Nice to Have) Experience with CI/CD pipelines for data engineering (e.g., Azure DevOps, GitHub Actions). Familiarity with Delta Lake, Parquet, or other big data formats. Knowledge of data security and governance tools like Purview or Informatica.

Minimum 6 years of experience in Snowflake development, including data modeling, performance tuning, and ELT pipelines. Strong proficiency in writing complex SQL queries, Snowflake procedures, and working with cloud data platforms.

Job Title:Snowflake Developer Experience: 6-8 Years Location:Chennai - Hybrid Job Description : 3+ years of experience as a Snowflake Developer or Data Engineer. Strong knowledge of SQL, SnowSQL, and Snowflake schema design. Experience with ETL tools and data pipeline automation. Basic understanding of US healthcare data (claims, eligibility, providers, payers). Experience working with largescale datasets and cloud platforms (AWS, Azure, GCP). Familiarity with data governance, security, and compliance (HIPAA, HITECH).

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

Job Responsibilities: Exp : 4-9 Year Snowflake SnowPro Certified professionals are First priority. (Mandatory) -At least 4 years of experience with 4+ years on Snowflake Data Cloud. Must-Have Skills: Snowflake Cloud Platform strong hands-on experience ETL/ELT Tools – experience with one or more tools such as: Azure Data Factory AWS Glue Informatica Talend Qlik Replicate Workflow Orchestration – proficiency with tools like: Apache Airflow Control-M Tidal Automation Programming: Advanced SQL Python (including working with dataframes using Pandas, PySpark, or Snowpark) Data Engineering Concepts: Strong knowledge of data pipelines, data wrangling, and optimization Good-to-Have Skills: SQL scripting and procedural logic Data modeling tools (e.g., Erwin, dbt) Integration tools like Fivetran, Stitch. Please Share your updated your resume at poonampal@kpmg.com

Key Responsibilities: Design and implement scalable data models using Snowflake to support business intelligence and analytics solutions. Implement ETL/ELT solutions that involve complex business transformations. Handle end-to-end Data warehousing solutions Migrate the data from legacy systems to Snowflake systems Write complex SQL queries for extracting, transforming, and loading data, ensuring high performance and accuracy. Optimize the SnowSQL queries for better processing speeds Integrate Snowflake with 3rd party applications Use any ETL/ELT technology Implement data security policies, including user access control and data masking, to maintain compliance with organizational standards. Document solutions and data flows. Skills & Qualifications: Experience: 2+ years of experience in data engineering, with a focus on Snowflake. Proficient in SQL and Snowflake-specific SQL functions . Experience with ETL/ELT tools and cloud data integrations. Technical Skills: Strong understanding of Snowflake architecture, features, and best practices. Experience in using Snowpark, Snowpipe, Streamlit Experience in using Dynamic tables is good to have Familiarity with cloud platforms (AWS, Azure, or GCP) and other cloud-based data technologies. Experience with data modeling concepts like star schema, snowflake schema, and data partitioning. Experience with Snowflakes Time Travel, Streams, and Tasks features Experience in data pipeline orchestration. Knowledge of Python or Java for scripting and automation. Knowledge of Snowflake pipelines is good to have Knowledge of data governance practices, including security, compliance, and data lineage.

DBT - Designing, developing, and technical architecture, data pipelines, and performance scaling using tools to integrate Talend data Ensure data quality in a big data environment Very strong on PL/SQL - Queries, Procedures, JOINs. Snowflake SQL - Writing SQL queries against Snowflake and developing scripts in Unix, Python, etc., to perform Extract, Load, and Transform operations. Good to have Talend knowledge and hands-on experience. Candidates who have worked in PROD support would be preferred. Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. Perform data analysis, troubleshoot data issues, and provide technical support to end-users. Develop and maintain data warehouse and ETL processes ensuring data quality and integrity. Complex problem-solving capability and continuous improvement approach Desirable to have Talend / Snowflake Certification Excellent SQL coding skills, excellent communication, and documentation skills Familiar with Agile delivery process. Must be analytical, creative, and self-motivate Work effectively within a global team environment Excellent communication skills.

We are seeking a highly skilled and experienced Snowflake Architect to take charge of designing, developing, and deploying enterprise-grade cloud data solutions. As the ideal candidate, you should possess a robust background in data architecture, cloud data platforms, and Snowflake implementation. Hands-on experience in end-to-end data pipeline and data warehouse design is essential for this role. Your responsibilities will include leading the architecture, design, and implementation of scalable Snowflake-based data warehousing solutions. You will be tasked with defining data modeling standards, best practices, and governance frameworks. Designing and optimizing ETL/ELT pipelines using tools such as Snowpipe, Azure Data Factory, Informatica, or DBT will be a key aspect of your role. Collaboration with stakeholders to understand data requirements and translating them into robust architectural solutions will also be expected. Additionally, you will be responsible for implementing data security, privacy, and role-based access controls within Snowflake. Guiding development teams on performance tuning, query optimization, and cost management in Snowflake is crucial. Ensuring high availability, fault tolerance, and compliance across data platforms will also fall under your purview. Mentoring developers and junior architects on Snowflake capabilities is another important aspect of this role. In terms of Skills & Experience, we are looking for candidates with at least 8+ years of overall experience in data engineering, BI, or data architecture, and a minimum of 3+ years of hands-on Snowflake experience. Expertise in Snowflake architecture, data sharing, virtual warehouses, clustering, and performance optimization is highly desirable. Strong proficiency in SQL, Python, and cloud data services (e.g., AWS, Azure, or GCP) is required. Hands-on experience with ETL/ELT tools like ADF, Informatica, Talend, DBT, or Matillion is also necessary. A good understanding of data lakes, data mesh, and modern data stack principles is preferred. Experience with CI/CD for data pipelines, DevOps, and data quality frameworks is a plus. Solid knowledge of data governance, metadata management, and cataloging is beneficial. Preferred qualifications include holding a Snowflake certification (e.g., SnowPro Core/Advanced Architect), familiarity with Apache Airflow, Kafka, or event-driven data ingestion, knowledge of data visualization tools such as Power BI, Tableau, or Looker, and experience in healthcare, BFSI, or retail domain projects. If you meet these requirements and are ready to take on a challenging and rewarding role as a Snowflake Architect, we encourage you to apply.,

7+ years of experience as a Data Engineer or Snowflake Developer. Expert-level knowledge of SQL (joins, subqueries, CTEs). Experience with ETL tools (e.g., Informatica, Talend, Matillion). Experience with cloud platforms like AWS, Azure, or GCP.

SQL & Database Management : Deep knowledge of relational databases (SQL / 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. Imp :-The candidate should have a strong data engineering background with hands-on experience in handling large volumes of data, data pipelines, and cloud-based data systems the same it should reflect in profile

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! JOB DESCRIPTION/ RESPONSIBILITIES: We are looking for Data Engineers:- Candidate must have a minimum of (10) years of experience in a Data Engineer role, including the following tools/technologies: Experience with relational (SQL) databases. Experience with data warehouses like Oracle, SQL & Snowflake. Technical expertise in data modeling, data mining and segmentation techniques. Experience with building new and troubleshooting existing data pipelines using tools like Pentaho Data Integration (PDI),ADF (Azure Data Factory),Snowpipe,Fivetran,DBT Experience with batch and real time data ingestion and processing frameworks. Experience with languages like Python, Java, etc. Knowledge of additional cloud-based analytics solutions, along with Kafka, Spark and Scala is a plus. * Develops code and solutions that transfers/transforms data across various systems * Maintains deep technical knowledge of various tools in the data warehouse, data hub, * and analytical tools. * Ensures data is transformed and stored in efficient methods for retrieval and use. * Maintains data systems to ensure optimal performance * Develops a deep understanding of underlying business systems involved with analytical systems. * Follows standard software development lifecycle, code control, code standards and * process standards. * Maintains and develops technical knowledge by self-training of current toolsets and * computing environments, participates in educational opportunities, maintains professional * networks, and participates in professional organizations related to their tech skills Systems Analysis * Works with key stakeholders to understand business needs and capture functional and * technical requirements. * Offers ideas that simplify the design and complexity of solutions delivered. * Effectively communicates any expectations required of stakeholders or other resources * during solution delivery. * Develops and executes test plans to ensure successful rollout of solution, including accuracy * and quality of data. Service Management * Effectively communicates to leaders and stakeholders any obstacles that occur during * solution delivery. * Defines and manages promised delivery dates. * Pro-actively research, analyzes, and predicts operational issues, informing leadership * where appropriate. * Offers viable options to solve unexpected/unknown issues that occur during * solution development and delivery. * EDUCATION / JOB-RELATED TECHNICAL SKILLS: * Bachelors Degree in Computer Science/Information Technology or equivalent * Ability to effectively communicate with others at all levels of the Company both verbally and in * writing. Demonstrates a courteous, tactful, and professional approach with employees and * others. * Ability to work in a large, global corporate structure Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. Thats why everything we do is geared toward a sustainable futurefor our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs . We provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Together, we have the opportunity and the power to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! Our Commitment to Diversity, Equity & Inclusion At Copeland, we believe having a diverse, equitable and inclusive environment is critical to our success. We are committed to creating a culture where every employee feels welcomed, heard, respected, and valued for their experiences, ideas, perspectives and expertise . Ultimately, our diverse and inclusive culture is the key to driving industry-leading innovation, better serving our customers and making a positive impact in the communities where we live. Equal Opportunity Employer ,

As a candidate for this role, you should possess knowledge and experience in Migration projects, with a certification in Snowflake. Proficiency in programming languages such as Snowflake SnowSQL and Snowpipe is essential for this position. Additionally, you should have hands-on experience in working with semi-structured XML and JSON data within the Snowflake environment. Familiarity with Snowflake components like Stages, Streams, Tasks, and External Tables is a requirement for this role. While a working knowledge of Python scripting would be beneficial, experience in Database Design, Database Modeling, and Schema creation is crucial for success in this position.,

We are heavily dependent on BigQuery/Snowflake, Airflow, Stitch/Fivetran, dbt , Tableau/Looker for our business intelligence and embrace AWS with some GCP. As a Data Engineer,Developing end to end ETL/ELT Pipeline.

Role & responsibilities Implementing data management solutions. Certified Snowflake cloud data warehouse Architect Deep understanding of start and snowflake schema, dimensional modelling. Experience in the design and implementation of data pipelines and ETL processes using Snowflake. Optimize data models for performance and scalability. Collaborate with various technical and business stakeholders to define data requirements. Ensure data quality and governance best practices are followed. Experience with data security and data access controls in Snowflake. Expertise in complex SQL, python scripting, and performance tuning. 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. Experience in handling semi-structured data (JSON, XML), and columnar PARQUET using the VARIANT attribute in Snowflake. Experience in re-clustering the data in Snowflake with a good understanding of Micro-Partitions. Experience in Migration processes to Snowflake from an on-premises database environment. Experience in designing and building manual or auto-ingestion data pipelines using Snowpipe. SnowSQL experience in developing stored procedures and writing queries to analyze and transform data. Must have skills - Certified Snowflake Architect, Snowflake Architecture, Snow Pipes, SnowSQL, SQL, CI/CD and Python Perks and benefits Competitive compensation package. Opportunity to work with industry leaders. Collaborative and innovative work environment. Professional growth and development opportunities.

Educational Bachelor of Engineering,BCS,BBA,BCom,MCA,MSc Service Line Data & Analytics Unit Responsibilities " Has good knowledge on Snowflake Architecture. Understanding Virtual Warehouses - multi-cluster warehouse, autoscaling Metadata and system objects - query history, grants to users, grants to roles, users Micro-partitions Table Clustering, Auto Reclustering Materialized Views and benefits Data Protection with Time Travel in Snowflake - extremely imp Analyzing Queries Using Query Profile - extremely important (Explain plan) Cache architecture Virtual Warehouse(VW) Named Stages Direct Loading SnowPipe, Data Sharing,Streams, JavaScript Procedures & Tasks Strong ability to design and develop workflows in Snowflake in at least one cloud technology (preferably, AWS) Apply Snowflake programming and ETL experience to write Snowflake SQL and maintain complex, internally developed Reporting system. Preferable knowledge in ETL Activities like data processing from multiple source systems. Extensive Knowledge on Query Performance tuning. Apply knowledge of BI tools. Manage time effectively. Accurately estimate effortfortasks and meet agreed-upon deadlines. Effectively juggle ad-hocrequests and longer-term projects.Snowflake performance specialist- Familiar withzero copy cloningand usingtime travelfeatures to clone table- Familiar in understandingSnowflake query profileand what each step does andidentifying performance bottlenecks from query profile- Understanding of when a table needs to be clustered- Choosing the right cluster keyas a part of table design to help query optimization- Working with materialized views andbenefits vs cost scenario- How Snowflake micro partitions are maintained and what are the performance implications wrt micro partitions/ pruningetc- Horizontal vs vertical scaling. When to do what.Concept of multi cluster warehouse and autoscaling- Advanced SQL knowledge including window functions, recursive queriesand ability to understand and rewritecomplex SQLs as a part of performance optimization" Additional Responsibilities: Domain*Data Warehousing, Business IntelligencePrecise Work LocationBhubaneswar, Bangalore, Hyderabad, Pune Technical and Professional : Mandatory skills*SnowflakeDesired skills*Teradata/Python(Not Mandatory) Preferred Skills: Cloud Platform-Snowflake Technology-OpenSystem-Python - OpenSystem

About the Role: We are seeking a skilled and detail-oriented Data Migration Specialist with hands-on experience in Alteryx and Snowflake. The ideal candidate will be responsible for analyzing existing Alteryx workflows, documenting the logic and data transformation steps and converting them into optimized, scalable SQL queries and processes in Snowflake. The ideal candidate should have solid SQL expertise, a strong understanding of data warehousing concepts. This role plays a critical part in our cloud modernization and data platform transformation initiatives. Key Responsibilities: Analyze and interpret complex Alteryx workflows to identify data sources, transformations, joins, filters, aggregations, and output steps. Document the logical flow of each Alteryx workflow, including inputs, business logic, and outputs. Translate Alteryx logic into equivalent SQL scripts optimized for Snowflake, ensuring accuracy and performance. Write advanced SQL queries , stored procedures, and use Snowflake-specific features like Streams, Tasks, Cloning, Time Travel , and Zero-Copy Cloning . Implement data ingestion strategies using Snowpipe , stages, and external tables. Optimize Snowflake performance through query tuning , partitioning, clustering, and caching strategies. Collaborate with data analysts, engineers, and stakeholders to validate transformed logic against expected results. Handle data cleansing, enrichment, aggregation, and business logic implementation within Snowflake. Suggest improvements and automation opportunities during migration. Conduct unit testing and support UAT (User Acceptance Testing) for migrated workflows. Maintain version control, documentation, and audit trail for all converted workflows. Required Skills: Bachelors or masters degree in computer science, Information Technology, Data Science, or a related field. Must have aleast 4 years of hands-on experience in designing and developing scalable data solutions using the Snowflake Data Cloud platform Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions. 1+ years of experience with Alteryx Designer, including advanced workflow development and debugging. Strong proficiency in SQL, with 3+ years specifically working with Snowflake or other cloud data warehouses. Python programming experience focused on data engineering. Experience with data APIs , batch/stream processing. Solid understanding of data transformation logic like joins, unions, filters, formulas, aggregations, pivots, and transpositions. Experience in performance tuning and optimization of SQL queries in Snowflake. Familiarity with Snowflake features like CTEs, Window Functions, Tasks, Streams, Stages, and External Tables. Exposure to migration or modernization projects from ETL tools (like Alteryx/Informatica) to SQL-based cloud platforms. Strong documentation skills and attention to detail. Experience working in Agile/Scrum development environments. Good communication and collaboration skills.

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

We are search and staffing firm, catering to the hiring needs of top most IT Giants, Products and Captive. One such client which is a leading IT services company in healthcare domain is looking for: Job Summary: We are looking for an experienced Snowflake Architect to lead the design and implementation of scalable and high-performance data platforms on Snowflake. The ideal candidate should have a strong background in data architecture, data modeling, cloud platforms, and data warehousing with deep expertise in Snowflake. Key Responsibilities: Architect and design Snowflake-based data warehouse solutions for large-scale enterprise environments. Collaborate with business and data teams to understand data requirements and translate them into scalable architecture. Define best practices for data loading, transformation (ELT/ETL), and performance tuning in Snowflake. Lead the migration of existing data warehouses (e.g., Teradata, Oracle, Netezza) to Snowflake. Implement security and governance practices including role-based access control, masking, and data auditing. Optimize Snowflake storage and compute usage to ensure cost-effective solutions. Develop reusable frameworks and automation for data ingestion and transformation using tools like DBT, Airflow, or custom scripts. Guide and mentor development teams on Snowflake usage, query optimization, and design standards. Evaluate emerging data technologies and provide recommendations for adoption. Required Skills and Experience: 10+ years in data architecture, data engineering, or related roles. 3+ years of hands-on experience in Snowflake data platform. Expertise in SQL, performance tuning, and data modeling (3NF, dimensional, etc.). Experience with ELT tools (e.g., Informatica, Talend, DBT, Matillion, etc.). Strong understanding of cloud platforms (AWS, Azure, or GCP) and native integration with Snowflake. Familiarity with Python or scripting for automation and orchestration. Knowledge of CI/CD pipelines and version control using Git. Excellent communication and stakeholder management skills. Please Note: We are looking for candidates who can join on immediate basis, also please be assured your resume shall be highly confidential and will be only taken ahead after your consent.

Notice Period: Immediate About the role: We are hiring a Senior Snowflake Data Engineer with 10+ years of experience in cloud data warehousing and deep expertise on the Snowflake platform. The ideal candidate should have strong skills in SQL, ETL/ELT, data modeling, and performance tuning, along with a solid understanding of Snowflake architecture, security, and cost optimization. Roles & Responsibilities: Collaborate with data engineers, product owners, and QA teams to translate business needs into efficient Snowflake-based data models and pipelines. Design, build, and optimize data solutions leveraging Snowflake features such as virtual warehouses, data sharing, cloning, and time travel. Develop and maintain robust ETL/ELT pipelines using tools like Talend, Snowpipe, Streams, Tasks, and Python. Ensure optimal performance of SQL queries, warehouse sizing, and cost-efficient design strategies. Implement best practices for data quality, security, and governance, including RBAC, network policies, and masking. Contribute to code reviews and development standards to ensure high-quality deliverables. Support analytics and BI teams with data exploration and visualization using tools like Tableau or Power BI. Maintain version control using Git and follow Agile development practices. Required Skills: Snowflake Expertise: Deep knowledge of Snowflake architecture and core features. SQL Development: Advanced proficiency in writing and optimizing complex SQL queries. ETL/ELT: Hands-on experience with ETL/ELT design using Snowflake tools and scripting (Python). Data Modeling: Proficient in dimensional modeling, data vault, and best practices within Snowflake. Automation & Scripting: Python or similar scripting language for data workflows. Cloud Integration: Familiarity with Azure and its services integrated with Snowflake. BI & Visualization: Exposure to Tableau, Power BI or other similar platforms.

Work Location :Bangalore, chennai, Hyderabad, Pune, Bhubaneshwar, Kochi Experience :5-10yrs Job Description: Hands on experience in Snowflake Experience in Snowpipe, Snowsql Strong datawarehouse experience Please share your updated profile to suganya@spstaffing.in, if you are actively looking for change.

Role & responsibilities Snowflake JD Must have 8- 15 years of experience in Data warehouse, ETL, BI projects • Must have at least 5+ years of experience in Snowflake, 3+DBT • Expertise in Snowflake architecture is must. • Must have atleast 3+ years of experience and strong hold in Python/PySpark • Must have experience implementing complex stored Procedures and standard DWH and ETL concepts • Proficient in Oracle database, complex PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot • Good to have experience with AWS services and creating DevOps templates for various AWS services. • Experience in using Github, Jenkins • Good communication and Analytical skills • Snowflake certification is desirable

About Client Hiring for One of the top most MNC!! Job Description Job Title : Snowflake Developer /Snowflake Data Engineer Qualification : Any Graduate or Above Relevant Experience : 4 to 12 Years SKILL Snowflake Python/Pyspark SQL AWS services Role descriptions / Expectations from the Role Strong experience in building/designing the data warehouse, data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers. Strong experience with building productionized data ingestion and data pipelines in Snowflake Should have good exp on Snowflake RBAC and data security. Strong experience in Snowflake features including new snowflake features. Should have good experience in Python/Pyspark. Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF) Should have experience/knowledge in orchestration and scheduling tools experience like Airflow Should have good understanding on ETL processes and ETL tools. Location : Hyderabad CTC Range : 20 LPA TO 30 LPA Notice period : ANY Shift Timing : N/A Mode of Interview : VIRTUAL Mode of Work : WORK FROM OFFICE Vardhani IT Staffing Analyst Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA. 8686127477 I vardhani@blackwhite.in I www.blackwhite.in