114 Snowflake Db Jobs

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

8+ years of experience in ETL/DW projects, having migration experience and team management having delivery experience. Proven expertise in Snowflake data warehousing, ETL, and data governance. Experience with cloud ETL/ETL migration tools.

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication 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

Role : Snowflake Practice Lead / Architect / Solution Architect Exp : 13+ Years Work Location : Hyderabad Position Overview : We are seeking a highly skilled and experienced - Snowflake Practice Lead- to drive our data strategy, architecture, and implementation using Snowflake. This leadership role requires a deep understanding of Snowflake's cloud data platform, data engineering best practices, and enterprise data management. The ideal candidate will be responsible for defining best practices, leading a team of Snowflake professionals, and driving successful Snowflake implementations for clients. Key Responsibilities : Leadership & Strategy : - Define and drive the Snowflake practice strategy, roadmap, and best practices. - Act as the primary subject matter expert (SME) for Snowflake architecture, implementation, and optimization. - Collaborate with stakeholders to understand business needs and align data strategies accordingly. Technical Expertise & Solutioning : - Design and implement scalable, high-performance data architectures using - Snowflake- . - Develop best practices for data ingestion, transformation, modeling, and security- within Snowflake. - Guide clients on Snowflake migrations, ensuring a seamless transition from legacy systems. - Optimize - query performance, storage utilization, and cost efficiency- in Snowflake environments. Team Leadership & Mentorship : - Lead and mentor a team of Snowflake developers, data engineers, and architects. - Provide technical guidance, conduct code reviews, and establish best practices for Snowflake development. - Train internal teams and clients on Snowflake capabilities, features, and emerging trends. Client & Project Management : - Engage with clients to understand business needs and design tailored Snowflake solutions. - Lead - end-to-end Snowflake implementation projects , ensuring quality and timely delivery. - Work closely with - data scientists, analysts, and business stakeholders- to maximize data utilization. Required Skills & Experience : - 10+ years of experience- in data engineering, data architecture, or cloud data platforms. - 5+ years of hands-on experience with Snowflake in large-scale enterprise environments. - Strong expertise in SQL, performance tuning, and cloud-based data solutions. - Experience with ETL/ELT processes, data pipelines, and data integration tools- (e.g., Talend, Matillion, dbt, Informatica). - Proficiency in cloud platforms such as AWS, Azure, or GCP, particularly their integration with Snowflake. - Knowledge of data security, governance, and compliance best practices . - Strong leadership, communication, and client-facing skills. - Experience in migrating from traditional data warehouses (Oracle, Teradata, SQL Server) to Snowflake. - Familiarity with Python, Spark, or other big data technologies is a plus. Preferred Qualifications : - Snowflake SnowPro Certification- (e.g., SnowPro Core, Advanced Architect, Data Engineer). - Experience in building data lakes, data marts, and real-time analytics solutions- . - Hands-on experience with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC)- in Snowflake environments. Why Join Us? - Opportunity to lead cutting-edge Snowflake implementations- in a dynamic, fast-growing environment. - Work with top-tier clients across industries, solving complex data challenges. - Continuous learning and growth opportunities in cloud data technologies. - Competitive compensation, benefits, and a collaborative work culture.

Primarily looking for a candidate with strong expertise in data-related skills, including : - 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. 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 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)

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : - 10+ years of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

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.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Employment Type : Contract (Remote). Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Hiring for a FAANG company. Note: This position is open only for women professionals returning to the workforce after a career break (9+ months career gap, e.g, last working day prior to NOV 2024). We encourage you to apply only if you fit this criteria. Position Overview This is a Level 5 Data Engineer role within a leading e-commerce organization's Selling Partner Services division in India. The position focuses on building and scaling API authorization and customization systems that serve thousands of global selling partners. This is a senior-level position requiring significant technical expertise and leadership capabilities. Team Context & Mission Organization : Selling Partner Services division Focus : API authorization and customization systems for global selling partners Mission : Create flexible, reliable, and extensible API solutions to help businesses thrive on the platform Culture : Startup excitement with enterprise-level resources and scale Impact : Direct influence on thousands of global selling partners Key Responsibilities Technical Leadership Lead design and implementation of complex data pipelines and ETL processes Architect scalable, high-performance data systems using cloud technologies and big data platforms Evaluate and recommend new technologies and tools for data infrastructure enhancement Troubleshoot and resolve complex data-related issues in production environments Collaboration & Stakeholder Management Work closely with data scientists, analysts, and business stakeholders Understand data requirements and implement appropriate solutions Contribute to data governance policies and procedures development Performance & Quality Optimization Optimize data storage and retrieval systems for performance and cost-effectiveness Implement data quality checks and monitoring systems Ensure data integrity and reliability across all systems Mentorship & Leadership Mentor junior engineers on the team Provide technical leadership on data engineering best practices and methodologies Drive adoption of industry standards and innovative approaches Required Qualifications (Must-Have) Experience Requirements 5+ years of data engineering experience - Senior-level expertise expected 5+ years of SQL experience - Advanced SQL skills for complex data manipulation Data modeling, warehousing, and ETL pipeline building - Core competencies Distributed systems knowledge - Understanding of data storage and computing in distributed environments Technical Skills Advanced proficiency in designing and implementing data solutions Strong understanding of data architecture principles Experience with production-level data systems Knowledge of data governance and quality assurance practices Preferred Qualifications Cloud Technology Stack Data Warehousing : Redshift, Snowflake, BigQuery Object Storage : S3, Azure Blob, Google Cloud Storage ETL Services : AWS Glue, Azure Data Factory, Google Dataflow Big Data Processing : EMR, Databricks, Apache Spark Real-time Streaming : Kinesis, Kafka, Apache Storm Data Delivery : FireHose, Apache NiFi Serverless Computing : Lambda, Azure Functions, Google Cloud Functions Identity Management : IAM, Active Directory, role-based access control Non-Relational Database Experience Object Storage : S3, blob storage systems Document Stores : MongoDB, CouchDB Key-Value Stores : Redis, DynamoDB Graph Databases : Neo4j, ArangoDB Column-Family : Cassandra, HBase Key Success Factors Scalability Focus : Building systems that can handle massive enterprise scale Performance Optimization : Continuous improvement of system efficiency Quality Assurance : Maintaining high data quality and reliability standards Innovation : Staying current with emerging technologies and best practices Collaboration : Effective partnership with stakeholders across the organization This role represents a significant opportunity for a senior data engineer to make a substantial impact on a global e-commerce seller ecosystem while working with cutting-edge technologies and leading a team of talented professionals.

The Impact you will have in this role: The Development family is responsible for crafting, designing, deploying, and supporting applications, programs, and software solutions. May include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm. The software development process requires in-depth domain expertise in existing and emerging development methodologies, tools, and programming languages. Software Developers work closely with business partners and / or external clients in defining requirements and implementing solutions. The Software Engineering role specializes in planning, documenting technical requirements, crafting, developing, and testing all software systems and applications for the firm. Works closely with architects, product managers, project management, and end-users in the development and improvement of existing software systems and applications, proposing and recommending solutions that solve complex business problems. Your Primary Responsibilities: Act as a technical expert on one or more applications used by DTCC Work with the Business System Analyst to ensure designs satisfy functional requirements Partner with Infrastructure to identify and deploy optimal hosting environments Tune application performance to eliminate and reduce issues Research and evaluate technical solutions consistent with DTCC technology standards Align risk and control processes into day to day responsibilities to monitor and mitigate risk; escalates appropriately Apply different software development methodologies dependent on project needs Contribute expertise to the design of components or individual programs, and participate in the construction and functional testing Support development teams, testing, solving, and production support Create applications and construct unit test cases that ensure compliance with functional and non-functional requirements Work with peers to mature ways of working, continuous integration, and continuous delivery Aligns risk and control processes into day to day responsibilities to monitor and mitigate risk; escalates appropriately Qualifications: Minimum of 8 years of related experience Bachelor's degree preferred or equivalent experience Talents Needed for Success: Expertise in Snowflake DB and its various architecture principles, capabilities Experience with data warehousing, data architecture, ETL data pipeline and/or data engineering environments at enterprise scale that are built on Snowflake Ability to create Strong SQL Procedures in Snowflake, Build a Data Pipeline efficiently in a cost-optimizing & performance efficient way Proficient understanding of code versioning tools - Git, Mercurial, SVN Knowledge of SDLC, Testing & CI/CD aspects such as Jenkins, BB , JIRA Fosters a culture where integrity and transparency are encouraged. Stays ahead of on changes in their own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date. Invests in effort to individually coach others. Build collaborative teams across the organization. Communicates openly keeping everyone across the organization advised.

Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

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.

Location : Remote (India). Employment Type : Contract (Remote). Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Employment Type : Contract (Remote). Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Employment Type : Contract (Remote). Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Primary Roles And Responsibilities : - Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack - Ability to provide solutions that are forward-thinking in data engineering and analytics space - 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 via Airflow Skills And Qualifications : - 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. - Deep understanding of Star and Snowflake dimensional modelling. - Strong knowledge of Data Management principles - Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture - Should have hands-on experience in SQL, Python and Spark (PySpark) - Candidate must have experience in AWS/ Azure stack - Desirable to have ETL with batch and streaming (Kinesis). - Experience in building ETL / data warehouse transformation processes - Experience with Apache Kafka for use with streaming data / event-based data - Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) - Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) - Experience working with structured and unstructured data including imaging & geospatial data. - Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. - Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot - Databricks Certified Data Engineer Associate/Professional Certification (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. Location : Bangalore, Chennai, Delhi, Pune

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.

Key Skills: Data Engineer, Cloud, Snowflake DB, Data modeling, SQL, DevOps Roles and Responsibilities: Data Solution Design & Modeling Develop Conceptual, Logical, and Physical Data Models based on business requirements and data architecture principles. Create data mappings, transformation rules, and maintain comprehensive metadata artifacts such as data dictionaries and business glossaries. Collaborate with business SMEs and data stewards to align models with business processes and terminologies. Define and enforce data modeling standards, naming conventions, and design patterns. Support the end-to-end software development lifecycle (SDLC), including testing, deployment, and post-production issue resolution. Technical Troubleshooting & Optimization Perform data profiling, root cause analysis, and long-term resolutions for recurring data issues. Conduct impact assessments for upstream and downstream changes in data pipelines or models. Integrate data from various sources (APIs, flat files, databases) into Snowflake, ensuring performance and scalability. DevOps & Operations Work closely with Data Engineers and Business Analysts to ensure version control, CI/CD pipelines, and automated deployments using Git, Bitbucket, and related DevOps tools. Ensure all data solutions are compliant with governance, security, and regulatory requirements. Skills Required: Minimum 8+ years of experience in data engineering and data modeling roles. Proven track record with cloud-based data platforms, particularly Snowflake. Hands-on expertise with SQL, data integration, and warehouse performance optimization. Experience in Life Insurance, Banking, or other regulated industries is a strong advantage. Skills & Competencies: Strong knowledge of data modeling concepts and frameworks (e.g., Kimball, Inmon). Deep expertise in Snowflake performance tuning, security, and architecture. Strong command over SQL for data analysis, transformation, and pipeline development. Familiarity with DevOps, CI/CD, and source control systems (Git, Bitbucket). Solid understanding of data governance, metadata, data lineage, and data quality frameworks. Ability to conduct stakeholder workshops, capture business requirements, and translate them into technical design. Excellent problem-solving, documentation, and communication skills. Preferred Knowledge: Experience in regulated industries such as insurance or banking. Understanding of data risk, regulatory expectations, and compliance frameworks in financial services. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. SnowPro Core Certification is highly preferred.