1569 Snowflake Jobs - Page 9

Job Summary: We are seeking a highly motivated and experienced Senior Data Engineer to join our team. This role requires a deep curiosity about our business and a passion for technology and innovation. You will be responsible for designing and developing robust, scalable data engineering solutions that drive our business intelligence and data-driven decision-making processes. If you thrive in a dynamic environment and have a strong desire to deliver top-notch data solutions, we want to hear from you. Key Responsibilities: Collaborate with agile teams to design and develop cutting-edge data engineering solutions. Build and maintain distributed, low-latency, and reliable data pipelines ensuring high availability and timely delivery of data. Design and implement optimized data engineering solutions for Big Data workloads to handle increasing data volumes and complexities. Develop high-performance real-time data ingestion solutions for streaming workloads. Adhere to best practices and established design patterns across all data engineering initiatives. Ensure code quality through elegant design, efficient coding, and performance optimization. Focus on data quality and consistency by implementing monitoring processes and systems. Produce detailed design and test documentation, including Data Flow Diagrams, Technical Design Specs, and Source to Target Mapping documents. Perform data analysis to troubleshoot and resolve data-related issues. Automate data engineering pipelines and data validation processes to eliminate manual interventions. Implement data security and privacy measures, including access controls, key management, and encryption techniques. Stay updated on technology trends, experimenting with new tools, and educating team members. Collaborate with analytics and business teams to improve data models and enhance data accessibility. Communicate effectively with both technical and non-technical stakeholders. Qualifications: Education: Bachelors degree in Computer Science, Computer Engineering, or a related field. Experience: Minimum of 5+ years in architecting, designing, and building data engineering solutions and data platforms. Proven experience in building Lakehouse or Data Warehouses on platforms like Databricks or Snowflake. Expertise in designing and building highly optimized batch/streaming data pipelines using Databricks. Proficiency with data acquisition and transformation tools such as Fivetran and DBT. Strong experience in building efficient data engineering pipelines using Python and PySpark. Experience with distributed data processing frameworks such as Apache Hadoop, Apache Spark, or Flink. Familiarity with real-time data stream processing using tools like Apache Kafka, Kinesis, or Spark Structured Streaming. Experience with various AWS services, including S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, and Glue Catalog. Expertise in advanced SQL programming and performance tuning. Key Skills: Strong problem-solving abilities and perseverance in the face of ambiguity. Excellent emotional intelligence and interpersonal skills. Ability to build and maintain productive relationships with internal and external stakeholders. A self-starter mentality with a focus on growth and quick learning. Passion for operational products and creating outstanding employee experiences.

6-10 years of strong understanding of data pipeline/data warehouse management. - SQL Server/SSIS packages based. - Microsoft ADF & PowerBI based. - Snowflake on AWS Required Candidate profile - Strong SQL knowledge - Good experience in ITIL process (Incident, Change & problem management)

Location: Bangalore, Hyderabad, Chennai, Pune, Gurgaon Exp:8+ yrs Notice Period:0-20 days Skills: Snowflake, data warehouse, sql , data migration & integration ETL Roles and Responsibilities : Gathering business requirements from the markets, perform data profiling and prepare ETL design documents. Establishing connections to the market's data warehouse from Informatica Cloud Data Integration. Building ETL mappings and tasks to extract the historical and incremental data from markets into Data Lake and subsequently to Snowflake tables. Involving in End-to-End development for the source data to undergo multiple levels of transformations before loading into Data Warehouse. Building External tables in Snowflake to process huge amounts of data from one location to other in data lake AWS S3 and finally to Snowflake. Building ETL mappings which provides the aggregated sales data at various frequencies by different dimensional attributes from the Fact tables. Packaging and deploying the code into Production and performing all the deployment related activities. Unit Testing and Documentation

Work Experience 3-5 Job Title Snowflake Developer 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! Technical and Professional Requirements: Primary skills:Technology->Data on Cloud-DataStore->Snowflake Preferred Skills: Technology->Data on Cloud-DataStore->Snowflake 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 Educational Requirements MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech Service Line Data & Analytics Unit * Location of posting is subject to business requirements

Greetings from tsworks Technologies India Pvt We are hiring for Sr. Data Engineer / Lead Data Engineer, if you are interested please share your CV to mohan.kumar@tsworks.io About This Role tsworks Technologies India Private Limited is seeking driven and motivated Senior Data Engineers to join its Digital Services Team. You will get hands-on experience with projects employing industry-leading technologies. This would initially be focused on the operational readiness and maintenance of existing applications and would transition into a build and maintenance role in the long run. Position: Senior Data Engineer / Lead Data Engineer Experience : 5 to 11 Years Location : Bangalore, India / Remote Mandatory Required Qualification Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, etc. Expertise in DevOps and CI/CD implementation Excellent Communication Skills Skills & Knowledge Bachelor's or masters degree in computer science, Engineering, or a related field. 5 to 10 Years of experience in Information Technology, designing, developing and executing solutions. 3+ Years of hands-on experience in designing and executing data solutions on Azure cloud platforms as a Data Engineer. Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, etc. Familiarity with Snowflake data platform is a good to have experience. Hands-on experience in data modelling, batch and real-time pipelines, using Python, Java or JavaScript and experience working with Restful APIs are required. Expertise in DevOps and CI/CD implementation. Hands-on experience with SQL and NoSQL databases. Hands-on experience in data modelling, implementation, and management of OLTP and OLAP systems. Experience with data modelling concepts and practices. Familiarity with data quality, governance, and security best practices. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Familiarity with machine learning concepts and integration of ML pipelines into data workflows Hands-on experience working in an Agile setting. Is self-driven, naturally curious, and able to adapt to a fast-paced work environment. Can articulate, create, and maintain technical and non-technical documentation. Public cloud certifications are desired.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a variety of tasks that involve analyzing, designing, coding, and testing multiple components of application code across various clients. Your typical day will include collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development work required for project success. You will be involved in problem-solving and decision-making processes that impact the team and the broader organization, ensuring that the applications meet the required standards and functionality. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.- Mentor junior professionals to help them develop their skills and grow within the organization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data warehousing concepts and architecture.- Experience with SQL and data modeling techniques.- Familiarity with ETL processes and tools.- Ability to troubleshoot and optimize performance issues in data systems. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a variety of tasks that involve analyzing, designing, coding, and testing multiple components of application code across various clients. Your typical day will include collaborating with team members to perform maintenance and enhancements, as well as developing new features to improve application functionality. You will also be responsible for troubleshooting issues and ensuring that the application meets the required standards of quality and performance. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality software solutions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and database management.- Familiarity with cloud computing concepts and services.- Ability to work with data integration tools and frameworks. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet the needs of the clients effectively. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data warehousing concepts and architecture.- Experience with SQL and data modeling techniques.- Familiarity with ETL processes and tools.- Ability to troubleshoot and optimize performance issues. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and guidance to your team members while continuously seeking opportunities for improvement in application functionality and user experience. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and database management.- Familiarity with cloud computing concepts and services.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a variety of tasks that involve analyzing, designing, coding, and testing multiple components of application code across various clients. Your typical day will include collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development work required to meet client needs. You will be involved in problem-solving and decision-making processes that impact the efficiency and effectiveness of the applications being developed. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data warehousing concepts and architecture.- Experience with SQL and data modeling techniques.- Familiarity with ETL processes and tools.- Ability to troubleshoot and optimize performance issues. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving discussions, contribute to the overall project strategy, and continuously refine your skills to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and database management.- Familiarity with cloud computing concepts and services.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the solutions align with business objectives. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and database management.- Familiarity with cloud computing concepts and services.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : Snowflake SchemaMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Financial Planning & Analysis Representative, you will drive performance, strategic analysis, and identify and correct financial or operational concerns. You will provide financial analysis to aid in decisions pertaining to the profitability and financial health of the organization. Roles & Responsibilities:-Implement snowflake cloud data warehouse and cloud related architecture. -Migrating from various sources to Snowflake.-Work on Snowflake capabilities such as Snow pipe, Stages, Snow SQL, Streams, and tasks.-Implement snowflake advanced concepts like setting up resource monitor, RBAC controls, Virtual -Warehouse sizing, zero copy clone.-In-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse-Deploy the snowflake features such as data sharing, event, and lake house patterns.-Implement Incremental extraction loads - batched and streaming. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with Reporting Analytics.- Strong understanding of financial analysis.- Knowledge of financial modeling techniques.- Proficient in data interpretation and presentation. Additional Information:- The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet the needs of the clients effectively. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data warehousing concepts and architecture.- Experience with SQL and data modeling techniques.- Familiarity with ETL processes and tools.- Ability to troubleshoot and optimize performance issues. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with data modeling and database design.- Strong understanding of ETL processes and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Experience in performance tuning and optimization of data queries. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a variety of tasks that involve analyzing, designing, coding, and testing multiple components of application code across various clients. Your typical day will include collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development work required for project success. You will also be involved in troubleshooting issues and optimizing application performance, ensuring that the software meets the highest standards of quality and functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data warehousing concepts and architecture.- Experience with SQL and data modeling techniques.- Familiarity with ETL processes and tools.- Ability to work with cloud-based data solutions. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code for multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet client requirements and expectations. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.- Mentor junior team members to help them develop their skills and grow within the organization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data warehousing concepts and architecture.- Experience with SQL and data modeling techniques.- Familiarity with ETL processes and tools.- Ability to troubleshoot and optimize performance issues in data pipelines. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse, Manual Testing Good to have skills : Data EngineeringMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to navigate complex data environments, providing insights and recommendations that drive effective data management and governance practices. Key Responsibilities:a Overall 12+ of data experience including 5+ years on Snowflake and 3+ years on DBT (Core and Cloud)b Played a key role in DBT related discussions with teams and clients to understand business problems and solutioning requirementsc As a DBT SME liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities Technical Experience:a Strong Experience working as a Snowflake on Cloud DBT Data Architect with thorough knowledge of different servicesb Ability to architect solutions from OnPrem to cloud and create end to end data pipelines using DBT c Excellent process knowledge in one or more of the following areas:Finance, Healthcare, Customer Experienced Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake featurese DBT (Core and Cloud) end to end migration experience that includes DBT migration - Refactoring SQL for modularity, DBT modeling experience (.sql or .py files credbt job scheduling on atleast 2 projectsf Knowledge of Jinja template language (Macros) would be added advantageg Knowledge of Special features like DBT documentation, semantice layers creation, webhooks etc.h DBT and cloud certification is important.i Develop, fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI.j Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support.k Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots.l Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions.m Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives.n Stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities.o Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Professional Attributes:a client management, stakeholder management, collaboration, interpersonal and relationship building skillsb Ability to create innovative solutions for key business challengesc Eagerness to learn and develop self on an ongoing basisd Structured communication written, verbal and presentational. Educational Qualification:a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Qualification 15 years full time education

About the Role We are looking for a skilled and motivated Python Developer to join our growing technology team. In this role, you will be instrumental in designing, developing, and maintaining robust applications that handle large and complex datasets. You will be at the heart of our data operations, ensuring that data is processed efficiently, accurately, and is readily available for analysis and business intelligence. This is an excellent opportunity for a developer who is passionate about data and wants to apply their Python expertise to solve challenging problems. While we are a [mention your industry, e.g., fast-paced technology firm], experience within financial services is a significant advantage as you will be dealing with data that requires the highest standards of accuracy and integrity. Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable Python code for data processing and application development. Perform complex data manipulation, transformation, cleaning, and analysis using Python's core data science libraries. Develop and optimize data pipelines to ingest and process data from various sources into our databases and data warehouse. Write efficient and complex queries for both SQL and NoSQL databases to support application functionalities and data extraction needs. Collaborate with data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver technical solutions. Ensure data quality and integrity through validation, testing, and documentation. Contribute to the entire development lifecycle, from conception and design to testing and deployment. Required Skills & Qualifications: Python Proficiency: Strong proficiency in Python and a deep understanding of its data manipulation libraries, especially Pandas and NumPy . Database Knowledge: Demonstrable experience with databases is desirable. This includes proficiency in writing queries for relational databases (e.g., PostgreSQL, MySQL). Analytical Mindset: Excellent problem-solving and analytical skills, with the ability to work with large, intricate datasets. Preferred & Advantageous Skills: Financial Services Context: Prior experience working in a financial services company (e.g., fintech, banking, asset management, capital markets) is a significant plus. Cloud Database Exposure: Hands-on experience with cloud-based data platforms, particularly Snowflake , is highly advantageous. Cloud Platforms: Familiarity with cloud environments like AWS, Azure, or GCP. Data Warehousing: Understanding of ETL/ELT processes and data warehousing concepts. Software Development Practices: Experience with version control systems (like Git) and agile development methodologies.

Architecture design, total solution design from requirements analysis, design and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions. Responsibilities: Defining, designing and delivering ML architecture patterns operable in native and hybrid cloud architectures. Research, analyze, recommend and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Implementing the solution using the AI orchestration Requirements: Hands-on programming and architecture capabilities in Python, Java, Minimum 6+ years of Experience in Enterprise applications development (Java, . Net) Experience in implementing and deploying Experience in building Data Pipeline, Data cleaning, Feature Engineering, Feature Store Experience in Data Platforms like Databricks, Snowflake, AWS/Azure/GCP Cloud and Data services Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc. ) Strong hands-on experience with statistical packages and ML libraries (e. g. R, Python scikit learn, Spark MLlib, etc. ) Experience in effective data exploration and visualization (e. g. Excel, Power BI, Tableau, Qlik, etc. ) Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc. ) Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra, Hbase, Hive, HDFS Work experience as Solution Architect/Software Architect/Technical Lead roles Experience with open-source software. Excellent problem-solving skills and ability to break down complexity. Ability to see multiple solutions to problems and choose the right one for the situation. Excellent written and oral communication skills. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and related technologies. Developing AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications. In-depth experience in AI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solution and their interdependencies. Specializes in at least one of the AI/ML stack (Frameworks and tools like MxNET and Tensorflow, ML platform such as Amazon SageMaker for data scientists, API-driven AI Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call). Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning. Back end: LLM APIs and hosting, both proprietary and open-source solutions, cloud providers, ML infrastructure Orchestration: Workflow management such as LangChain, Llamalndex, HuggingFace, OLLAMA Data Management : LLM cache Monitoring: LLM Ops tool Tools & Techniques: prompt engineering, embedding models, vector DB, validation frameworks, annotation tools, transfer learnings and others Pipelines: Gen AI pipelines and implementation on cloud platforms (preference: Azure data bricks, Docker Container, Nginx, Jenkins)

Were Hiring: Senior Data Engineer – Azure & Snowflake Expert Location: Hyderabad / Ahmedabad Experience: 8–12 Years Immediate Joiners Preferred Are you passionate about designing scalable data pipelines and building high-performing data platforms in the cloud? We are looking for a Senior Data Engineer with strong hands-on expertise in Snowflake and Azure Data Factory to join our growing team. Key Responsibilities: Design and optimize scalable data pipelines for large datasets. Develop and orchestrate ETL/ELT workflows using Azure Data Factory (ADF) . Manage data storage with Azure Blob Storage and ADLS Gen2 . Implement event-driven automations using Azure Logic Apps . Write robust SQL queries, stored procedures, and build data models. Ensure data quality, security, and governance practices are enforced. Troubleshoot and optimize existing pipelines and infrastructure. Must-Have Skills : Expert-level Snowflake knowledge – design, development, and optimization. Proficiency in the Azure data ecosystem : ADF, Blob Storage, ADLS Gen2, Logic Apps. Strong SQL expertise for complex data manipulation. Familiarity with Git and version control. Excellent problem-solving and communication skills. Nice to Have : Experience with dbt (data build tool) . Knowledge of Python and DevOps/CI-CD practices for data engineering.

About the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys and Naturium, high-performance, biocompatible, clinically-effective and accessible skincare. In our Fiscal year 24, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 24 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last four fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us Position Summary We are seeking a skilled Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, developing, and maintaining our data pipelines, integrations, and data warehouse infrastructure. The successful candidate will work closely with data scientists, analysts, and business stakeholders to ensure that our data is accurate, secure, and accessible for all users. Responsibilities Design and build scalable data pipeline architecture that can handle large volumes of data Develop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouse Optimize and maintain the data infrastructure to ensure high availability and performance Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models Develop and maintain data models to support business needs Ensure data security and compliance with data governance policies Identify and troubleshoot data quality issues Automate and streamline processes related to data management Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture. Analyze the data products and requirements to align with data strategy Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams Enhance the efficiency, automation, and accuracy of existing reports Follow best practices in data querying and manipulation to ensure data integrity Requirements Bachelor's or master’s degree in computer science, Data Science, or a related field Must have 8+ years of experience as a Snowflake Data Engineer or related role Must have experience with Snowflake Strong Snowflake experience building, maintaining and documenting data pipelines Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features Strong SQL development experience including SQL queries and stored procedures Strong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic. Well versed in data standardization, cleansing, enrichment, and modeling Proficiency in one or more programming languages such as Python, Java, or C# Experience with cloud computing platforms such as AWS, Azure, or GCP Knowledge of ELT/ETL processes, data warehousing, and data modeling Familiarity with data security and governance best practices Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes Strong communication and collaboration skills Minimum work experience 8 Maximum work experience 13 This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion. e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared.

We are seeking an experienced Master Data Management (MDM) Technical Lead to provide strategic leadership and technical expertise for our enterprise MDM initiatives. WHAT YOU WILL EXPERIENCE IN THIS POSITION: In this senior role, you will define and drive the MDM strategy, architecture, and governance framework, ensuring alignment with business objectives and enterprise data management practices You will collaborate with executive stakeholders, business units, and IT teams to establish a unified approach to master data across the organization, while providing thought leadership on MDM best practices, emerging technologies, and industry trends Key Responsibilities Leadership Define and evolve the enterprise MDM vision, strategy, and roadmap aligned with business goals and digital transformation initiatives Serve as the principal advisor to business and IT leadership on MDM capabilities, opportunities, and implementation approaches Establish governance structures, policies, and processes for sustainable master data management Drive cultural change and promote data stewardship across the organization using Informatica CDGC Lead MDM implementation programs from conceptualization to executionDefine program governance frameworks, milestone plans, and success metricsCoordinate cross-functional teams including business stakeholders, data stewards, data owners, Digital, and vendors Provide technical direction to development teams implementing and maintaining MDM solutions Resolve complex architectural challenges related to data integration, quality, and synchronization Architecture, Design, and DevelopDesign, configure, and manage Informatica MDM solutions to consolidate and unify master data Implement Matching, Survivorship, and Deduplication rules to ensure Golden Records Create reference architectures for master data hubs, data quality processes, and integration layers Design, implement, and manage Informatica CDGC solutions for data governance and metadata management YOU HAVE: A Bachelors degree in Computer Science, Engineering or a related field Master's degree preferred Previous experience in or with 10+ years experience in data management with at least 5 years focused on MDM strategy and architecture Required Skills: Proven experience leading enterprise-wide MDM programs and implementing MDM solutions across multiple domains Deep knowledge of MDM architectural patterns, implementation approaches, and best practices Experience with Informatica MDM Platform Working knowledge of Informatica Data Quality (IDQ) and Address Doctor Experience in cloud data platforms like Snowflake, AWS Data integration and transformation using tools such as dbt, Matillion, HVR Expertise in data governance and metadata management using Informatica CDGC Extensive experience in data modeling, metadata management, and data quality practices Proven ability to communicate complex technical concepts to business stakeholders and executives Experience developing MDM business cases, roadmaps, and value realization frameworks Strong problem-solving and analytical skills Experience with agile development methodologies

About the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys and Naturium, high-performance, biocompatible, clinically-effective and accessible skincare. In our Fiscal year 24, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 24 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last four fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us Position Summary We are seeking a skilled Sr. Data Engineer to join our dynamic team. The Sr. Data Engineer will be responsible for designing, developing, and maintaining our data pipelines, integrations, and data warehouse infrastructure. The successful candidate will work closely with data scientists, analysts, and business stakeholders to ensure that our data is accurate, secure, and accessible for all users. Responsibilities Design and build scalable data pipeline architecture that can handle large volumes of data Develop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouse Optimize and maintain the data infrastructure to ensure high availability and performance Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models Develop and maintain data models to support business needs Ensure data security and compliance with data governance policies Identify and troubleshoot data quality issues Automate and streamline processes related to data management Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture. Analyze the data products and requirements to align with data strategy Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams Enhance the efficiency, automation, and accuracy of existing reports Follow best practices in data querying and manipulation to ensure data integrity Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field Must have 15+ years of experience as a Data Engineer or related role Must have experience with Snowflake. Strong Snowflake experience building, maintaining and documenting data pipelines Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features Strong SQL development experience including SQL queries and stored procedures Strong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic. Well versed in data standardization, cleansing, enrichment, and modeling Proficiency in one or more programming languages such as Python, Java, or C# Experience with cloud computing platforms such as AWS, Azure, or GCP Knowledge of ELT/ETL processes, data warehousing, and data modeling Familiarity with data security and governance best practices Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes Strong communication and collaboration skills Minimum work experience 15 Maximum work experience 20 This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion. e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared.

Important Points: Build ETL (extract, transform, and loading) jobs using Fivetran and dbt for our internal projects and for customers that use various platforms like Azure, Salesforce, and AWS technologies Monitoring active ETL jobs in production. Build out data lineage artifacts to ensure all current and future systems are properly documented Assist with the build out design/mapping documentation to ensure development is clear and testable for QA and UAT purposes Assess current and future data transformation needs to recommend, develop, and train new data integration tool technologies Discover efficiencies with shared data processes and batch schedules to help ensure no redundancy and smooth operations Assist the Data Quality Analyst to implement checks and balances across all jobs to ensure data quality throughout the entire environment for current and future batch jobs. Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence and MDM solutions, including Data Lakes/Data Vaults. SUPERVISORY RESPONSIBILITIES: This job has no supervisory responsibilities. QUALIFICATIONS: Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work 3-5 years experience with a strong proficiency with SQL query/development skills Develop ETL routines that manipulate and transfer large volumes of data and perform quality checks Hands-on experience with ETL tools (e.g Informatica, Talend, dbt, Azure Data Factory) • Experience working in the healthcare industry with PHI/PII Creative, lateral, and critical thinker Excellent communicator Well-developed interpersonal skills Good at prioritizing tasks and time management Ability to describe, create and implement new solutions Experience with related or complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef) Knowledge / Hands-on experience with BI tools and reporting software (e.g. Cognos, Power BI, Tableau) Big Data stack (e.g.Snowflake(Snowpark), SPARK, MapReduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)