Experience 10+ Years.Must have architect experience.Data Architect:1.AWS:PySpark with experience in architecting high throughput data lakesGlue ecosystem – Glue Jobs, Data Catalog, Bookmarks, Schema Registry, and Crawlers.Workflows – Airflow or Step Functions, or Glue WorkflowData Modeling – including medallion architecture, star schema (for architect)Understanding of Parquet and Iceberg file formats – including optimizing, partitioning and snapshotting (for architect)Good understanding of Data lineage, Data Governance, and DQ and AWS services around the same like Glue DQ, Deequ, GE, Lake FormationRedshift – Nice to have (since it is part of their existing infrastructure)Understanding of CDC and respective tools like Debezium, DMSAWS Certified Data Engineer PreferredOR2. Databricks:PySpark with experience in architecting/building high throughput data lakesWorkflowsAutoloadersUnderstanding of Parquet and Iceberg/Hudi file formats – including optimizing, partitioning and snapshotting (for architect).Should understand DLTsGood understanding of Data lineage, Data Governance, and DQ including Unity CatalogUnderstanding of CDC and respective tools like Debezium, DMSDatabricks certified engineer preferred

Roles and Responsibilities:Work on various software projects using Python as their primary programming language.Get involved in developing desktop applications, command-line tools, automation scripts, or backend services.Responsibilities include writing clean, efficient, and maintainable code, collaborating with other team members, and participating in the software development lifecycle.Build web applications using Python along with other technologies such as Django to build dynamic websites and web applications.Work on back-end aspects of web development, implementing features, optimizing performance, and ensuring the security of web applications.Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns.Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence as well as debugging and resolving any issues/defects.Participate in delivery process like Agile development and actively contributing to sprint planning, daily stand-ups, and retrospectives.Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders.Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders.Qualifications: Must have Skills/Project Experience:4 - 5 years of hands-on experience in writing scalable code in Python programming language with experience in Django.Experience in database technologies such as SQL and NoSQL with ORM implementations.Experience in event-driven programming in Python.Proficient understanding of code versioning tools such as Git, SVN, Bitbucket etc.Experience in any one of the cloud computing platforms like AWS, Azure or GCP.Experience in Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, spaCy, NLTK, sci-kit-learn and open source tools (minio, kafka, keyclock, ocr tools).Experience in Agile project development methodologies.Good interpersonal and communication skills.Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries.Knowledge and experience working with Microsoft Office tools Good to Have: Proficiency in Python and machine learning libraries, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), knowledge of software engineering principles, understanding of cloud computing platforms and deployment pipelines, familiarity with DevOps practices.

We are seeking a highly skilled Data Engineer with extensive experience in Snowflake, Data Build Tool (dbt), Snaplogic, SQL Server, PostgreSQL, Azure Data Factory, and other ETL tools. The ideal candidate will have a strong ability to optimize SQL queries and a good working knowledge of Python. A positive attitude and excellent teamwork skills are essential.Key Responsibilities:Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Snowflake, dbt, Snaplogic and ETL tools.SQL Optimization: Write and optimize complex SQL queries to ensure high performance and efficiency.Data Integration: Integrate data from various sources, ensuring consistency, accuracy, and reliability.Database Management: Manage and maintain SQL Server and PostgreSQL databases.ETL Processes: Develop and manage ETL processes to support data warehousing and analytics.Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.Documentation: Maintain comprehensive documentation of data models, data flows, and ETL processes.Troubleshooting: Identify and resolve data-related issues and discrepancies.Python Scripting: Utilize Python for data manipulation, automation, and integration tasks.Qualifications:Experience: Minimum of 9 years of experience in data engineering.Technical Skills:Proficiency in Snowflake, dbt, Snaplogic, SQL Server, PostgreSQL, and Azure Data Factory.Strong SQL skills with the ability to write and optimize complex queries.Knowledge of Python for data manipulation and automation.Knowledge of data governance frameworks and best practicesSoft Skills:Excellent problem-solving and analytical skills.Strong communication and collaboration skills.Positive attitude and ability to work well in a team environment.Certifications: Relevant certifications (e.g., Snowflake, Azure) are a plus.

Job Role:As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products.The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical concepts to technical and non-technical audiences.Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data ScientistsKey Requirements:Experience: At least 8 years of relevant experienceEducation: Bachelors or Masters degree in Computer Science or Mathematics, Statistics or a related field. PhD with lesser experience are welcome.Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audiencePersonal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way

Key Responsibilities:Design, develop, and maintain full-stack web applications using .NET technologies (C#, ASP.NET Core) and Angular.Collaborate with UX/UI designers to implement and enhance user interfaces with Angular.Build reusable, scalable, and high-performance components and libraries for front-end use.Work with back-end developers to integrate RESTful APIs and services into front-end applications.Develop server-side logic and ensure the implementation of business logic with .NET Core.Participate in all phases of the software development life cycle, from planning through deployment.Write unit and integration tests to ensure the quality and stability of the applications.Optimize applications for maximum speed and scalability.Troubleshoot and debug applications to ensure smooth functionality.Ensure code quality by following best practices, conducting code reviews, and maintaining documentation.Stay current with emerging technologies and industry trends, and incorporate them into development practices.Work collaboratively in an Agile environment, including participation in sprint planning and retrospectives.Key Requirements:Strong experience with .NET development (C#, ASP.NET Core, .NET Framework).Proficiency in front-end development using Angular (Angular 2+).Solid understanding of HTML5, CSS3, JavaScript, and related front-end technologies.Experience with RESTful API development and integration.Knowledge of databases (SQL Server, MySQL, or similar), including writing SQL queries and designing database schemas.Familiarity with version control tools, particularly Git.Experience with dependency injection, middleware, and working with APIs in .NET Core.Familiarity with agile methodologies and development practices.Strong problem-solving and debugging skills.Ability to communicate effectively and work collaboratively in a team environment.