3 Etl Principles Jobs

You will be responsible for developing, scheduling, and managing ETL processes using SSIS and Azure Data Factory (ADF). Your role will also involve building and optimizing data models and OLAP cubes using SSAS and Azure Analysis Services, as well as designing and deploying reports using SSRS and Power BI. Migrating on-premises SQL workloads to Azure SQL, Data Lake, and Synapse will be part of your tasks, along with building scalable data pipelines and processing workflows using Databricks (PySpark). You will be required to write complex T-SQL queries, stored procedures, functions, and triggers, and implement DevOps pipelines for data deployment and automation using Azure DevOps. Collaborating with stakeholders to convert business requirements into technical solutions will be essential, along with tracking and resolving issues through tools like ServiceNow, JIRA, or ALM. Maintaining technical documentation, including Low-Level Design and testing artifacts, is also expected. Your role will involve incorporating temporal dynamics into modeling strategy to enhance prediction accuracy over time, as well as designing and implementing scalable ML pipelines using Azure AI Hub, Foundry, Blob Storage, and Cosmos DB. Collaborating with architecture and platform teams to ensure smooth lift-and-shift deployment of the solution into client environments will also be part of your responsibilities. Integrating outputs with Azure OpenAI (GPT-4o) to build conversational interfaces via Microsoft Copilot Studio or Power Apps is a key aspect of the role. You will need to evaluate model performance using robust metrics such as accuracy, AUC-ROC, and ranking correlation. Working closely with stakeholders to translate business requirements into ML model specifications and insights delivery is crucial. Staying up to date with advances in NLP, ranking models, and the Azure ML ecosystem will also be important. Required Skills: - Deep experience with MSBI tools: SSIS, SSRS, SSAS, Power BI - Advanced SQL skills and experience with SQL Server (2008R22019) - Strong knowledge of Azure PaaS services: Data Factory, Databricks, Cosmos DB, Analysis Services - Programming in Python and C# - Hands-on experience with CI/CD and Azure DevOps - Sound knowledge of data warehousing, data modeling, and ETL principles - Strong communication and analytical skills with a proactive mindset Additional Skills: - Deep proficiency in Python, with expertise in transformers, Python/TensorFlow, Hugging Face, and data science libraries (pandas, scikit-learn) - Hands-on experience with BERT, pairwise learning, and ranking models - Prior exposure to temporal modeling techniques (e.g., sliding windows, time-based feature engineering) - Experience designing or integrating generative AI solutions (e.g., GPT-4, Claude, Gemini) - Familiarity with CRISP-DM methodology or other structured data science lifecycles About Grant Thornton INDUS: Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Established in 2012, Grant Thornton INDUS supports the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. The company employs professionals across various disciplines, including Tax, Audit, Advisory, and other operational functions. Grant Thornton INDUS is known for its collaborative approach, quality-driven mindset, and commitment to building strong relationships. Professionals at Grant Thornton INDUS are empowered, supported by bold leadership, and focused on delivering distinctive client service. The company values transparency, competitiveness, and excellence, offering significant opportunities for professionals to be part of a dynamic and impactful organization. Grant Thornton INDUS is actively involved in community service initiatives in India, reflecting its commitment to giving back to the communities it operates in. The company has offices in Bengaluru and Kolkata.,

You will work closely with teams across the company to understand their data requirements and develop solutions that enable data-backed decision-making. This will involve building, maintaining, and enhancing self-serve data products such as dashboards and tables to expedite insights and track product group KPIs. You will need to identify key metrics through rigorous exploratory data analysis, facilitating decision-making and business prioritization for senior-level stakeholders. Your role will also involve communicating findings effectively through well-documented analyses and visualizations. Additionally, you will be responsible for designing, executing, and evaluating experiments to test business hypotheses. As part of your responsibilities, you will manage a team of 2-5 data analysts, providing coaching, support, and setting them up for success. To be successful in this role, you should hold a Bachelor's Degree in Science, Engineering, IT, or Mathematics from a top-tier college. You should have at least 7 years of professional experience in data analytics and business intelligence, along with a minimum of 2 years of people management experience. A strong understanding of database designs and ETL principles is essential for this role. Hands-on experience with SQL, Python/R, and analytics tools like Power BI, Tableau, and Google Analytics is required for building dashboards and performance scorecards. You should possess the ability to comprehend business problems within an Omni Channel Retail context and utilize data to address them effectively. Strong stakeholder management skills are crucial, enabling you to manage expectations and negotiate assertively. Excellent communication, teamwork, and problem-solving skills are highly valued. Basic knowledge of machine learning techniques such as Regression and Classification is an added advantage for this role.,

As a System Analyst at AVIZVA, a Healthcare Technology Organization, you will play a crucial role in the product development team. Collaborating with product owners, system architects, and lead developers, you will be responsible for analyzing business, functional, and data requirements to derive system requirements. Your role will involve understanding the product's architecture, data modeling, data flow, integrations, and API documentation. Key Responsibilities: - Collaborate with product owners and stakeholders to gather and analyze business, functional, and data requirements. - Work with the system architect to understand the product's architecture, components, and data flows. - Conduct industry research on relevant datasets, identify entities, relationships, and attributes, and apply ETL principles. - Define data flow, validations, and business rules for data interchange between systems. - Define requirements for system integrations, data exchange, and API exposure. - Provide support to development teams, other product teams, and product owners on system design, integrations, and data flows. - Assist in backlog grooming activities through functional and data analysis. Skills & Qualifications: - Bachelor's or Master's degree in Computer Science or related field. - Minimum 4 years of experience in roles like Business Analyst or Systems Analyst. - Proficiency in data analysis, data modeling, SQL, and knowledge of Elasticsearch. - Experience in defining entities, APIs, and writing API specifications. - Ability to map data from various sources to consumer endpoints. - Strong analytical mindset and experience in BPMN & UML diagrams. - Exposure to requirements documentation like BRD, FRD, SRS, Use-Cases, User-Stories. - Familiarity with Atlassian suite (Jira, Confluence) and product implementations. - Experience in UX design activities and collaboration tools like Figma, Zeplin. - Awareness of Healthcare & Insurance business and data is advantageous.,