Primary responsibilities include : Perform user acceptance testing from the investigation teams point of view for every feature / data / system that the technology team migrates to production. Have good analytical skills to perform analysis of transactions Be a person with excellent stakeholder management skills i.e. listen to investigation teams concerns and translate that information to the technology team. Perform discovery of newer ERP systems and become a subject matter on those Qualifications : I am thinking someone with an MBA in finance would be good to start with as they have both financial/business experience and technology exposure Preferably worked as an analyst in companies like pwc, Deloitte, EY etc. Should know SQL language to perform UAT (This is a must have)

Summary: We are seeking a motivated and detail-oriented Data Quality Engineer to join our team and contribute to ensuring the accuracy, completeness, and reliability of our data. In this role, you will be responsible for implementing data quality checks, monitoring data quality, and identifying and resolving data quality issues. Experience with SODA (or similar data quality frameworks) is preferred. Responsibilities: Implement and maintain data quality checks and validations using various tools and techniques. Develop and execute data quality test plans and test cases. Automate data quality processes, including data profiling, data quality checks, and reporting. Contribute to the implementation and maintenance of data quality frameworks and tools. (Preferred) Utilize SODA (or similar frameworks) to define data quality checks, configure data sources, and generate data quality reports. Collaborate with data engineers, data analysts, and other stakeholders to ensure data quality requirements are met. Communicate data quality issues and findings to relevant stakeholders. Investigate and analyze data quality problems to determine root causes.

Job Title: Senior Power BI Location: offshore Job Summary: We are seeking a highly skilled Senior Power BI Specialist with deep expertise in data modeling to join our analytics team. The ideal candidate will excel in Power BI, demonstrate a strong analytical mindset, and have a solid understanding of data modeling at both the Power BI and data warehouse levels. This role requires an individual capable of handling large datasets, identifying patterns, transforming raw data into insightful, actionable reports and possessing strong debugging skills Responsibilities : - Develop, design, and maintain Power BI reports, dashboards, and visualizations to support data driven decision making. - Serve as a data modeler, creating efficient and scalable data models in Power BI and at the data warehouse level. - Analyze and interpret large datasets, identifying trends, patterns, and actionable insights. - Expertly decide on Power BI connectivity modes (Direct Query, Import, etc.) based on data volume and performance requirements. - Utilise advanced DAX functions and Power Query to optimize data transformations and calculations. - Oversee the deployment and management of Power BI Service, including security, data refresh, and performance tuning. - Collaborate with stakeholders to gather requirements and design data models that support business objectives. - Perform SQL-based data extraction and manipulation to support Power BI requirements. - Debug and resolve issues in Power BI reports, SQL code, and data, ensuring data accuracy, performance optimization, and consistent issue resolution. - Apply basic knowledge of ETL processes to enhance data transformation and integration. Requirements: -5+ years of experience in Power BI, with a strong background in data modeling for both Power BI and data warehouses. - In depth understanding of Power BI tool or BI process. - Excellent communication skills. - Proven ability to design, develop, and optimize data models for large datasets and complex reporting needs. - Strong analytical and debugging skills to identify, analyze, and resolve issues within Power BI reports, SQL code, and data, ensuring data accuracy and performance. - Proficiency in DAX and Power Query, with advanced knowledge of data modeling concepts. - Strong SQL skills for querying, troubleshooting, and data manipulation. - Good understanding of ETL processes. - In-depth knowledge of Power BI Service, including workspaces, datasets, dataflows, and security configurations. Nice to have: - Familiarity with integrating Power BI reports into other applications or platforms. - Knowledge of Power Apps and Power Automate for automation. - Knowledge of Azure Data Factory (ADF) for data integration. - Basic understanding of Python programming.

Summary: We are seeking a skilled and proactive Data Engineer with a strong background in ETL development and a focus on integrating data quality frameworks. In this role, you will be responsible for designing, developing, and maintaining ETL pipelines while ensuring data quality is embedded throughout the process. You will play a crucial role in building robust and reliable data pipelines that deliver high-quality data to our data warehouse and other systems. Responsibilities: Design, develop, and implement ETL processes to extract data from various source systems, transform it according to business requirements, and load it into target systems (e.g., data warehouse, data lake) Implement data validation and error handling within ETL pipelines. Build and maintain scalable, reliable, and efficient data pipelines. Design and implement data quality checks, validations, and transformations within ETL processes. Automate data quality monitoring, alerting, and reporting within ETL pipelines. Develop and implement data quality rules and standards within ETL processes. Integrate data from diverse sources, including databases, APIs, flat files, and cloud-based systems. Utilize ETL tools and technologies (e.g., SnapLogic, Informatica PowerCenter, Talend, AWS Glue, Apache Airflow, Azure Data Factory, etc.). Write SQL queries to extract, transform, load, and validate data. Use scripting languages (e.g., Python) to automate ETL processes, data quality checks, and data transformations.

Anblicks Analytics, thought leader in Data and Cloud Solutions, is looking for a dynamic Assistant Manager - Content Marketing. Job Summary Assistant Manager - Content Marketing will play a crucial role in developing and executing effective content strategies to drive brand awareness, generate leads, and engage our target audience. You will work closely with our marketing team to create compelling content that resonates with our customers and positions us as a thought leader in our industry. Responsibilities Develop and implement comprehensive content marketing strategies aligned with our overall marketing goals. Create high-quality content, including blog posts, articles, whitepapers, infographics, case studies, and social media posts. Conduct thorough keyword research to optimize content for search engines and improve organic visibility. Manage content calendars and editorial workflows to ensure timely delivery of content. Collaborate with design and development teams to create visually appealing and engaging content. Track and analyze content performance metrics to measure effectiveness and identify areas for improvement. Stay up to date with industry trends and best practices in content marketing. Qualifications Excellent oral communications Passion to explore data sciences discipline Bachelor s degree/master s degree in marketing, Communications, Journalism, or a related field. 5+ years of experience in content marketing or a similar role. Work with tech practitioners to collect, collate and present data in the best possible manner. Work on internal communications and external communications Ability to write engaging social media posts Ability to write tech articles on behalf of the leadership team Strong writing and editing skills, with the ability to create clear, concise, and engaging content. Experience with content management systems (CMS) and SEO tools. Knowledge of social media platforms and best practices. Strong analytical skills and ability to measure and report on content performance. Excellent communication and interpersonal skills. Passion for storytelling and the ability to connect with audiences on an emotional level. Preferred Skills Experience with email marketing and marketing automation tools. Knowledge of graphic design or video production. Experience in B2B content marketing. What We Offer A chance to be part of a dynamic and innovative company working on cutting-edge technologies. Competitive salary and benefits package. Professional growth and development. A collaborative and supportive work environment focused on learning

About The Role As ETL Test Engineer you will be expected to perform manual and automation testing in validating data sources, extraction of data, applying transformation logic, and loading data into target tables, working closely with data engineering functions to ensure a sustainable test approach. Responsibilities Collaborate closely with Data Engineering teams to gather requirements, understand data needs, and translate them into test cases. Design, build and maintain test plan and cases for ETL and data testing. Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data. Execute manual and automated tests using Azure Databricks and ADF pipelines. Conduct validations for Power BI semantic Models and reports using PBI tools. Work in an Agile environment using Azure tools. Qualifications Bachelor s degree in computer science Engineering, or a related field. Equivalent work experience will also be considered. 5+ years experience in data engineering testing, ELT testing is a must. Strong proficiency in SQL and experience with Databricks and data warehousing. Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance. Strong understanding of Power BI Semantic models, measures and reports. Strong programming skills, particularly in Python, with experience in automation for Data Testing. Knowledge of cloud-based data platforms (preferably Azure) and their associated data services. Exposure and knowledge on Linux/Unix platforms. Excellent problem-solving and troubleshooting skills, with a strong attention to detail. Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams. Must Have Skills ETL Testing and tools. Python programming. SQL Power BI Azure Databricks and Datafactory.

Job Title: Senior Power BI Location: offshore Job Summary: We are seeking a highly skilled Senior Power BI Specialist with deep expertise in data modeling to join our analytics team. The ideal candidate will excel in Power BI, demonstrate a strong analytical mindset, and have a solid understanding of data modeling at both the Power BI and data warehouse levels. This role requires an individual capable of handling large datasets, identifying patterns, transforming raw data into insightful, actionable reports and possessing strong debugging skills Responsibilities : - Develop, design, and maintain Power BI reports, dashboards, and visualizations to support data driven decision making. - Serve as a data modeler, creating efficient and scalable data models in Power BI and at the data warehouse level. - Analyze and interpret large datasets, identifying trends, patterns, and actionable insights. - Expertly decide on Power BI connectivity modes (Direct Query, Import, etc.) based on data volume and performance requirements. - Utilise advanced DAX functions and Power Query to optimize data transformations and calculations. - Oversee the deployment and management of Power BI Service, including security, data refresh, and performance tuning. - Collaborate with stakeholders to gather requirements and design data models that support business objectives. - Perform SQL-based data extraction and manipulation to support Power BI requirements. - Debug and resolve issues in Power BI reports, SQL code, and data, ensuring data accuracy, performance optimization, and consistent issue resolution. - Apply basic knowledge of ETL processes to enhance data transformation and integration. Requirements: - 6+/7+ years of experience in Power BI, with a strong background in data modeling for both Power BI and data warehouses. - In depth understanding of Power BI tool or BI process. - Excellent communication skills. - Proven ability to design, develop, and optimize data models for large datasets and complex reporting needs. - Strong analytical and debugging skills to identify, analyze, and resolve issues within Power BI reports, SQL code, and data, ensuring data accuracy and performance. - Proficiency in DAX and Power Query, with advanced knowledge of data modeling concepts. - Strong SQL skills for querying, troubleshooting, and data manipulation. - Good understanding of ETL processes. - In-depth knowledge of Power BI Service, including workspaces, datasets, dataflows, and security configurations. Nice to have: - Familiarity with integrating Power BI reports into other applications or platforms. - Knowledge of Power Apps and Power Automate for automation. - Knowledge of Azure Data Factory (ADF) for data integration. - Basic understanding of Python programming.

Lead Data Scientist - GenAI Location: Hyderabad (Onsite/Hybrid) Experience: 8+ years Only Immediate to 30 Days Notice Period will be preferable. About the Role: We are looking for a Project Lead - GenAI with strong expertise in AI, Machine Learning, and Generative AI to lead the development of innovative AI-driven solutions. In this role, you will drive the design, development, and deployment of LLMs, NLP models, and AI agents , ensuring they scale effectively within modern application architectures. If you are an experienced Python engineer with hands-on experience in AI/ML and MLOps , this is a great opportunity to lead impactful projects in a fast-paced environment. Key Responsibilities: Lead and oversee the development of Generative AI solutions from concept to deployment. Design and build scalable AI applications leveraging LLMs, NLP, and AI agents . Architect and optimize data pipelines for AI model training, tuning, and deployment. Implement MLOps best practices for streamlined model deployment and monitoring. Develop and integrate AI models within microservices and event-driven architectures . Stay ahead of the latest advancements in GenAI, AI frameworks, and model fine-tuning techniques . Collaborate with cross-functional teams, including data engineers, ML scientists, and software developers . Drive best coding practices, performance optimization, and AI ethics considerations in AI model development. Must-Have Skills: 8+ years of experience in AI/ML, with a focus on GenAI and NLP. Strong Python engineering skills with experience in building scalable applications. Expertise in Transformers, LLMs, NLP, Machine Learning, and AI agents. Hands-on experience in data pipelines, model training & deployment, and MLOps. Experience working with modern application architectures (Microservices, Event-Driven Systems). Preferred Skills: Knowledge of FastAPI for high-performance API development. Experience with Snowflake for data storage and processing. Hands-on experience with PyTorch or TensorFlow for deep learning model development. Familiarity with LangChain & OpenAI APIs for integrating LLMs into applications. Strong communication & interpersonal skills to lead and collaborate effectively.

Hiring Talend Engineers! Exp-4-10 years Location-Hyderabad/Permanent Hybrid Mode Role & responsibilities We are seeking a Data Engineer responsible for developing and implementing the IT technology strategy for the Mortgage Servicing team. This role involves collaborating with business and product teams to design, build, and deliver processes that drives our business and technology objectives within the Mortgage industry. The Data Engineer will focus on executing key initiatives and consolidating research and technologies into a unified technical roadmap to create innovative solutions for both organization and customers. Skill required: 4+ years of experience in IT. Talend engineers preferably with snowflake experience. Experience in ETL processes and Data modelling. Understanding of IT concepts and methodologies. Communication: Strong communication skills to collaborate with cross-functional teams. Problem-Solving: Excellent problem-solving skills and attention to detail

Snowflake Data Engineer Exp-5+ years Location-Hyderabad Role & responsibilities Key Responsibilities: Design, develop, and maintain data pipelines using Snowflake. Perform data transformations using dbt (data build tool). Implement data sharing solutions to facilitate data access across teams. Ensure data security and compliance with industry standards. Conduct data migrations and optimize data storage solutions. Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements. Monitor and troubleshoot data pipeline issues to ensure data accuracy and availability. Document data processes and maintain comprehensive technical documentation. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 3-5 years of experience in data engineering, with a focus on Snowflake. Proficiency in SQL and experience with dbt for data transformations. Strong understanding of data warehousing concepts and best practices. Experience with data sharing, security, and compliance in a cloud environment. Familiarity with ETL/ELT processes and tools. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Cappius Technologies Pvt. Ltd. is looking for Data Engineer to join our dynamic team and embark on a rewarding career journey. Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

Job Summary: We are seeking a friendly, professional, and organized Receptionist to be the first point of contact for our company. The ideal candidate will handle front desk responsibilities, provide administrative support, and ensure smooth day-to-day operations. Key Responsibilities: Greet and welcome visitors in a warm and professional manner Answer and direct phone calls efficiently Manage incoming and outgoing mail and deliveries Maintain a clean and organized reception area Schedule and manage appointments or meetings Oversee office boys and assign tasks as needed Ensure office cleanliness and tidiness is maintained at all times Assist with administrative tasks such as data entry, filing, and document preparation Handle inquiries and provide accurate information about the company s services Coordinate with different departments for smooth office operations Ensure security procedures are followed by monitoring visitor access Maintaining compliance and clearing ISO SOC audits Employee engagement Event planning and execution

Lead Data Engineer to design, develop, and maintain data pipelines and ETL workflows for processing large-scale structured and unstructured data. The ideal candidate will have expertise in Azure Data Services (Azure Data Factory, Synapse, Databricks, SQL, SSIS, and Data Lake) along with big data processing, real-time analytics, and cloud data integration and Team Leading Experience. Key Responsibilities: 1. Data Pipeline Development ETL/ELT Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines ,Databricks, SSIS and ADF Connectors like Salesforce. Implement ETL/ELT workflows for structured and unstructured data processing. Optimize data ingestion, transformation, and storage strategies. 2. Cloud Data Architecture Integration Develop data integration solutions for ingesting data from multiple sources (APIs, databases, streaming data). Work with Azure Data Lake, Azure Blob Storage, and Delta Lake for data storage and processing. 3. Database Management Optimization Design and maintain cloud data bases (Azure Synapse, BigQuery, Cosmos DB). Optimize SQL queries and indexing strategies for performance. Implement data partitioning, compression, and caching for efficiency. 4. Data Governance, Security Compliance Ensure data quality, lineage, and governance with tools like Purview. Implement role-based access control (RBAC), encryption, and security policies. Ensure compliance with GDPR, HIPAA, and ISO 27001 regulations. 5. Monitoring Performance Tuning Use Azure Monitor, Log Analytics, and OpenTelemetry to track performance and troubleshoot data issues. Automate data pipeline testing and validation. 6. Collaboration Documentation Document data models, pipeline architectures, and data workflows. Technical Skills: Cloud Data Services: Azure Data Factory, Azure Synapse, Databricks, SSIS, BigQuery. ETL Data Pipelines: Apache Spark, Python, SQL. Big Data Processing: Delta Lake, Parquet, Hadoop, Event Hubs. Database Management: SQL Server, Cosmos DB. Security Compliance: RBAC, Data Masking, Encryption, Purview. Scripting Automation: Python, PowerShell, Terraform for IaC.

6+ years Experience 1.Data Modeling: Kimbal Model, Start Schema, Snowflake Schema and Data Vault models 2. Any database of listed - Snowflake/My SQL/Azure SQL/Redshift 3.Snowflake schema, Snowflake modeling 4. Any ETL Tool preferred is ADF(Azure Data Factory) 5. DBT is good to have

Role Overview: The Junior Executive in L&D Team will assist in various HR functions, particularly within Learning & Development and Resource Management. This role offers an excellent opportunity to gain hands-on experience in HR practices, employee development programs, resource planning, and overall HR operations in a dynamic and fast-paced environment. Key Responsibilities: Assist in organizing and coordinating employee training programs, workshops, and development sessions. Support the preparation and delivery of L&D initiatives, including the creation of training materials, content, and presentations. Help track and maintain employee training records and certifications. Assist in the onboarding process by providing logistical support and ensuring resources are available for new employees. Support resource management activities, including scheduling and allocation of internal and external resources for projects and teams. Help manage internal communication regarding training schedules, resources, and HR policies. Maintain and update HR databases, spreadsheets, and reports related to L&D and resource management. Assist in research related to employee training needs, industry trends, and best practices in resource management. Qualifications: A degree in Human Resources, Business Administration, Psychology, or a related field. Strong interest in Learning & Development, Employee Engagement, and Resource Management. Excellent communication skills, both written and verbal. Basic knowledge of L&D practices, employee development, and resource management. Strong organizational skills and attention to detail. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Ability to work independently and as part of a team. Enthusiastic, proactive, and willing to learn. What You Will Gain: Practical experience in HR, L&D, and resource management. Exposure to various HR tools and technologies. An opportunity to contribute to employee development and team success. Mentorship and guidance from experienced HR professionals. Insight into the HR functions and operations of a growing company.

Hiring Talend Engineers! Exp-8-12 years Location-Hyderabad/Permanent Hybrid Mode Role & responsibilities We are seeking a Data Engineer responsible for developing and implementing the IT technology strategy for the Mortgage Servicing team. This role involves collaborating with business and product teams to design, build, and deliver processes that drives our business and technology objectives within the Mortgage industry. The Data Engineer will focus on executing key initiatives and consolidating research and technologies into a unified technical roadmap to create innovative solutions for both organization and customers. Skill required: 8+ years of experience in IT. Talend engineers preferably with snowflake experience. Experience in ETL processes and Data modelling. Understanding of IT concepts and methodologies. Communication: Strong communication skills to collaborate with cross-functional teams. Problem-Solving: Excellent problem-solving skills and attention to detail

Human Resource Management Business HR | HRBP | HR Operations | HRSS | RMG IT As an HR professional -looking for 10 +years of experience ,pref Masters in HR .Some with hands on and strategic thinking and analytical bend of mind. Key skillsets- Business Stakeholder Management,Workforce planning, Onboarding Induction, Performance Management, Employee Engagement Programs, Employee Relations, Retention, Employee Exit Process, Bench Management, HR Administration and Audit, Operations Management,managing Insurance | Subtitling.

Hiring Talend Engineers! Exp-5-8 years Location-Hyderabad/Permanent Hybrid Mode Key Responsibilities: End-to-end ETL solution development using Talend or DataStage .. Collaborate with business stakeholders and data analysts to gather requirements and deliver optimized solutions. Perform code reviews, mentor junior team members, and ensure adherence to data quality and performance standards. Manage job orchestration, scheduling, and error handling mechanisms. Document ETL workflows, data dictionaries, and system processes. Ensure data privacy and compliance requirements are embedded in all solutions. Required Skills: Strong experience in ETL tools Talend (preferred) or IBM DataStage.Solid understanding of mortgage lifecycle and related data domains.Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, Snowflake).Familiarity with job scheduling tools , version control , and CI/CD pipelines . Excellent problem-solving, leadership, and communication skills.

Primary Duties Designing Data Models: Utilize Kimball data modeling techniques and Data Vault 2.0 methodologies to create and maintain robust data models. Data Integration: Use Fivetran for seamless data extraction and loading, and Azure Data Factory (ADF) for orchestrating data workflows. Data Warehousing: Manage and optimize data storage in Snowflake, ensuring efficient data retrieval and processing. Data Transformation: Develop and maintain transformation scripts using DBT (Data Build Tool) to convert raw data into actionable insights. Maintaining Data Documentation: Ensure all data processes and models are well-documented and easily understandable. Communicating Results: Present data insights to stakeholders through visual representations and reports. Collaborating: Work closely with data analysts, data engineers, and business executives to align data strategies with business goals. Skills Required Technical Skills: Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI. Analytical Skills: Ability to interpret complex data and provide actionable insights. Communication Skills: Strong ability to explain technical concepts to non-technical stakeholders. Problem-Solving: Aptitude for identifying issues within data and developing solutions.

Job Role: Data analyst Job Summary: We are seeking a skilled Data Analyst with strong experience in the Mortgage domain to join our team. The ideal candidate will be responsible for analyzing mortgage-related data, supporting decision-making, generating business insights, and contributing to ongoing data integration and reporting initiatives. Key Responsibilities: Analyze mortgage loan data, origination, servicing, delinquency, and default trends. Collaborate with business stakeholders to gather data requirements and translate them into actionable insights. Develop dashboards and reports using tools such as Power BI or Tableau. Write complex SQL queries to extract, manipulate, and validate data from relational databases. Work with ETL pipelines to clean, transform, and load data for reporting. Document business rules, data definitions, and report specifications. Provide data-driven insights for process improvements and risk analysis in mortgage operations. Ensure data quality and consistency across systems and processes. Required Skills: Strong knowledge of SQL (must-have) Hands-on experience with Power BI / Tableau / Looker Experience working with Excel, Python (Pandas/Numpy optional), and ETL tools Familiarity with data modeling and data warehouse concepts Good understanding of mortgage lifecycle Origination, Underwriting, Servicing, Foreclosure, etc. Experience working with large datasets and relational databases Preferred Qualifications: Bachelor’s or master’s degree in computer science, Information Systems, Finance, or related field Experience working in Agile/Scrum environments Knowledge of US mortgage regulations and investor guidelines (e.g., Fannie Mae, Freddie Mac) is a plus Exposure to cloud platforms (AWS/Azure/GCP) is desirable