Role : Power BI DeveloperExperience Level : 3-4 YearsJob Type : Full-timeWe are seeking highly skilled and motivated Power BI Developers to join our dynamic team. As a Power BI Developer, you will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. The ideal candidate should have a solid understanding of data modeling, DAX, Power Query, Power Apps & Automate, data flow, optimization techniques, SQL queries, and possess excellent documentation and team management skills.Key Responsibilities :- Design and implement efficient data models in Power BI to support business requirements.- Ensure data models are scalable, optimized, and maintainable.- Develop and optimize DAX formulas for creating calculated columns, measures, and calculated tables.- Implement complex calculations and business logic in DAX.- Design and implement ETL processes using Power Query to transform and load data into Power BI.- Ensure data quality and integrity through effective data cleansing techniques.- Integrate Power BI with Power Apps and Power Automate to create end-to-end solutions.- Develop custom applications and automate business processes.- Design and manage data flows to streamline data integration and transformation.- Optimize data flow processes for improved performance.- Write and optimize SQL queries for data extraction and manipulation.- Collaborate with the database team to ensure efficient data retrieval.- Create and maintain comprehensive documentation for Power BI solutions, data models, and processes.- Ensure documentation is up-to-date and accessible to the team.- Collaborate with cross-functional teams to understand business requirements and deliver effective BI solutions.- Provide guidance and support to junior team members.Qualifications :- Bachelor's degree in Computer Science, Information Technology, or a related field.- 3-4 years of experience as a Power BI Developer.- Strong proficiency in data modeling, DAX, Power Query, Power Apps & Automate, data flow, optimization techniques, and SQL queries.- Experience in documentation and ability to communicate complex technical concepts to non-technical stakeholders.- Proven ability to work collaboratively in a team environment.Anywhere in India/Multiple Locations - -Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Responsibilities :- Collaborate with stakeholders to understand business requirements and data needs, and translate them into scalable and efficient data engineering solutions using AWS Data Services.- Design, develop, and maintain data pipelines using AWS serverless technologies such as Glue, S3, Lambda, DynamoDB, Athena, and RedShift.- Implement data modeling techniques to optimize data storage and retrieval processes.- Develop and deploy data processing and transformation frameworks to support both real- time and batch processing requirements.- Ensure data pipelines are scalable, reliable, and performant to handle large-scale data sizes.- Implement data documentation and observability tools and practices to monitor .

The job description of a UI/UX designer typically includes a range of responsibilities and qualifications aimed at creating intuitive, visually appealing, and functional interfaces for digital products. Here's a detailed breakdown:Job Responsibilities :1. User Research:- Conducting user research to understand the needs, behaviors, and motivations of the target users.2. Wireframing and Prototyping:- Creating wireframes, user flows, and prototypes to visualize and iterate on design concepts.3. Visual Design:- Designing the visual elements of the user interface, including color schemes, typography, and overall aesthetics.4. Interaction Design:- Defining and designing interactions and animations to enhance user experience and usability.5. Usability Testing:- Conducting usability testing and gathering feedback to iterate on designs and improve usability.6. Collaboration:- Working closely with cross-functional teams including product managers, developers, and other designers to ensure design solutions are implemented effectively.7. Documentation:- Creating design guidelines, style guides, and documentation to ensure consistency across products and platforms.8. Stay Updated:- Keeping up to date with industry trends, best practices, and evolving technologies in UI/UX design.Skills and Qualifications :1. UI Design Skills:- Proficiency in design tools such as Sketch, Adobe XD, Figma, or similar tools. Knowledge of responsive design principles.2. UX Design Skills:- Understanding of user-centered design principles, information architecture, and usability testing methodologies.3. Prototyping:- Experience with prototyping tools like InVision, Marvel, or Principle to create interactive prototypes.4. Coding Knowledge:- Basic understanding of HTML/CSS and knowledge of how designs translate to front-end development.5. Communication:- Strong communication and presentation skills to articulate design concepts and rationale to stakeholders.6. Analytical Thinking:- Ability to analyze complex problems and translate them into intuitive designs.7. Creativity:- Strong creative and visual design skills, with an eye for detail and a passion for creating exceptional user experiences.8. Team Player:- Ability to collaborate effectively with multidisciplinary teams in a fast-paced environment.Education and Experience :- A degree in Design, Human-Computer Interaction, or a related field is often preferred.- Relevant experience in UI/UX design, with a portfolio demonstrating previous work and projects.- Certifications or coursework in UX design, interaction design, or usability testing can be beneficial.Overall, UI/UX designers play a crucial role in creating digital experiences that are not only visually appealing but also intuitive and user-friendly, helping to enhance user satisfaction and achieve business goals.

Responsibilities :- Collaborate with stakeholders to understand business requirements and data needs, and translate them into scalable and efficient data engineering solutions using AWS Data Services.- Design, develop, and maintain data pipelines using AWS serverless technologies such as- Glue, S3, Lambda, DynamoDB, Athena, and RedShift.- Implement data modeling techniques to optimize data storage and retrieval processes.- Develop and deploy data processing and transformation frameworks to support both real- time and batch processing requirements.- Ensure data pipelines are scalable, reliable, and performant to handle large-scale data sizes.- Implement data documentation and observability tools and practices to monitor .Hands on experience of Spark, Scala and conversant with SQL (Scala +AWS is mandatory)Good knowledge on Hadoop (Oozie)Reverse engineer the SQL queries, Scala code to understand functionalityCapable of identifying, analysing and interpret patterns and trends in complex data sets5. Should have strong experience on AWS (EMR, S3)Has worked on creating database design, data models & techniques for data mining.Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

A Databricks Engineer is primarily responsible for designing, implementing, and maintaining data engineering solutions using the Databricks platform. Here's a detailed overview of their job profile:Responsibilities :Platform Implementation :- Deploy and configure Databricks clusters and environments based on project requirements.- Set up integrations with data sources, data lakes, and other platforms within the organization's ecosystem.Data Pipeline Development :- Design and develop scalable data pipelines using Databricks, Spark, and related technologies.- Implement ETL (Extract, Transform, Load) processes to ingest, process, and transform data from various sources.Performance Optimization:- Tune and optimize Spark jobs and Databricks clusters for performance, scalability, and cost-efficiency.- Monitor and troubleshoot performance issues, bottlenecks, and resource utilization.Data Modeling and Architecture:- Design data models and schemas to support analytical and reporting requirements.- Collaborate with data architects and analysts to ensure data structures meet business needs.Data Integration and Transformation:- Integrate data from different sources and formats into unified datasets suitable for analysis and reporting.- Implement data transformations and aggregations to prepare data for downstream analytics.Security and Governance:- Implement security policies and access controls within Databricks to protect sensitive data.- Ensure compliance with data governance standards and regulatory requirements.Automation and Orchestration:- Automate deployment, monitoring, and management tasks using Databricks APIs, CLI, and infrastructure-as-code tools.- Orchestrate data workflows and job scheduling to ensure timely execution and reliability.Collaboration and Documentation:- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.- Document technical designs, processes, and configurations for knowledge sharing and future reference.Skills :Databricks Expertise: In-depth knowledge of Databricks platform capabilities, Spark internals, and best practices.Big Data Technologies: Proficiency in Apache Spark, Scala/Python programming, and data processing frameworks.Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, GCP) and services (e.g., S3, Azure Data Lake, BigQuery).Database Management: Understanding of database systems and SQL for data manipulation and querying.Data Engineering: Strong skills in data modeling, ETL development, and data pipeline optimization.Scripting and Automation: Ability to write scripts and automate tasks using Python, Shell scripting, or similar.Problem-Solving: Analytical mindset and troubleshooting skills to resolve complex technical issues.Communication: Effective communication skills to collaborate with cross-functional teams and stakeholders.

The job profile of a Machine Learning (ML) / Artificial Intelligence (AI) Team Lead encompasses both technical leadership and managerial responsibilities, focusing on driving AI and ML initiatives within an organization. Here's an overview of their roles and responsibilities:Responsibilities :Technical Leadership :- Lead and mentor a team of machine learning engineers, data scientists, and AI specialists.- Provide technical guidance and expertise in developing and deploying machine learning models and AI solutions.- Drive innovation by exploring new algorithms, techniques, and technologies in AI/ML.Project Management :- Oversee the end-to-end development lifecycle of AI/ML projects, from ideation to deployment and maintenance.- Define project milestones, timelines, and deliverables; ensure projects are executed on time and within budget.- Collaborate with cross-functional teams (e.g., software engineering, product management) to align AI/ML initiatives with business goals.Strategy and Roadmap Development :- Develop and execute a strategic roadmap for AI/ML initiatives aligned with the organization's long-term goals.- Identify opportunities for leveraging AI/ML to solve business problems and drive operational efficiencies.- Evaluate and prioritize AI/ML projects based on feasibility, impact, and resource requirements.Team Development and Collaboration :- Foster a collaborative and inclusive team culture; promote knowledge sharing and continuous learning.- Conduct performance evaluations, provide feedback, and support career development for team members.- Build strong relationships with stakeholders across the organization to gather requirements and gain support for AI/ML initiatives.Quality Assurance and Governance :- Ensure the quality, accuracy, and reliability of machine learning models and AI systems through rigorous testing and validation.- Implement best practices for data governance, model monitoring, and performance evaluation.- Address ethical considerations and compliance requirements related to AI/ML applications (e.g., data privacy, bias mitigation).Communication and Stakeholder Management :- Communicate technical concepts and project updates effectively to non-technical stakeholders, including executives and clients.- Advocate for AI/ML capabilities and outcomes; influence decision-making through data-driven insights and business cases.- Manage expectations and resolve conflicts to maintain alignment between technical feasibility and business objectives.Skills :- Deep Technical Expertise : Proficiency in machine learning algorithms, statistical modeling, and AI techniques; experience with relevant tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).- Leadership and Team Management : Strong leadership skills with the ability to inspire, motivate, and empower a diverse team of AI/ML professionals.- Project Management : Experience in project planning, resource allocation, risk management, and Agile methodologies.- Strategic Thinking : Ability to formulate and execute AI/ML strategies that drive business growth and innovation.- Communication : Excellent verbal and written communication skills to convey complex technical concepts to both technical and non-technical audiences.- Problem-Solving : Analytical mindset with a focus on identifying solutions to complex technical challenges and optimizing AI/ML workflows.- Collaboration : Proven ability to collaborate effectively with cross-functional teams and stakeholders to achieve shared goals.

The job profile of a DevOps Engineer revolves around integrating development and operations teams to improve collaboration and productivity in software development and deployment processes. Here's a detailed breakdown of their responsibilities and skills:Responsibilities :1. CI/CD Pipeline Management :- Design, build, and maintain automated pipelines for continuous integration and continuous deployment (CI/CD) of applications.- Implement tools and practices to automate testing, building, and deployment processes, ensuring faster and more reliable software delivery.2. Infrastructure as Code (IaC) :- Use tools like Terraform, Ansible, or CloudFormation to automate infrastructure provisioning and configuration.- Manage cloud resources and environments efficiently, ensuring scalability, reliability, and cost-effectiveness.3. Configuration Management :- Implement configuration management tools (e.g., Chef, Puppet, Ansible) to maintain consistency across development, testing, and production environments.- Ensure configuration changes are automated and traceable, reducing manual errors.4. Monitoring and Logging :- Set up monitoring tools (e.g., Prometheus, ELK stack) to track application and infrastructure performance, availability, and reliability.- Configure logging mechanisms to capture and analyze logs for troubleshooting and performance optimization.5. Collaboration and Communication :- Foster a culture of collaboration between development, operations, and other teams to streamline processes and resolve issues efficiently.- Communicate effectively with stakeholders to understand requirements and priorities, and align DevOps initiatives with business goals.6. Security and Compliance :- Implement security best practices throughout the CI/CD pipeline to ensure applications are secure and compliant with industry standards (e.g., GDPR, HIPAA).- Automate security checks and audits to detect and mitigate vulnerabilities early in the development lifecycle.7. Cloud Services Management :- Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) and their services (e.g., EC2, S3, Lambda) to optimize infrastructure and application performance.- Monitor cloud costs and resource utilization, implementing strategies for cost optimization and resource allocation.8. Scripting and Automation :- Develop and maintain scripts (e.g., Python, Bash) for automating routine tasks, infrastructure management, and deployment processes.- Continuously improve automation scripts and workflows to enhance efficiency and reliability.9. Version Control and Collaboration Tools :- Use version control systems (e.g., Git) for managing code and configuration changes, ensuring versioning and traceability.- Utilize collaboration tools (e.g., Jira, Confluence) for project management, documentation, and cross-team communication.Skills :- Technical Skills: Proficiency in cloud platforms, scripting languages, CI/CD tools, configuration management, and monitoring tools.- Problem-Solving Skills: Ability to analyze complex technical issues and implement effective solutions.- Communication: Strong verbal and written communication skills to collaborate with diverse teams and stakeholders.- Adaptability: Capability to adapt to evolving technologies and methodologies in DevOps practices.- Teamwork: Work effectively as part of a team and lead initiatives to improve processes and efficiency.- In essence, a DevOps Engineer plays a pivotal role in modern software development by enhancing collaboration, automating processes, and ensuring scalability, security, and reliability of applications and infrastructure.

Role : Snowflake EngineerJob Brief :The successful applicant will be working within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.Experience: Total Expirence : 5 yrs. Relevant Experience : 2 yrs.Position Open : 1Job Location : Ahmedabad Salary : Not a constraint for the right candidateRoles and Responsibility :1. Database and Datawarehouse Expertise : - Demonstrate excellent understanding of Database and Datawarehouse concepts. - Strong proficiency in writing SQL queries. 2. Snowflake Cloud Data Warehouse : - Design and implement Snowflake cloud data warehouse. - Develop and implement cloud-related architecture and data modeling. 3. Migration Projects : - Manage migration projects, specifically migrating from On-prem to Snowflake. 4. Snowflake Capabilities : - Utilize comprehensive knowledge of Snowflake capabilities such as Snow pipe, Stages, SnowSQL, Streams, and tasks. 5. Advanced Snowflake Concepts : - Implement advanced Snowflake concepts like setting up resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone.6. Data Migration Expertise : - Possess in-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse. 7. Snowflake Feature Deployment : - Deploy Snowflake features such as data sharing, event, and lake house patterns. 8. Incremental Extraction Loads : - Execute Incremental extraction loads, both batched and streaming. Skill Requirement :- Excellent understanding of Database and Datawarehouse concepts.- Strong proficiency in SQL query writing.- Experience in migration projects, specifically migrating from On-prem to Snowflake.- Comprehensive knowledge of Snowflake capabilities (Snow pipe, Stages, SnowSQL, Streams, and tasks).- Implementation of advanced Snowflake concepts (resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone).- In-depth experience in data migration from RDBMS to Snowflake cloud data warehouse.- Deployment of Snowflake features such as data sharing, event, and lake house patterns.- Proficient in Incremental extraction loads batched and streaming. Technical skills additional :- Good to have experience with Snowpark.- Snowflake Certification.Qualification : Bachelor's or Master's degree in Computer Science or related field.Office Timings : 10.00 AM to 7.00 PMPerks and Benefits :- 5-Days a week- Flexible working hours- Annual company trip- Medical Insurance- A hybrid working model- Skill refining programs- Bonuses and pay raise

We are seeking an experienced Tableau Developer to join our dynamic team. The ideal candidate will have 3-5 years of hands-on experience in Tableau development, with a strong understanding of SQL and data warehousing concepts. As a Tableau Developer, you will be responsible for designing, developing, and maintaining interactive dashboards and reports to enable data-driven decision-making across the organization.Key Responsibilities :- Design, develop, and maintain Tableau dashboards and reports to visualize data insights and support business objectives.- Collaborate with stakeholders to gather requirements and translate them into effective visualizations.- Optimize Tableau performance and ensure scalability of dashboards for large datasets.- Develop and maintain SQL queries for data transformation, and Analytics processes.- Work closely with the data engineering team to ensure the availability and quality of data for reporting purposes.- Conduct thorough testing and validation of Tableau dashboards to ensure accuracy and reliability of data visualizations.- Provide technical support and troubleshooting assistance to end-users regarding Tableau dashboards and related data issues.- Stay updated with the latest Tableau features, best practices, and industry trends to continuously improve reporting solutions.- Solid RDMS experience and data modeling and advanced querying skills.- Strong ability to extract information by questioning, active listening, and interviewing.- Awareness of agile/iterative approaches.- Strong analytical and problem-solving skills.- Excellent writing skills, with the ability to create clear requirements, specifications, and Documentation.- Experience using JIRA / Confluence is needed.Qualifications :- Bachelor's degree in Computer Science, Information Technology, or related field.- 3-5 years of proven experience as a Tableau Developer or similar role.Preferred Qualifications :- Tableau Desktop/Server certification.- Experience with other BI tools such as Power BI, QlikView, or Looker.- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud Platform).Location : - Anywhere in india / Multiple Locations

The successful applicant will be working within a highly specialised and growing team to enable delivery of data and advanced analytics system capability.Roles and Responsibility : - Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting- Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context- Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization- Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc- Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency- Build data solutions that leverage controls to ensure privacy, security, compliance and data quality- Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines.- Deep understanding of cutting edge cloud technology and frameworks to enable Data Science- System integration skills between Business Intelligence and source transactional- Improving overall production landscape as required- Define strategies with Data Scientists to monitor models post production- Write unit tests and participate in code reviewsSkill Requirement :- Expert in programming languages such as R, Python, Scala and Java- Expert database knowledge in SQL and experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure stream analytics and PowerBI- Modern Azure datawarehouse skills Consulting Services (Tech Talents | Contracting & Permanent) | Solution Engineering | SaaS Products (Consulting, Implementation & User-adoption)- Expert Unix/Linux admin experience including shell script development- Exposure to AI or model development- Experience working on large and complex datasets- Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)- ML model optimization skills in a production environment- Production environment machine learning and AI- DevOps/DataOps and CI/CD experienceTechnical skills additional : AWS experienceQualification : Bachelor's or Master's degree in Computer Science or related field.

Role : Snowflake EngineerJob Brief :The successful applicant will be working within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.Roles and Responsibility :1. Database and Datawarehouse Expertise :- Demonstrate excellent understanding of Database and Datawarehouse concepts.- Strong proficiency in writing SQL queries.2. Snowflake Cloud Data Warehouse :- Design and implement Snowflake cloud data warehouse.- Develop and implement cloud-related architecture and data modeling.3. Migration Projects :- Manage migration projects, specifically migrating from On-prem to Snowflake.4. Snowflake Capabilities :- Utilize comprehensive knowledge of Snowflake capabilities such as Snow pipe, Stages, SnowSQL, Streams, and tasks.5. Advanced Snowflake Concepts :- Implement advanced Snowflake concepts like setting up resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone.6. Data Migration Expertise :- Possess in-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse.7. Snowflake Feature Deployment :- Deploy Snowflake features such as data sharing, event, and lake house patterns.8. Incremental Extraction Loads :- Execute Incremental extraction loads, both batched and streaming.Skill Requirement :- Excellent understanding of Database and Datawarehouse concepts.- Strong proficiency in SQL query writing.- Experience in migration projects, specifically migrating from On-prem to Snowflake.- Comprehensive knowledge of Snowflake capabilities (Snow pipe, Stages, SnowSQL, Streams, and tasks).- Implementation of advanced Snowflake concepts (resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone).- In-depth experience in data migration from RDBMS to Snowflake cloud data warehouse.- Deployment of Snowflake features such as data sharing, event, and lake house patterns.- Proficient in Incremental extraction loads batched and streaming.Technical skills additional : - Good to have experience with Snowpark.- Snowflake Certification.