As an Account Manager in the Data & AI space, you will be pivotal in managing customer relationships and driving business growth. You will collaborate closely with clients and internal teams to understand business challenges and demonstrate how our Data and AI solutions, including generative AI, can effectively address these challenges and contribute to their success. Key Responsibilities Revenue Management: Support revenue targets for assigned accounts, ensuring alignment with overall business objectives. Account Development: Assist in developing and executing account growth strategies focused on Data and AI solutions, including generative AI applications. Customer Relationship Management: Nurture existing customer relationships to identify upsell and cross-sell opportunities, acting as a trusted advisor to clients. New Business Opportunities: Identify and qualify new business opportunities through marketing efforts and referrals. Collaboration with Teams: Work closely with pre-sales, technical, and marketing teams to deliver tailored solutions that meet client needs. Sales Pipeline Tracking: Maintain and manage sales pipeline, tracking deal progress and revenue forecasts. Market Awareness: Stay updated on industry trends, emerging AI technologies, and competitor activities within the Data & AI space. Product Knowledge: Develop a strong understanding of our Data and AI solutions to effectively communicate their value to clients. Sales Presentations: Assist in the development and delivery of sales presentations that showcase the value proposition of our solution. Ideal Candidate Profile 5-10 years of experience in Account Management, Business Development, or Customer Success. Strong understanding of Data & AI concepts, including Generative AI, and their applications in various industries. Proven ability to manage client relationships and drive customer satisfaction. Excellent communication, negotiation, and interpersonal skills. Proficiency in CRM and sales enablement tools. Experience working in a fast-paced environment. Technical aptitude to explain complex AI concepts to non-technical audiences. Strong collaboration skills with cross-functional teams. Why Join Exponentia.ai Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms Shape the Practice: Build a marquee capability from the ground up with full ownership Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore Continuous Growth: Access to certifications, tech events, and partner-led innovation labs Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

We are seeking a hands-on Senior Data Engineer with 5-8 years of experience to help establish the data foundation for our Databricks POC and sandbox environments. This role requires a self-driven expert with deep technical knowledge of modern data engineering and the Databricks platform. Key Responsibilites: Design and build ETL pipelines Analyse data and derive insights using Analytics Implement solutions on Databricks. Should be we'll versed with all features/services of Databricks and use standard practices in implementation Work in Agile environment Individual contributor with ability to pick and deliver solutions. Delivered on multiple projects in the past. 5-8 years of professional experience in data engineering, with multiple project deliveries. Strong hands-on expertise in Databricks , including Delta Lake, jobs, clusters, and notebooks. Proficient in SQL and either Python or Scala . Deep understanding of ETL/ELT processes , data modeling, and big data processing. Experience working on cloud platforms (eg, Azure, AWS, or GCP). Familiarity with CI/CD pipelines , version control systems (Git), and Agile methodologies. Excellent analytical and problem-solving abilities with the ability to work independently. Preferred Skills Experience with MLflow , Unity Catalog , and Lakehouse architecture . Knowledge of data governance , data quality frameworks , and security best practices. Prior involvement in setting up proof-of-concept (POC) or sandbox environments for data platforms.

Qlik Expertise: Hands-on experience in QlikView and Qlik Sense, including extensive knowledge of Qlik reporting, modeling, scripting, and visualization techniques. Qlik Scripting & Expressions: In-depth knowledge of Qlik scripting language, including set analysis, variables, data load scripting, and data transformations. Alerting & NPrinting: Hands-on experience with Qlik alerting and NPrinting for scheduling and report generation. Qlik Extensions: Experience in using and creating Qlik extensions for advanced reporting and visualization. Analytical Mindset: Strong analytical and problem-solving skills with the ability to design and deliver complex business intelligence solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Collaboration: Strong team player with the ability to collaborate effectively with cross-functional teams.

We are looking for a highly skilled and motivated Full-Stack Developer to join our dynamic team in the gaming industry, with a focus on fantasy sports. The ideal candidate must have strong hands-on experience with Flutter for mobile app development, Express.js for backend services, and PostgreSQL for database management, coupled with a solid understanding of DevOps practices. Experience with Infrastructure as Code (IaC) tools like OpenTofu or Terraform is a plus, and AWS experience will be highly valued. We are particularly interested in candidates with a background in the fantasy sports industry, familiar with its unique use cases and challenges. You will be responsible for designing, developing, and managing both the front-end and back-end components of our fantasy sports platform. You ll also collaborate with our DevOps team to ensure smooth deployment, scaling, and performance optimization of our services on AWS infrastructure. Key Responsibilities: * Mobile Development: Develop and maintain high-performance mobile applications using Flutter that provide an exceptional user experience for millions of fantasy sports enthusiasts. * Backend Development: Build and maintain robust, scalable RESTful APIs using Express.js to handle high-volume data and real-time updates for live sports events. * Database Management: Design, optimize, and maintain PostgreSQL databases for storing and retrieving fantasy sports data. Ensure database performance, scaling, and data integrity with large volumes of real-time sports data. * DevOps & Infrastructure Management: Collaborate with the DevOps team to deploy, manage, and monitor applications on AWS. Experience with OpenTofu or Terraform for Infrastructure as Code (IaC) is a plus, but not required. Automate infrastructure provisioning, scaling, and monitoring to ensure high availability and reliability. * CI/CD Pipelines: Set up and manage CI/CD pipelines to ensure fast and reliable code deployment. * Fantasy Sports Use Cases: Design and implement features such as live score updates, team management, player stats tracking, contests, and leaderboard systems that are specific to fantasy sports. * Scalability and Performance Optimization: Ensure the platform is optimized for high concurrency and low latency, handling millions of real-time events during peak sports seasons. * Security: Implement security best practices for both mobile and backend services, ensuring data protection, secure transactions, and privacy compliance. * Collaboration: Work closely with product managers, designers, and other developers to bring features from concept to reality. Required Skills and Experience: * 3+ years of hands-on development experience in a Full-Stack role, specifically with Flutter, Express.js, and PostgreSQL. * Strong knowledge of Flutter for cross-platform mobile app development (Android and iOS). * Proficient in Node.js and Express.js for backend service development with RESTful APIs. * Database management experience with PostgreSQL, including database schema design, optimization, query tuning, and scaling for high-performance systems. * Experience with DevOps, including CI/CD pipelines, AWS cloud services, and Infrastructure as Code (IaC) tools like OpenTofu or Terraform (nice to have, but not mandatory). * Experience in the gaming industry, particularly in fantasy sports, with an understanding of the unique requirements, use cases, and challenges in this domain. * Proficiency in AWS services such as EC2, S3, Lambda, RDS (PostgreSQL), CloudWatch, etc. * Strong understanding of API design, real-time data streaming, and WebSockets for live sports updates. * Solid understanding of version control systems (e.g., Git) and best practices in branching strategies. Good to Have: * Hands-on experience with OpenTofu or other Infrastructure as Code tools like Terraform. * Experience with microservices architecture and distributed systems. * Familiarity with monitoring tools such as Prometheus, Grafana, or CloudWatch for performance monitoring and optimization.

Proven experience as a Data Engineer with a focus on Databricks. Strong proficiency in PySpark and Spark SQL. Deep understanding of the Data bricks ecosystem, Databricks SQL. Experience with ETL processes, and data warehousing concepts. Knowledge of data visualization tools and frameworks is a plus. Strong problem-solving skills and the ability to work independently. Excellent communication skills and ability to collaborate with cross-functional teams.

Roles & Responsibilities We are seeking an experienced Python API Developer to join our team. The successful candidate will have a strong background in developing and managing APIs using Python, with a particular focus on CRUD (Create, Read, Update, Delete) operations and containerization using Docker. You will play a critical role in designing, building, and maintaining scalable APIs that integrate seamlessly with our systems. Key Responsibilities: Design, develop, and maintain RESTful APIs using Python frameworks (e.g., Django, Flask, FastAPI) with a focus on efficient CRUD operations. Build and manage containerized applications using Docker to streamline development, testing, and deployment processes. Collaborate with front-end developers, backend developers, and other stakeholders to ensure smooth integration of APIs with various applications and services. Write clean, efficient, and well-documented code that adheres to best practices and coding standards. Implement and enforce API security protocols, including authentication, authorization, and data encryption. Troubleshoot and resolve API-related issues, optimize performance, and ensure the reliability of the services. Create and maintain detailed API documentation for internal and external use. Stay updated with industry trends, tools, and technologies to continuously improve development practices. Required Skills and Qualifications: Proven experience in developing APIs with Python, using frameworks such as Django, Flask, or FastAPI. Strong expertise in CRUD operations and database management (SQL and NoSQL). Extensive experience with Docker for containerization and application deployment. Proficiency in writing clean, maintainable, and efficient Python code. Familiarity with API management tools and platforms (e.g., Swagger, Postman). Knowledge of API security standards and protocols (e.g., OAuth, JWT). Strong problem-solving skills and the ability to work both independently and collaboratively within a team. Preferred Skills: Experience with additional API paradigms, such as GraphQL. Familiarity with container orchestration tools like Kubernetes. Knowledge of cloud services and platforms (e.g., AWS, Azure).

We are looking for a Flutter Developer with 2-4 years of experience in building high-performance, scalable, and user-friendly mobile applications. The ideal candidate should have hands-on experience in Flutter and Dart, and should be proficient in managing full mobile app development life cycle from design through deployment. If you are passionate about building intuitive cross-platform apps and want to be part of a fast-growing tech team, we d love to connect! Key Responsibilities: Design, build, and maintain mobile applications using Flutter Work on UI/UX design to deliver visually appealing and user-friendly applications Integrate RESTful APIs and third-party libraries into apps Write clean, maintainable, and scalable code following modern development practices Collaborate with product managers, designers, and backend engineers Maintain high performance and responsiveness of applications Troubleshoot, debug, and upgrade existing applications Participate in code reviews, unit testing, and performance tuning Must-Have Skills: 2-4 years of experience in mobile application development Strong experience with Flutter and Dart Experience with State Management techniques (e.g., Provider, Riverpod, Bloc) Proficient in integrating REST APIs and Firebase services Strong understanding of responsive UI design Familiarity with mobile app deployment to Play Store and App Store Knowledge of code versioning tools like Git Good to Have: Experience in native Android/iOS development Familiarity with CI/CD tools for mobile Understanding of App Security & Performance Optimization Prior work in Fintech or similar high-scale consumer apps Exposure to Agile/Scrum methodology Education: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field

We are seeking an experienced Python API Developer to join our team. The successful candidate will have a strong background in developing and managing APIs using Python, with a particular focus on CRUD (Create, Read, Update, Delete) operations and containerization using Docker. You will play a critical role in designing, building, and maintaining scalable APIs that integrate seamlessly with our systems. Key Responsibilities: Design, develop, and maintain RESTful APIs using Python frameworks (eg, Django, Flask, FastAPI) with a focus on efficient CRUD operations. Build and manage containerized applications using Docker to streamline development, testing, and deployment processes. Collaborate with front-end developers, backend developers, and other stakeholders to ensure smooth integration of APIs with various applications and services. Write clean, efficient, and we'll-documented code that adheres to best practices and coding standards. Implement and enforce API security protocols, including authentication, authorization, and data encryption. Troubleshoot and resolve API-related issues, optimize performance, and ensure the reliability of the services. Create and maintain detailed API documentation for internal and external use. Stay updated with industry trends, tools, and technologies to continuously improve development practices. Required Skills and Qualifications: Proven experience in developing APIs with Python, using frameworks such as Django, Flask, or FastAPI. Strong expertise in CRUD operations and database management (SQL and NoSQL). Extensive experience with Docker for containerization and application deployment. Proficiency in writing clean, maintainable, and efficient Python code. Familiarity with API management tools and platforms (eg, Swagger, Postman). Knowledge of API security standards and protocols (eg, OAuth, JWT). Strong problem-solving skills and the ability to work both independently and collaboratively within a team. Preferred Skills: Experience with additional API paradigms, such as GraphQL. Familiarity with container orchestration tools like Kubernetes. Knowledge of cloud services and platforms (eg, AWS, Azure). Experience with continuous integration and deployment (CI/CD) pipelines.

We are seeking a dynamic and strategic Marketing Analyst with a strong analytical foundation, experience with marketing tools, and exceptional stakeholder management capabilities. The ideal candidate will thrive in a fast-paced environment, confidently engage with C-level executives, and help shape marketing strategies that drive business growth. This role offers a high-visibility pathway to senior leadership and may eventually report directly to the CEO s office. Key Responsibilities: Leverage marketing tools and platforms (eg, HubSpot, Google Analytics, Marketo, Salesforce) to analyze campaign effectiveness and generate actionable insights. Translate complex data into compelling presentations and strategic recommendations for executive stakeholders. Collaborate cross-functionally with product, sales, and leadership teams to drive alignment on marketing objectives. Monitor industry trends, competitor activity, and customer insights to support strategic planning. Prepare and deliver presentations to C-level stakeholders with clarity, confidence, and precision. Support the CEO s office with high-impact marketing initiatives, reports, and performance dashboards. Key Qualifications: 3-5 years of experience in marketing analytics, marketing operations, or strategic marketing roles. Strong proficiency in marketing platforms and tools (eg, Google Analytics, HubSpot, Salesforce, Power BI, or similar). Demonstrated ability to derive insights from complex datasets and present findings to senior leadership. Exceptional communication and presentation skills both written and verbal. Experience engaging with senior executives or C-level stakeholders is highly desirable. Bachelors degree in Marketing, Business, Communications, or a related field. MBA or equivalent advanced degree is a plus. Preferred Attributes: High level of business acumen and a strategic mindset. Ability to work independently with minimal supervision. Comfortable working in a fast-paced, high-stakes environment. A team player who can influence across departments without formal authority.

We are looking for a detail-oriented and analytical Data Analyst with over 5 years of experience, preferably from a logistics, market research , or Bloomberg-related background . The ideal candidate will have a strong command of Excel and experience in data preparation, transformation, cleaning , and building actionable insights from large datasets. Key Responsibilities: Analyze large volumes of data to derive actionable insights for business improvement Work extensively in Excel including VLOOKUP, Pivot Tables, Advanced Formulas, and Dashboarding Prepare, clean, and transform data for reporting and decision-making purposes Collaborate with stakeholders to understand business requirements and present findings effectively Interpret data trends and patterns and translate them into clear, impactful recommendations Support ongoing and ad-hoc reporting and analysis needs Stay updated on industry trends and best practices in analytics and reporting Must-Have Skills: Expert-level Microsoft Excel skills (pivot tables, advanced formulas, data visualization, etc.) Proficient in data cleaning, preparation, and transformation techniques Hands-on experience with SQL (basic level minimum) Strong analytical skills with the ability to work independently on complex datasets Excellent communication skills for effective stakeholder interaction A learning mindset with the ability to adapt to new tools and techniques quickly Preferred Background: Experience in logistics, market research , or working with platforms like Bloomberg Exposure to analyzing large datasets and delivering actionable business insights

We are seeking an Experienced AI Developer with a minimum of 2 years of experience to join our team. The ideal candidate will be passionate about artificial intelligence and possess a strong background in developing cutting-edge AI solutions. Roles and Responsibilities: - Designing, implementing, and optimizing machine learning algorithms and models to solve complex problems. - Utilizing deep learning frameworks such as TensorFlow or PyTorch for model development. - Collaborating with cross-functional teams to integrate AI capabilities into products and services. - Conducting research to stay abreast of the latest advancements in AI and machine learning. - Testing and validating models to ensure accuracy and reliability. - Providing technical expertise and guidance on AI-related projects. - Contributing to the development of AI strategies and roadmaps. - Documenting code, algorithms, and methodologies for knowledge sharing and future reference. - Keeping up-to-date with industry trends and best practices in AI and machine learning. Required Skills: - Proficiency in machine learning algorithms and techniques - Experience with deep learning frameworks such as TensorFlow or PyTorch - Strong programming skills in languages such as Python, Java, or C++ - Understanding of data structures and algorithms - Knowledge of natural language processing (NLP) ,computer vision (CV) and Generative AI (Lang chains and LLMs) - Familiarity with cloud platforms and services (eg, AWS, Azure, GCP) - Ability to work independently and collaboratively in a team environment - Excellent problem-solving and analytical skills - Strong communication skills to convey complex concepts to non-technical stakeholders

As a Senior SQL Developer at Exponentia.ai, should have strong background in SQL development, ETL processes, and proficiency in the Microsoft BI stack, including SQL Server and Azure. Excellent communication and interpersonal skills are essential, as you will collaborate closely with cross-functional teams to deliver high-quality solutions. Job Responsibilities: Design, develop, and optimize complex SQL queries and stored procedures. Lead ETL processes to ensure seamless data integration and transformation. Collaborate with data analysts and business stakeholders to gather requirements and translate them into technical specifications. Implement and maintain data models and database structures for optimal performance. Monitor and troubleshoot database performance issues, ensuring high availability and reliability. Develop and maintain documentation related to data processes and architecture . Technical Skills: Minimum of 5 years of experience as an SQL Developer, with a focus on ETL processes. Strong expertise in Microsoft SQL Server and Azure SQL Database. Experience with data warehousing concepts and methodologies. Proficient in writing complex SQL queries, stored procedures, and performance tuning. Familiarity with BI tools and reporting services (eg, SSRS, Power BI) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Preferred - Knowledge of cloud data services and platforms (eg, Azure Data Factory, Azure Synapse Analytics) or Certification in Microsoft SQL Server or related technologies.

We are seeking an experienced Senior Data Architect to lead the design, development, and implementation of robust, scalable, and high-performance data architectures. The ideal candidate will have 10-15 years of experience in data management and architecture, with deep expertise in cloud platforms, data modeling, and data governance. You will work closely with engineering, analytics, and business teams to ensure our data infrastructure supports our business goals and delivers high-quality data solutions. Key Responsibilities: Design and implement enterprise-level data architecture solutions aligned with business goals and IT strategy. Lead the development of logical and physical data models across transactional and analytical systems. Define data architecture standards, best practices, and governance frameworks. Collaborate with data engineering, BI, application development, and product teams to design scalable data pipelines and integrations. Architect modern cloud data platforms (eg, AWS, Azure, GCP) and data lakes/warehouses (eg, Snowflake, Redshift, BigQuery). Define and maintain metadata, data lineage, and data quality standards. Evaluate and recommend new data technologies, tools, and platforms. Ensure compliance with data privacy regulations and internal security standards. Mentor junior architects and data engineers and participate in architectural reviews. Required Qualifications: bachelors or masters degree in Computer Science, Information Systems, or related field. 10-15 years of progressive experience in data architecture, data engineering, or database development. Proven experience designing data platforms in cloud environments (AWS, Azure, GCP). Deep understanding of relational and NoSQL databases (eg, SQL Server, PostgreSQL, MongoDB, Cassandra). Expertise in data modeling tools (eg, ER/Studio, Erwin, dbt). Hands-on experience with ETL/ELT tools and frameworks (eg, Apache Airflow, Talend, Informatica). Strong understanding of data governance, data quality, and data security principles. Excellent problem-solving skills, communication, and stakeholder management capabilities.

We are seeking a highly experienced Sr Data Modeler / Solution Architect to join the Data Architecture team at Titans Corporate Office in Bangalore . The ideal candidate will have 8 to 10 years of experience in data modeling and architecture with deep expertise in AWS cloud stack , data warehousing , and enterprise data modeling tools . This individual will be responsible for designing and creating enterprise-grade data models and driving the implementation of Layered Scalable Architecture or Medallion Architecture to support robust, scalable, and high-quality data marts across multiple business units. This role will involve managing complex datasets from systems like PoS, ERP, CRM, and external sources, while optimizing performance and cost. You will also provide strategic leadership on data modeling standards, governance, and best practices, ensuring the foundation for analytics and reporting is solid and future-ready. Key Responsibilities: Design and deliver conceptual, logical, and physical data models using tools like ERWin . Implement Layered Scalable Architecture / Medallion Architecture for building scalable, standardized data marts. Optimize performance and cost of AWS-based data infrastructure (Redshift, S3, Glue, Lambda, etc.). Collaborate with cross-functional teams (IT, business, analysts) to gather data requirements and ensure model alignment with KPIs and business logic. Develop and optimize SQL code, materialized views, stored procedures in AWS Redshift . Ensure data governance, lineage, and quality mechanisms are established across systems. Lead and mentor technical teams in an Agile project delivery model. Manage data layer creation and documentation: data dictionary, ER diagrams, purpose mapping. Identify data gaps and availability issues with respect to source systems. Required Skills & Qualifications: Bachelor s or Master s degree in Computer Science, IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA) . Minimum 8 years of experience in data modeling and architecture. Proficiency with data modeling tools such as ERWin , with strong knowledge of forward and reverse engineering . Deep expertise in SQL (including advanced SQL, stored procedures, performance tuning). Strong experience in data warehousing , RDBMS , and ETL tools like AWS Glue , IBM DataStage , or SAP Data Services . Hands-on experience with AWS services : Redshift, S3, Glue, RDS, Lambda, Bedrock, and Q. Good understanding of reporting tools such as Tableau , Power BI , or AWS QuickSight . Exposure to DevOps/CI-CD pipelines , AI/ML , Gen AI , NLP , and polyglot programming is a plus. Familiarity with data governance tools (e.g., ORION/EIIG). Domain knowledge in Retail , Manufacturing , HR , or Finance preferred. Excellent written and verbal communication skills. Certifications (Preferred): AWS Certification (e.g., AWS Certified Solutions Architect or Data Analytics - Specialty ) Data Governance or Data Modeling Certifications (e.g., CDMP , Databricks , or TOGAF )

We are seeking a skilled and results-driven Business Analyst with over 4 years of professional experience to join our team. The ideal candidate will be responsible for analyzing business processes, identifying improvement opportunities, gathering and documenting requirements, and acting as a bridge between stakeholders and technical teams to deliver high-quality solutions. Key Responsibilities: Lead end-to-end business analysis lifecycle including requirement elicitation , documentation, and stakeholder communication. Collaborate with cross-functional teams including product managers, developers, and data engineers to deliver customer-centric solutions. Create and maintain BRDs, FRDs, user stories , and maintain requirements traceability using tools like JIRA and Confluence . Facilitate Agile ceremonies (standups, sprint planning, retrospectives) and ensure continuous delivery through sprint tracking. Conduct gap analysis , UAT planning, and create detailed test scenarios for validating business requirements. Use tools like Qlik, Power BI , Tableau , and Python for business insights, and generate dashboards/reports to drive data-informed decisions. Design and visualize workflows using Visio, Draw.io , and Figma , and maintain architecture documentation for ETL/data pipelines . Partner with stakeholders across geographies to streamline operations and optimize processes in areas such as credit risk , capital markets , and retail warehousing etc Ensure compliance with SLAs and maintain high-quality standards through proactive monitoring and reporting. Key Skills & Tools: Bachelor s degree in Business Administration, Information Systems, Computer Science, or a related field. Minimum of 4 years of experience in a Business Analyst role. Strong understanding of SDLC, Agile, and Waterfall methodologies. Proficient in tools like JIRA, Confluence, Microsoft Visio, Excel, and SQL. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple stakeholders and prioritize tasks effectively. Strong attention to detail and documentation skills.

Overview: We are seeking a highly skilled and experienced Power BI Developer to join our dynamic team. The ideal candidate will have 5-7 years of hands-on experience in developing and implementing data analytics and business intelligence solutions using Power BI. This role involves working closely with business stakeholders, data engineers, and IT teams to deliver impactful insights and reports that drive business decisions. Key Resonsibilities: Report and Dashboard Development: Design, develop, and maintain interactive Power BI dashboards and reports, ensuring the quality and integrity of data visualizations. Data Modeling: Build and maintain complex data models, including transforming, cleaning, and structuring data from multiple sources to create user-friendly reports. DAX & Power Query Expertise: Develop advanced DAX measures and formulas to enhance the functionality of Power BI reports. Utilize Power Query for data transformation and manipulation. Performance Optimization: Ensure Power BI reports and dashboards are optimized for performance, ensuring quick data load and processing times. Stakeholder Collaboration: Work closely with business users and other teams (data engineering, data science, etc.) to understand business requirements and translate them into technical solutions. Data Integration: Integrate data from various sources (SQL Server, Excel, APIs, etc.) into Power BI for comprehensive analysis. Data Governance & Security: Implement row-level security (RLS) in Power BI reports to ensure data privacy and governance. Documentation & Training: Create and maintain documentation on report and dashboard functionality, and provide training to users on how to interact with reports and dashboards. Troubleshooting: Troubleshoot and resolve issues with Power BI reports, including data inconsistencies, performance problems, and system errors Skill & Qualification: Experience: 5-7 years of hands-on experience in Power BI development, with a strong portfolio of reports and dashboards. Power BI Expertise: Proficient in Power BI Desktop, Power BI Service, and Power BI Report Server. DAX and Power Query: Advanced knowledge of DAX (Data Analysis Expressions) and Power Query M language. Data Visualization: Strong understanding of data visualization best practices and ability to create effective and engaging dashboards. Data Modeling: Experience in designing and implementing complex data models for reporting and analysis. SQL: Strong SQL skills, with the ability to write complex queries for data extraction and manipulation. ETL Process: Knowledge of ETL processes and data integration from multiple sources (SQL Server, Excel, APIs, etc.). BI Tools Knowledge: Familiarity with other BI tools (Tableau, Qlik, etc.) is a plus. Data Warehousing: Knowledge of data warehousing concepts, star/snowflake schema, and dimensional modeling is preferred. Problem Solving: Strong analytical and troubleshooting skills to identify and resolve issues with data and reporting. Communication Skills: Excellent verbal and written communication skills to work with business users and technical teams.

We are seeking a skilled Data Engineer with relevant experience in building, managing, and monitoring Data Marts and Data Pipelines. The ideal candidate will have a strong proficiency in SQL, Python, Pyspark, and database operations in PostgreSQL. Experience with AWS services such as AWS Glue, AWS SageMaker, AWS S3, and SNS is essential. The candidate will be responsible for querying the Enterprise Data Warehouse (EDW) and extracting data for analysis and model training. Key Responsibilities: Design, build, and maintain Data Marts and Data Pipelines. Independently manage and monitor data workflows to ensure optimal performance. Query the EDW and extract relevant data for analysis and model training. Write highly optimized SQL queries to enhance data retrieval efficiency. Utilize Python and Pyspark for data processing and analysis. Perform database operations in PostgreSQL. Proficiently use MS Excel for data manipulation and analysis. Good to Have Skills: Experience in dashboarding and visualization on H2O Wave app. Conduct quick analyses to identify high-risk agents, pin codes, products, partners, etc., and analyze data distributions. Perform deduplication operations using fuzzy logic or regular expressions. Automate tasks using Python to improve efficiency and accuracy. Qualifications: Bachelor s degree in Computer Science, Data Science, or a related field. years of relevant work experience as a Data Engineer. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.