We are looking for an experienced Data Scientist with a specialization in forecasting to join our data science team. The ideal candidate will have a deep understanding of statistical and machine learning techniques for time series forecasting and demand prediction. In this role, you will drive business value by developing accurate forecasting models and delivering actionable insights to optimize decision-making processes across the organization. Key Responsibilities: Develop and implement advanced time series forecasting models to predict key business metrics (e.g., sales, demand, inventory, etc.). Analyze historical data to identify trends, seasonality, and other patterns that can be leveraged for accurate forecasting. Collaborate closely with clients cross-functional teams such as Supply Chain, Finance, and Marketing to understand business needs and deliver tailored forecasting solutions. Build and optimize machine learning models for forecasting using state-of-the-art techniques (e.g., ARIMA, Prophet, LSTM, etc.). Design and run experiments to validate forecasting models and continuously improve their accuracy and reliability. Communicate complex data-driven insights and forecasting results to both technical and non-technical stakeholders. Ensure high-quality data inputs for forecasting models by working with data engineering teams to improve data collection, transformation, and integration processes. Stay current with the latest advancements in forecasting methodologies, tools, and techniques, and apply them to enhance existing models. Provide thought leadership in forecasting and predictive analytics, driving innovation within the data science team. Mentor junior team members and help establish best practices for forecasting across the organization. Qualifications Master’s or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field. 4+ years of experience in developing and deploying forecasting models in a business environment. Expertise in time series analysis and forecasting techniques, including ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods like gradient boosting, neural networks (e.g., LSTM, GRU), etc. Proficiency in programming languages such as Python or R, with strong experience in data manipulation, model building, and statistical analysis. Hands-on experience with forecasting tools and libraries, such as Prophet, scikit-learn, TensorFlow, PyTorch, etc. Strong understanding of data structures, data wrangling, and working with large datasets. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and working in a distributed data environment is a plus. Excellent problem-solving skills and ability to translate complex data into actionable insights. Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Experience with visualization tools like Tableau, Power BI, or similar to present forecasting outcomes. Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications: Experience with demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or finance. Familiarity with statistical testing and experimentation (e.g., A/B testing). Experience deploying models in production environments and collaborating with engineering teams to build scalable solutions. Previous experience in a consulting or client-facing role is a plus.

What is Blend Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Role? We are seeking a highly skilled Lead Data Engineer to join our data engineering team for an on-premise environment. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. The ideal candidate will have extensive experience in building and optimizing data pipelines, architectures, and data sets, with a strong focus on Python, SQL, Hadoop, HDFS, and Apache NiFi. What youll be doing? Design, develop, and maintain robust, scalable, and high-performance data pipelines and data integration solutions. Manage and optimize data storage in Hadoop Distributed File System (HDFS). Design and implement data workflows using Apache NiFi for data ingestion, transformation, and distribution. Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions. Ensure data quality, governance, and security standards are met within the on-premise infrastructure. Monitor and troubleshoot data pipelines to ensure optimal performance and reliability. Automate data workflows and processes to enhance system efficiency. What do we need from you? Bachelor’s degree in computer science, Software Engineering, or a related field 6+ years of experience in data engineering or a related field Strong programming skills in Python and SQL. Hands-on experience with Hadoop ecosystem (HDFS, Hive, etc.). Proficiency in Apache NiFi for data ingestion and flow orchestration. Experience in data modeling, ETL development, and data warehousing concepts. Strong problem-solving skills and ability to work independently in a fast-paced environment. Good understanding of data governance, data security, and best practices in on-premise environments. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications .

What is Blend Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Rol e? We are seeking a highly skill ed Lead DevOps Engin eer to join our team and drive the end-to-end deployment, scalability, and operationalization of machine learning models in production. You will collaborate closely with data scientists, data engineers, and DevOps teams to ensure seamless CI/CD, reproducibility, monitoring, and governance of ML pipelines What youll be doing? Design, implement, and maintain CI/CD pipelines for deploying and monitoring microservices efficiently. Manage infrastructure as code using Terraform for repeatable and scalable provisioning. Deploy and optimize containerized applications using Docker and Azure services (Container Apps, Container Registry, Key Vault, Service Bus, Blob Storage). Apply best practices for securing Docker images, including vulnerability scanning, reducing image size, and optimizing build efficiency. Implement and maintain Azure Monitor for logging, monitoring, and alerting to ensure system reliability. Ensure security best practices across cloud environments, including secrets management, access control, and compliance. (Nice to have) Design and manage multi-client architectures within shared pipelines and storage accounts in Azure Blob Storage What do we need from you? 6+ years of experience in DevOps or MLOps with a strong focus on production-grade ML solutions. Strong expertise in Azure, particularly with CI/CD, container orchestration, and cloud security. Proficiency in Terraform for infrastructure automation. Deep understanding of Docker, including best practices for securing, optimizing, and managing images. Experience with Azure Monitor for centralized logging, monitoring, and alerting. Strong knowledge of microservices architecture and best practices for scalable deployments. Experience in security best practices, including secrets management and role-based access. . What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications .

What is Blend Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Role As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! What youll be doing? Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results What do we need from you? 6+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience executing projects end to end. At least one data engineering project should have worked in Azure Synapse, ADF or Azure Fabric Should be experienced in handling multiple data sources Technical expertise with data models, data mining, and segmentation techniques Deep understanding, both conceptually and in practice of at least one object orientated library (Python, pySpark) Strong SQL skills and a good understanding of existing SQL warehouses and relational databases. Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks. Build large-scale batches and real-time data pipelines. Ability to work independently and mentor junior resources. Desire to lead and develop a team of Data Engineers across multiple levels Experience or knowledge in Data Governance Azure Cloud experience with Data modeling, CI\CD, Agile Methodologies, Docker\Kubernetes What do you get in return? Competitive Salary : Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the fut ur e. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your ski lls. Snack Zone : Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flow i ng. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward prog r am. Fuel Your Growth Journey with Certifications : Were all about your growth groove! Level up your skills with our support as we cover the cost of your certificat i ons.

What is Blend Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Role? We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Spark, and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. Youll work closely with cross-functional teams to drive data reliability, quality, and performance. What you’ll be doing? Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Develop distributed data processing solutions using Apache Spark or PySpark. Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. Ensure data quality, governance, security, and compliance across pipelines and data stores. Monitor, troubleshoot, and improve the performance of data systems and pipelines. Participate in code reviews and help establish engineering best practices. Mentor junior data engineers and support their technical development. What do we need from you? Bachelor's or master's degree in computer science, Engineering, or a related field. 5+ years of hands-on experience in data engineering, with at least 2 years working with AWS Databricks. Strong programming skills in Python for data processing and automation. Advanced proficiency in SQL for querying and transforming large datasets. Deep experience with Apache Spark/PySpark in a distributed computing environment. Solid understanding of data modelling, warehousing, and performance optimization techniques. Proficiency with AWS services such as Glue, S3, Lambda and EMR. Experience with version control Git or Code commit Experience in any workflow orchestration like Airflow, AWS Step funtions is a plus What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications .

Role & responsibilities We are seeking a highly skilled Lead Python Developer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background, proven leadership in technical teams, and expertise in building scalable, resilient, and secure applications. Preferred candidate profile Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies like Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Establish and manage CI/CD pipelines for seamless application deployment. Implement best practices for API design, development, and security. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Required Qualifications & Skills: Proven experience in leading technical teams and developing applications using microservice architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and automation tools. Knowledge of API design and implementation best practices. Experience working with monitoring and logging tools (e.g., Prometheus, Grafana). Strong understanding of security best practices in microservices-based applications. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Ide a Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future Growt h Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snac k Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program . Fuel Your Growth Journey with Certific a tions: Were all about your growth groove! Level up your skills with our support as we cover the cost of your certifi c ations.

What is Blend Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Rol e? We are seeking a highly skill ed Lead DevOps Engin eer to join our team and drive the end-to-end deployment, scalability, and operationalization of machine learning models in production. You will collaborate closely with data scientists, data engineers, and DevOps teams to ensure seamless CI/CD, reproducibility, monitoring, and governance of ML pipelines What youll be doing? Design, implement, and maintain CI/CD pipelines for deploying and monitoring microservices efficiently. Manage infrastructure as code using Terraform for repeatable and scalable provisioning. Deploy and optimize containerized applications using Docker and Azure services (Container Apps, Container Registry, Key Vault, Service Bus, Blob Storage). Apply best practices for securing Docker images, including vulnerability scanning, reducing image size, and optimizing build efficiency. Implement and maintain Azure Monitor for logging, monitoring, and alerting to ensure system reliability. Ensure security best practices across cloud environments, including secrets management, access control, and compliance. (Nice to have) Design and manage multi-client architectures within shared pipelines and storage accounts in Azure Blob Storage What do we need from you? 6+ years of experience in DevOps or MLOps with a strong focus on production-grade ML solutions. Strong expertise in Azure, particularly with CI/CD, container orchestration, and cloud security. Proficiency in Terraform for infrastructure automation. Deep understanding of Docker, including best practices for securing, optimizing, and managing images. Experience with Azure Monitor for centralized logging, monitoring, and alerting. Strong knowledge of microservices architecture and best practices for scalable deployments. Experience in security best practices, including secrets management and role-based access. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications .

What is Blend Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Role? We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Spark, and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. Youll work closely with cross-functional teams to drive data reliability, quality, and performance. What youll be doing? Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Develop distributed data processing solutions using Apache Spark or PySpark. Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. Ensure data quality, governance, security, and compliance across pipelines and data stores. Monitor, troubleshoot, and improve the performance of data systems and pipelines. Participate in code reviews and help establish engineering best practices. Mentor junior data engineers and support their technical development. What do we need from you? Bachelor's or master's degree in computer science, Engineering, or a related field. 5+ years of hands-on experience in data engineering, with at least 2 years working with AWS Databricks. Strong programming skills in Python for data processing and automation. Advanced proficiency in SQL for querying and transforming large datasets. Deep experience with Apache Spark/PySpark in a distributed computing environment. Solid understanding of data modelling, warehousing, and performance optimization techniques. Proficiency with AWS services such as Glue, S3, Lambda and EMR. Experience with version control Git or Code commit Experience in any workflow orchestration like Airflow, AWS Step functions is a plus What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications .

As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience

We are seeking a QA Engineer to join our team and help us ensure the delivery of high-quality ETL, data-driven solutions and services. The QA Engineer will be responsible for designing and executing test plans, test cases, and test scripts, identifying and documenting defects, and collaborating with cross-functional teams to ensure that our solutions meet or exceed our clients expectations. The ideal candidate should have a strong understanding of QA methodologies, tools, and processes, and a passion for quality assurance in data-driven environments. Responsibilities: Design and execute test plans, test cases, and test scripts to validate software functionality and performance Identify and document defects and work with the development team to resolve them Collaborate with cross-functional teams to identify and mitigate quality risks throughout the development lifecycle Participate in quality assurance reviews and audits Stay current with emerging trends, technologies, and best practices in QA Bachelors or Masters degree in Computer Science, Software Engineering, or a related field 4 years of experience in testing ETL, Data Pipelines and Data driven solutions Should have expertise in Python and SQL

We are looking for an experienced Data Scientist with a specialization in forecasting to join our data science team. The ideal candidate will have a deep understanding of statistical and machine learning techniques for time series forecasting and demand prediction. In this role, you will drive business value by developing accurate forecasting models and delivering actionable insights to optimize decision-making processes across the organization. Key Responsibilities: Develop and implement advanced time series forecasting models to predict key business metrics (e.g., sales, demand, inventory, etc.). Analyze historical data to identify trends, seasonality, and other patterns that can be leveraged for accurate forecasting. Collaborate closely with client s cross-functional teams such as Supply Chain, Finance, and Marketing to understand business needs and deliver tailored forecasting solutions. Build and optimize machine learning models for forecasting using state-of-the-art techniques (e.g., ARIMA, Prophet, LSTM, etc.). Design and run experiments to validate forecasting models and continuously improve their accuracy and reliability. Communicate complex data-driven insights and forecasting results to both technical and non-technical stakeholders. Ensure high-quality data inputs for forecasting models by working with data engineering teams to improve data collection, transformation, and integration processes. Stay current with the latest advancements in forecasting methodologies, tools, and techniques, and apply them to enhance existing models. Provide thought leadership in forecasting and predictive analytics, driving innovation within the data science team. Mentor junior team members and help establish best practices for forecasting across the organization. Master s or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field. 4+ years of experience in developing and deploying forecasting models in a business environment. Expertise in time series analysis and forecasting techniques, including ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods like gradient boosting, neural networks (e.g., LSTM, GRU), etc. Proficiency in programming languages such as Python or R, with strong experience in data manipulation, model building, and statistical analysis. Hands-on experience with forecasting tools and libraries, such as Prophet, scikit-learn, TensorFlow, PyTorch, etc. Strong understanding of data structures, data wrangling, and working with large datasets. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and working in a distributed data environment is a plus. Excellent problem-solving skills and ability to translate complex data into actionable insights. Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Experience with visualization tools like Tableau, Power BI, or similar to present forecasting outcomes. Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications: Experience with demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or finance. Familiarity with statistical testing and experimentation (e.g., A/B testing). Experience deploying models in production environments and collaborating with engineering teams to build scalable solutions. Previous experience in a consulting or client-facing role is a plus.

Location : Hyderabad Role Highlights: As a Manager - Data Science , you wont just manage, youll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. Youll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board! What Youll Tackle Each Day: Delivery & Project Management: Develop and implement ML models, Gen AI solutions, and predictive analytics . Perform data mining, feature engineering, and statistical analysis . Own project roadmaps, quality control, and timely delivery . Collaborate with Data Engineering teams to deploy and operationalize ML models . Automate and optimize workflows for efficiency. Practice Development: Contribute to scaling Blends Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership. Evaluate emerging AI trends and tools and integrate them into our ecosystem. Lead innovation initiatives , research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team . Guide career development and set performance benchmarks. Collaborate with cross-functional teams to drive seamless execution. 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leve

As a Lead Power BI Developer , you ll turn raw data into stunning visual stories that spark action and drive decisions. Collaborate with clients, create jaw-dropping dashboards , and lead end-to-end BI projects that deliver real business value. If you re passionate about transforming insights into impact, and thrive in a fast-paced, consulting-style environment we want you on our team! We re looking for someone with deep expertise in BI, SQL, and a strong knack for working across teams including Data Engineers , Business Analysts , and business stakeholders to turn complex data into clarity. What You ll Tackle Each Day : End-to-End BI Implementation : Lead BI projects from requirement gathering to dashboard delivery, including data modelling, deployment, and user training. Power BI Development : Build dynamic, high-performance Power BI dashboards using advanced DAX, Power Query (M), RLS, drill-throughs, bookmarks, and custom visuals. SQL & Data Transformation : Write efficient SQL for data extraction, transformation, and analysis across platforms like Azure SQL, Snowflake, or Databricks. PySpark experience is added advantage. Client & Business Collaboration : Work closely with stakeholders to define KPIs, translate business needs into actionable insights, and deliver impactful analytics. Cross-Tool BI Integration : Integrate Power BI with tools like, Excel, Power Automate, and SharePoint; assist in dashboard migration and embedded analytics. Knowledge exposure to Other BI tools: Experience with other BI tools such Tableau or Qlik Sense will be added advantage. Data Engineering Collaboration : Collaborate with Data Engineers to align with data pipelines, validate source-to-report logic, and ensure data accuracy across layers 7 to 9 Years of hands-on BI experience, with a strong focus on Power BI, SQL, and DAX, delivering impactful analytics solutions across diverse business domains. A strong understanding of data visualization best practice

As a Power BI Developer , you ll turn raw data into stunning visual stories that spark action and drive decisions. Collaborate with clients, create jaw-dropping dashboards , and lead end-to-end BI projects that deliver real business value. If you re passionate about transforming insights into impact, and thrive in a fast-paced, consulting-style environment we want you on our team! We re looking for someone with deep expertise in BI, SQL, and a strong knack for working across teams including Data Engineers , Business Analysts , and business stakeholders to turn complex data into clarity. What You ll Tackle Each Day : End-to-End BI Implementation : Lead BI projects from requirement gathering to dashboard delivery, including data modelling, deployment, and user training. Power BI Development : Build dynamic, high-performance Power BI dashboards using advanced DAX, Power Query (M), RLS, drill-throughs, bookmarks, and custom visuals. SQL & Data Transformation : Write efficient SQL for data extraction, transformation, and analysis across platforms like Azure SQL, Snowflake, or Databricks. PySpark experience is added advantage. Client & Business Collaboration : Work closely with stakeholders to define KPIs, translate business needs into actionable insights, and deliver impactful analytics. Cross-Tool BI Integration : Integrate Power BI with tools like, Excel, Power Automate, and SharePoint; assist in dashboard migration and embedded analytics. Knowledge exposure to Other BI tools: Experience with other BI tools such Tableau or Qlik Sense will be added advantage. Data Engineering Collaboration : Collaborate with Data Engineers to align with data pipelines, validate source-to-report logic, and ensure data accuracy across layers 4+ Years of hands-on BI experience, with a strong focus on Power BI, SQL, and DAX, delivering impactful analytics solutions across diverse business domains. A strong understanding of data visualization best practices an

We are seeking a highly skilled Lead Data Engineer to join our data engineering team for an on-premise environment. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. The ideal candidate will have extensive experience in building and optimizing data pipelines, architectures, and data sets, with a strong focus on Python, SQL, Hadoop, HDFS, and Apache NiFi. What you ll be doing? Design, develop, and maintain robust, scalable, and high-performance data pipelines and data integration solutions. Manage and optimize data storage in Hadoop Distributed File System (HDFS). Design and implement data workflows using Apache NiFi for data ingestion, transformation, and distribution. Collaborate with cross-functional teams to understand data requirements and deliver efficient solutions. Ensure data quality, governance, and security standards are met within the on-premise infrastructure. Monitor and troubleshoot data pipelines to ensure optimal performance and reliability. Automate data workflows and processes to enhance system efficiency. Bachelor s degree in computer science, Software Engineering, or a related field 6+ years of experience in data engineering or a related field Strong programming skills in Python and SQL. Hands-on experience with Hadoop ecosystem (HDFS, Hive, etc.). Proficiency in Apache NiFi for data ingestion and flow orchestration. Experience in data modeling, ETL development, and data warehousing concepts. Strong problem-solving skills and ability to work independently in a fast-paced environment. Good understanding of data governance, data security, and best practices in on-premise environments. Good to Have: Experience with other big data tools like Spark, Kafka, etc.

Blend is hiring a Senior Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows . Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters , leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Bachelor s/Master s in Computer Science, Artificial Intelligence, or related field. 5+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Deep experience with Databri

Job Description As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience executing projects end to end. At least one data engineering project should have worked in Azure Synapse, ADF or Azure Fabric Should be experienced in handling multiple data sources Technical expertise with data models, data mining, and segmentation techniques Deep understanding, both conceptually and in practice of at least one object orientated library (Python, pySpark) Strong SQL skills and a good understanding of existing SQL warehouses and relational databases. Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks. Build large-scale batches and real-time data pipelines. Ability to work independently and mentor junior resources. Desire to lead and develop a team of Data Engineers across multiple levels Experience or knowledge in Should have experience or knowledge in Data Governance Azure Cloud experience with Data modeling, CI\CD, Agile Methodologies, Docker\Kubernetes

As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience executing projects end to end. At least one data engineering project should have worked in Azure Synapse, ADF or Azure Fabric Should be experienced in handling multiple data sources Technical expertise with data models, data mining, and segmentation techniques Deep understanding, both conceptually and in practice of at least one object orientated library (Python, pySpark) Strong SQL skills and a good understanding of existing SQL warehouses and relational databases. Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks. Build large-scale batches and real-time data pipelines. Ability to work independently and mentor junior resources. Desire to lead and develop a team of Data Engineers across multiple levels Experience or knowledge in Should have experience or knowledge in Data Governance Azure Cloud experience with Data modeling, CI\CD, Agile Methodologies, Docker\Kubernetes

As a BI Developer, you ll turn raw data into stunning visual stories that drive decisions. Collaborate with clients, create jaw-dropping dashboards, and lead end-to-end BI projects. If you love transforming insights into action and thrive in a vibrant consulting environment, we want you on our team! What You ll Tackle Each Day : End-to-End BI Implementation: Develop and manage the full BI lifecycle from data modelling and report building to delivery and post-implementation support. Tableau Development: Design, Develop, and maintain interactive and visually compelling dashboards and reports in Tableau. SQL Expertise: Write efficient SQL queries for data extraction, transformation, and analysis. PySpark experience is added advantage. Ability to independently manage end-to-end dashboard development projects with minimal supervision, taking full ownership of design, data integration, and deployment activities. Business Knowledge: Collaborate with clients to understand their business needs and provide actionable insights through BI solutions. Cross-Tool Integration: Experience with other BI tools such as Power BI or Qlik Sense. 3 to 6 years of experience in Business Intelligence, focusing on Tableau development and SQL, you consistently deliver impactful BI solutions. A strong understanding of data visualization best practices and BI architecture ensures that your dashboards and reports are both visually compelling and highly functional. Exited to work on Gen AI innovations apart from the day-to-day project work Experience in implementing BI solutions for complex business scenarios, you solve real-world challenges through data-driven insights. Standing out from the crowd with your unique expertise and problem-solving abilities, you contribute as a key team member. Known as a go-getter , you approach every project with enthusiasm and drive, ensuring high-quality and timely delivery, even in fast-paced environments. As a mentor and collaborator , you pave the way for others, contributing to a positive, innovative team dynamic. Your innovative mindset helps you find creative ways to leverage data, consistently turning insights into actionable strategies. Not just a hard worker but a fun one , you help foster an enjoyable work environment where collaboration and innovation thrive, making the journey as rewarding as the outcome.

Job Description As a BI Developer, you ll turn raw data into stunning visual stories that drive decisions. Collaborate with clients, create jaw-dropping dashboards, and lead end-to-end BI projects. If you love transforming insights into action and thrive in a vibrant consulting environment, we want you on our team! What You ll Tackle Each Day : End-to-End BI Implementation: Develop and manage the full BI lifecycle from data modelling and report building to delivery and post-implementation support. Tableau Development: Design, Develop, and maintain interactive and visually compelling dashboards and reports in Tableau. SQL Expertise: Write efficient SQL queries for data extraction, transformation, and analysis. PySpark experience is added advantage. Ability to independently manage end-to-end dashboard development projects with minimal supervision, taking full ownership of design, data integration, and deployment activities. Business Knowledge: Collaborate with clients to understand their business needs and provide actionable insights through BI solutions. Cross-Tool Integration: Experience with other BI tools such as Power BI or Qlik Sense. Qualifications 3 to 6 years of experience in Business Intelligence, focusing on Tableau development and SQL, you consistently deliver impactful BI solutions. A strong understanding of d