Job Description 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. You ll work closely with cross-functional teams to drive data reliability, quality, and performance. Responsibilities: 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. Qualifications Requirements Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of hands-on experience in data engineering

Job Description 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 Qualifications 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 experti

Job Description 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 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 fiel

Job Description 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 Qualifications 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 visualiz

Job Description 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 Qualifications 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 visualizatio

Job Description You will be a part of our Data Engineering team and will be focused on delivering exceptional results for our clients. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. You ll work with the team to deliver, migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies including AWS, Azure, GCP, Spark, Hadoop, etc. What you ll be doing Develop data pipelines to move and transform data from various sources to data warehouses Ensure the quality, reliability, and scalability of the organizations data infrastructure Optimize data processing and storage for performance and cost-effectiveness Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and develop solutions to meet their needs Continuously monitor and troubleshoot data pipelines to ensure their reliability and availability Stay up to date with the latest trends and technologies in data engineering and apply them to improve our data capabilities Qualifications Bachelor s degree in computer science, Software Engineering, or a related field 5+ years of experience in data engineering or a related field Strong programming skills in Python or Scala or Java

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 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 We are seeking a highly skilled Senior Python Engineer 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. Key Responsibilities: 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. Qualifications 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. Nice to Have: Experience with Retriever models, including implementation of chunking strategies. Familiarity with vector databases and their use cases. Understanding of optimal approaches in querying LLM models via API. Experience with prompt engineering and different strategies for effective interactions with LLMs. Exposure to various prompt engineering techniques in different scenarios

Job Description 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. Qualifications 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. Dee

Job Description At Blend360, we help people use data to serve the customer. The Customer Insights team works directly with some of the world s most loved consumer brands, and as an analyst you will lead our clients and prospects as an expert in using, understanding, and acting on customer data. You ll call on your business knowledge and deep technical expertise to unlock powerful insights from a wide range of industries. And you ll accelerate speed to value by creating the framework to scale your most impactful analyses with our internal teams and external users. What you ll be doing? Develop customer-centric analyses and solve challenging problems from a variety of consumer verticals. Consult with leaders from major consumer brands to identify trends, opportunities, and valuable segments that help them drive and measure incremental growth. Support GTM team s selling motion with your deep analytics expertise, generating insights that showcase the value from Customer Data Platforms (such as Amperity, Segment, Redpoint, etc.) Build scalable methodology and tools to accelerate the analytics motion. Collaborate with different Departments for data requests & build solutions that automate daily tasks thereby saving man hours. Build data pipelines for data extraction, cleaning, transforming, feature extraction, and machine learning Build KPIs/metrics by applying data transformation techniques such as aggregation, resampling, filtering etc. Comprehension of reports, visualization of data in the form of plots, generate reports using BI tools, develop live updating dashboards. Qualifications Minimum 3 years experience in a consulting, business analytics, or data science role, preferably working with customer behaviour data for a direct-to-consumer business