Build the infrastructure behind the world's most ambitious businesses.

About the Role

We are seeking a BI Developer to design, develop, and maintain business intelligence solutions that transform complex data into intuitive, interactive dashboards and reports. You will work with stakeholders to understand analytical needs and deliver self-service BI capabilities that empower data-driven decision-making across the organization.

Key Responsibilities

• Design, develop, and maintain interactive dashboards and reports using Tableau, Power BI, or Looker.
• Build and optimize semantic/data models to support efficient reporting and self-service analytics.
• Write optimized SQL queries and develop data transformations for BI consumption.
• Collaborate with business stakeholders to gather requirements and translate them into BI solutions.
• Implement row-level security, data access controls, and governance within BI platforms.
• Develop and maintain a library of reusable BI components, templates, and design standards.
• Optimize dashboard performance through query tuning, data aggregation, and caching strategies.
• Integrate BI tools with cloud data platforms (Snowflake, Databricks, Redshift, BigQuery).
• Provide training and support to end-users on BI tools and self-service analytics.
• Leverage AI capabilities including Claude for automated insight generation and natural language reporting.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Business Analytics, or a related field.
• 2+ years of experience in BI development, data visualization, or analytics engineering.
• Expert-level proficiency in at least one BI platform: Tableau, Power BI, or Looker.
• Strong SQL skills with experience in query optimization and data modeling for BI.
• Experience with cloud data warehouses: Snowflake, Databricks SQL, Redshift, or BigQuery.
• Understanding of dimensional modeling, star/snowflake schemas, and OLAP concepts.
• Experience building data models using DAX (Power BI), LOD expressions (Tableau), or LookML (Looker).
• Strong communication skills with ability to translate business requirements into technical solutions.

Preferred Qualifications

• Experience with multiple BI platforms (Tableau + Power BI, or Looker + Tableau).
• Knowledge of Python or R for advanced analytics and data preparation.
• Familiarity with dbt for data transformation and modeling.
• Experience with cloud platforms: AWS, Azure, GCP for end-to-end BI architecture.
• Knowledge of embedded analytics and BI integration via APIs.
• Experience leveraging AI/ML tools including Claude for automated reporting and insight generation.
• Tableau, Power BI, or Looker certifications.

About the Role

We are seeking a Business Analyst to bridge the gap between business needs and technology solutions. You will work with clients and internal teams to gather requirements, analyze business processes, and deliver data-driven recommendations that improve operational efficiency and drive strategic outcomes.

Key Responsibilities

• Gather, document, and analyze business requirements from stakeholders through interviews, workshops, and
• research.
• Translate business needs into functional specifications, user stories, and process flows.
• Conduct business process analysis and identify opportunities for optimization and automation.
• Develop business cases, feasibility studies, and ROI analyses for proposed solutions.
• Create and present data-driven reports, dashboards, and visualizations to stakeholders.
• Collaborate with data engineering and analytics teams to define data requirements and KPIs.
• Facilitate communication between business stakeholders and technical teams.
• Support UAT (User Acceptance Testing) and ensure delivered solutions meet business requirements.
• Leverage AI tools including Claude for requirements analysis, document summarization, and insight generation.
• Monitor project progress and provide regular status updates to stakeholders.

Required Qualifications

• Bachelor's or Master's degree in Business Administration, Information Systems, Economics, or a related field.
• 2+ years of experience as a Business Analyst or in a similar analytical/consulting role.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency in SQL for data querying and analysis.
• Experience with BI/visualization tools (Tableau, Power BI, Looker).
• Excellent communication, presentation, and stakeholder management skills.
• Familiarity with Agile/Scrum methodologies and project management tools (Jira, Confluence).
• Strong documentation skills: BRDs, FRDs, user stories, and process mapping.

Preferred Qualifications

• Experience with cloud data platforms (AWS, Azure, GCP, Snowflake, Databricks).
• Knowledge of data analytics, statistical methods, and data modeling concepts.
• Familiarity with AI/ML concepts and leveraging tools like Claude for business analysis tasks.
• Domain expertise in financial services, healthcare, retail, or supply chain.
• CBAP, PMI-PBA, or similar business analysis certifications.
• Experience in analytics consulting or client-facing engagements.

About the Role

We are seeking a detail-oriented Data Analyst to transform raw data into actionable insights that drive business decisions. You will analyze large datasets, build dashboards, and collaborate with cross-functional teams to identify trends, patterns, and opportunities for our clients.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and actionable business insights.
• Design and build interactive dashboards and reports using BI tools (Tableau, Power BI, Looker).
• Write complex SQL queries to extract, transform, and analyze data from multiple sources.
• Perform statistical analysis and hypothesis testing to support data-driven decision-making.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Develop and maintain data documentation, data dictionaries, and analytical playbooks.
• Conduct ad-hoc analyses and present findings to technical and non-technical audiences.
• Leverage AI tools including Claude for advanced text analytics, summarization, and insight generation.
• Ensure data accuracy and integrity through validation and quality checks.
• Support data engineering teams in defining data requirements and pipeline enhancements.

Required Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• 1+ years of experience in data analysis, business intelligence, or a related analytical role.
• Strong SQL skills with experience querying large-scale databases.
• Proficiency in at least one BI/visualization tool: Tableau, Power BI, Looker, or QuickSight.
• Working knowledge of Python or R for data analysis and statistical modeling.
• Experience working with data from cloud platforms (AWS, Azure, GCP).
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Excellent communication skills with the ability to present complex data in a simple manner.

Preferred Qualifications

• Experience with Snowflake, Databricks, or modern cloud data warehouses.
• Knowledge of statistical methods: regression, clustering, time-series analysis.
• Familiarity with AI/ML concepts and tools, including Claude API for AI-assisted analytics.
• Experience with Excel-based modeling and advanced spreadsheet techniques.
• Domain expertise in retail, finance, healthcare, or supply chain analytics.
• Experience in analytics consulting or client-facing analytical roles.

About the Role

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that
power analytics and AI-driven solutions for our clients. You will work closely with data scientists, analysts, and business
stakeholders to ensure reliable, high-quality data flows across the organization.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for batch and real-time data processing.
• Build and optimize data warehouse and data lake architectures on cloud platforms (AWS, Azure, GCP).
• Implement data models (dimensional, star/snowflake schemas) to support reporting and analytics needs.
• Develop and manage workflows using orchestration tools such as Apache Airflow, Prefect, or equivalent.
• Ensure data quality, governance, lineage, and cataloging across all data assets.
• Collaborate with data scientists to operationalize machine learning models and integrate AI/ML pipelines.
• Optimize query performance and tune databases including Snowflake, Databricks, Redshift, and BigQuery.
• Implement CI/CD practices for data pipeline deployment and version control.
• Monitor pipeline health, set up alerting, and troubleshoot data issues proactively.
• Stay current with emerging data engineering tools and best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 2+ years of hands-on experience in data engineering or a related role.
• Strong proficiency in SQL and Python; experience with Scala or Java is a plus.
• Experience with cloud data platforms: AWS (S3, Glue, Redshift, EMR), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
• Hands-on experience with Snowflake, Databricks, or similar modern data platforms.
• Working knowledge of Apache Spark, PySpark, and distributed computing frameworks.
• Familiarity with data orchestration tools (Airflow, Prefect, Luigi).
• Understanding of data modeling, data warehousing concepts, and database design.
• Experience with version control (Git) and CI/CD pipelines.

Preferred Qualifications

• Experience with real-time streaming technologies (Kafka, Spark Streaming, Kinesis).
• Knowledge of dbt for data transformation and modeling.
• Experience with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform).
• Familiarity with AI/ML tools and frameworks, including Claude API for AI-augmented data workflows.
• Cloud certifications (AWS, Azure, GCP) are a plus.
• Experience working in analytics consulting or client-facing data engineering engagements.

About the Role

We are looking for a Generative AI Engineer to design, develop, and deploy AI-powered applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks. You will build intelligent solutions that automate workflows, enhance decision-making, and create new value for our clients across industries.

Key Responsibilities

• - Design and develop Generative AI applications using LLMs (Claude, GPT, open-source models).
• - Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases and embeddings.
• - Develop agentic AI systems and multi-agent workflows for complex task automation.
• - Fine-tune and customize foundation models for domain-specific use cases.
• - Integrate AI solutions with enterprise systems, APIs, and cloud infrastructure (AWS, Azure, GCP).
• - Implement prompt engineering strategies, guardrails, and evaluation frameworks for LLM outputs.
• - Build scalable AI APIs and microservices for production deployment.
• - Evaluate model performance, conduct A/B testing, and iterate on AI solutions based on feedback.
• - Stay current with rapid advancements in Gen AI, LLMs, and AI safety/alignment research.
• - Collaborate with data engineers, product managers, and business teams to deliver end-to-end AI solutions.

Required Qualifications

• - Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
• - 2+ years of experience in software engineering, ML engineering, or AI development.
• - Strong proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
• - Hands-on experience with LLM APIs (Claude API/Anthropic SDK, OpenAI API) and prompt engineering.
• - Experience building RAG systems with vector databases (Pinecone, Weaviate, ChromaDB, pgvector).
• - Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI).
• - Experience with cloud platforms: AWS (Bedrock, SageMaker), Azure (OpenAI Service), GCP (Vertex AI).
• - Understanding of ML fundamentals: NLP, transformers, embeddings, fine-tuning.
• - Strong software engineering skills including API design, testing, and version control (Git).

Preferred Qualifications

• - Experience with Claude API, Claude Agent SDK, and Anthropic's tool-use capabilities.
• - Hands-on experience with Databricks for ML/AI workloads and MLflow for experiment tracking.
• - Knowledge of AI safety, responsible AI practices, and LLM guardrail frameworks.
• - Experience with Snowflake Cortex or similar in-database AI features.
• - Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.
• - Experience with multi-modal AI (vision, audio) and document AI solutions.
• - Published research or open-source contributions in AI/ML.

About the Role

We are looking for a QA Engineer specializing in data quality and testing to ensure the accuracy, completeness, and
reliability of our data pipelines, warehouses, and analytical outputs. You will develop and execute testing strategies for
data-intensive applications, ETL processes, and BI reports to maintain the highest standards of data integrity.

Key Responsibilities

• - Design and execute comprehensive test strategies for data pipelines, ETL/ELT processes, and data warehouses.
• - Validate data accuracy, completeness, consistency, and timeliness across source and target systems.
• - Develop and maintain automated data validation scripts and testing frameworks using SQL and Python.
• - Perform data reconciliation between source systems, data lakes, and reporting layers.
• - Test BI dashboards and reports to ensure accurate data representation and calculation logic.
• - Identify, document, and track data quality issues; collaborate with data engineers to resolve them.
• - Define and monitor data quality KPIs and SLAs across data assets.
• - Develop and maintain data quality rules, checks, and profiling routines.
• - Support regression testing for data platform migrations and upgrades.
• - Leverage AI tools including Claude for test case generation, anomaly detection, and documentation.

Required Qualifications

• - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• - 2+ years of experience in data testing, data quality, or QA for data-intensive applications.
• - Strong SQL skills with ability to write complex queries for data validation and reconciliation.
• - Experience testing ETL/ELT pipelines and data warehouse solutions.
• - Proficiency in Python for test automation and data validation scripting.
• - Familiarity with data quality frameworks and tools (Great Expectations, dbt tests, Soda).
• - Experience with cloud data platforms: AWS, Azure, or GCP.
• - Understanding of data warehousing concepts, data modeling, and database design.
• - Strong analytical skills with meticulous attention to detail.

Preferred Qualifications

• - Experience with Snowflake, Databricks, or modern cloud data platforms.
• - Familiarity with CI/CD pipelines and automated testing integration.
• - Knowledge of data governance and data cataloging tools.
• - Experience with performance testing for data pipelines and queries.
• - Familiarity with AI/ML model validation and testing concepts.
• - Experience leveraging Claude or similar AI tools for test automation and documentation.
• - ISTQB or similar QA certifications.