Analyze, organize, and process large volumes of data to support business and technology decision-making.
Develop and maintain data pipelines using Databricks, Python, PySpark, and SQL, ensuring efficiency and quality.
Build dashboards, reports, and executive presentations to translate data into actionable insights.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. They have 8,000 employees in over 25 countries, collaborating to build solutions with real impact, with AI integrated into their daily work.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world. We are a global IT services and consulting company with nearly 1000 full-time professionals and a culture of Relentless Performance.
Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing.
Implement Delta Lake principles focusing on CDC and schema evolution, and integrate data quality frameworks within CI/CD pipelines.
Develop and optimize complex SQL and Python scripts, handling diverse data sources and supporting data governance solutions.
Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow.
Oversee the full lifecycle of data products within the Data Core team, from ideation to operation and continuous optimization.
Ensure the data infrastructure (Databricks, Unity Catalog, data lake) operates with excellence, reliability, and scalability.
Lead and develop a cross-functional team of data engineers, scientists, and analytics experts, balancing long-term vision with hands-on execution.
We help large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, we are 8,000 CI&Ters in over 25 countries, collaborating to build solutions with real impact.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Design and implement end-to-end data solutions using Azure Databricks, PySpark, and Azure Data Factory.
Drive automation in data integration and build API-based integrations and real-time ingestion frameworks.
Lead technical design reviews, mentor junior engineers, and partner with business stakeholders.
Alimentiv is a life sciences and healthcare technology company that provides data solutions and analytics. The corporate operations team in Bangalore focuses on technology and innovation, employing a team of engineers and data professionals.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
Design and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from various sources.
Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation.
Enable CRM and marketing teams to access trusted, activation-ready customer data with minimal latency.
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. They have grown quickly in five years and are aiming for $100M in revenue, with a culture of ownership, collaboration, and growth.
Design and build production data pipelines using Databricks technologies such as Lakeflow, Autoloader, and Structured Streaming.
Architect and implement Lakehouse solutions on Databricks with medallion architecture, Delta Lake, and Unity Catalog.
Consult with clients to understand data challenges and implement sustainable data strategies and solutions.
Livefront helps companies design and build world-class digital products that command attention and inspire joy. They are a consultancy with a reputation for excellence, working with household names and startups, and they value collaboration, quality, and community.
Design and build ingestion pipelines from enterprise source systems into the Databricks lakehouse using Delta Lake, owning Bronze-layer ingestion and building Silver-layer pipelines for cleansing and standardization.
Implement and maintain Databricks platform constructs for secure delivery, including catalogs, schemas, service principals, and job orchestration, and build CI/CD pipelines for data platform assets.
Apply data classification and segregation requirements within pipeline design, build data quality controls reflecting business meaning, and partner with teams to ensure reliable, governed data for downstream use.
Shield AI is a venture-backed defense-tech company founded in 2015 with the mission of protecting service members and civilians with intelligent systems, developing products like Hivemind autonomy software and V-BAT and X-BAT aircraft. The company has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology actively supports operations worldwide.
Lead the technical migration from legacy SQL Server to Databricks Lakehouse, ensuring best practice Lakehouse design.
Design robust ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows.
Enforce governance standards and implement data security using Unity Catalog.
We are an IT staffing and consulting firm that provides specialized engineers to government clients. Our culture emphasizes quality placements and technical excellence.
Define and enforce best practices and coding standards across the project.
Design, develop, and maintain robust and scalable Spark applications.
Work closely with cross-functional teams to deliver high-quality software solutions.
Exadel is an AI-first global tech company with 25+ years of engineering leadership and over 2,000 team members. With a culture of ambition, collaboration, and constant evolution, they power Fortune 500 clients including HBO, Microsoft, Google, and Starbucks.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Own Gold-layer design and delivery, including facts, dimensions, domain data marts, and governed KPI implementations on Databricks.
Build and maintain the enterprise semantic layer through curated views, governed semantic models, and metric definitions.
Partner directly with business stakeholders across domains to clarify KPI definitions and resolve competing definitions before implementation.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians. The company has offices across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology supports operations worldwide.
Design and build production data pipelines on Databricks using medallion architecture and Data Vault 2.0.
Harden curated and presentation layers to drive donor lifetime value, retention, and campaign ROI.
Build identity resolution and data observability to ensure trustworthy data for 24,000+ nonprofits and AI agents.
Bloomerang offers a giving platform and support for nonprofits to raise more and retain donors. They serve tens of thousands of nonprofits and have a culture built on core values of Simplify, Care, and Act.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Design and deliver scalable Databricks solution architectures for enterprise customers.
Lead technical discovery sessions and develop prototypes and proofs of concept.
Collaborate with engineering, data science, and business teams to translate technical concepts into business outcomes.
This company is a partner organization that designs and delivers modern data and AI platforms. It offers a remote-friendly work environment and a collaborative culture focused on innovation.
Drive migration of legacy Hadoop/Spark/Impala data pipelines to a modern Databricks-centric stack.
Design and build scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines.
Implement robust validation strategies to ensure data parity and quality between legacy and modern systems.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. Named the #1 Most Innovative AI Company by Fast Company, we power nearly a billion conversational interactions every month for top global brands.