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About Kinaxis Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re…
Data Engineer at a consulting firm building and maintaining ETL pipelines and cloud-based data lakes, primarily on AWS (Glue, S3, Athena, Lake Formation) and Databricks/Delta Lake, using Python and SQL.
Senior Data Scientist applying advanced analytics, machine learning, and generative AI (LLMs, RAG pipelines, vector databases) to Medicare/Medicaid claims data to detect fraud, waste, and abuse.
Lead Databricks Data Engineer to own data engineering workstream of a large-scale predictive analytics programme, architecting and leading production-grade data pipelines on Databricks, integrating SAP and Oracle systems into a governed lakehouse, and leading a small engineering team.
Freelance Senior Data Engineer building and maintaining Python-based ETL pipelines and cloud data models to support an eCrime defense team's threat detection and investigation efforts.
Senior Data Engineer designing and maintaining Snowflake-based ETL/ELT pipelines with SnapLogic and dbt, working US hours from Hyderabad.
Senior Data Engineer building and operating production-grade data pipelines on AWS (S3, Glue, EMR, Redshift, Lambda) using Python and SQL, with Airflow, Delta Lake, and streaming tools, for a political/policy research analytics firm in Bangalore (hybrid).
Data Engineer owning ELT/ETL pipelines, data models, and quality controls for cloud data platforms, with secondary responsibility for production ML pipelines powering a shopping cart computer-vision classifier. Core tech: SQL, Python, Azure/GCP, Airflow/Prefect, Spark/Databricks.
Founding AI and Backend Engineer for a stealth logistics startup (FreightX, a T3RA Logistics spinoff), building agentic AI pipelines and scalable backend systems to automate freight management workflows.
The NetDevOps Consultant drives network automation, infrastructure-as-code, and AI-driven operations across cloud, edge, and enterprise environments using Python, Ansible, Terraform, and observability platforms.
Location: Buenos Aires, Argentina Language requirement: Fluent English (spoken and written) We are seeking a Cybersecurity IAM Engineer to design, implement, and optimize identity and access solutions across our global…
About the job The Finance Data and AI Office (DART) delivers trusted data, analytics, and AI enabled solutions across Finance, Risk, and Treasury. This role sits within the Automation, Analytics & AI pillar and…
Designs and builds AI-powered test automation frameworks for carrier-grade network systems, integrating Python/Java/Go with CI/CD and AI/ML to validate network protocols and cloud-native products.
Leads a team to design and implement automated testing frameworks for Nokia's carrier-grade network products, integrating AI/ML and CI/CD pipelines.
Senior Power BI Architect leading enterprise-scale BI platform design, semantic modeling, governance, and cloud integration with Azure ecosystems.
Senior Power BI Architect leading the design and delivery of enterprise-scale BI and analytics solutions, focusing on data integration, semantic modeling, visualization, governance, and performance optimization using Power BI and Azure ecosystems.
Data Scientist at Eli Lilly building predictive models, multivariate analytics (PCA/PLS), and data-driven solutions to support pharmaceutical GMP manufacturing, process monitoring, and digital transformation across global teams.
The Data Scientist will develop and deploy advanced analytics and predictive models to optimize pharmaceutical manufacturing processes. They will collaborate with cross-functional teams to ensure data quality and compliance while driving digital transformation initiatives.
Job Description Summary About the Role The role leads Hyderabad-based Planning & Analysis support for US Corporate Functions and legal entities, with accountability for the quality, timeliness, controls, and…
The Senior BI Analyst will develop and maintain Power BI dashboards and SQL-based analytical models to support iGaming operations. This role involves collaborating with stakeholders to translate business needs into actionable insights and scalable reporting solutions.
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