Design and develop data-driven solutions and scalable data pipelines using Python and SQL. Leverage Azure data products to build robust, secure architectures, ensuring data integrity, performance, and governance while supporting data-centric client projects.
As a Data Engineer, you will play a crucial role in designing and developing data-driven solutions for our clients. Your expertise in data exploration, Python, and SQL will be utilized to create efficient and scalable data pipelines. With a focus on Azure, you will leverage its data products and services to build robust and secure data architectures. Your role is key in ensuring data integrity, performance, and governance, while also contributing to the overall success of our data-centric projects.
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design and build data services and pipelines supporting machine learning products. Develop automation tools for model deployment, maintain production data systems, improve infrastructure, participate in code reviews, and collaborate across engineering, data science, and product teams. The role requires expertise in distributed systems, large-scale data processing, CI/CD, container orchestration, and AI-enabled workflow improvements.
Top Skills:
AirflowAWSAws BatchCi/CdDockerEmrGlueGoKafkaKubernetesKv StoresLinuxPythonRelational DatabasesSagemakerSparkSpinnaker
Database
Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.
Top Skills:
AWSAws Cost And Usage ReportsAws Cost ExplorerAws LambdaBashBigQueryCloudzeroDbtGCPGcp Billing ReportsHexLinearNotionPulumiPythonSQLTerraformVantage
Information Technology • Database • Consulting
Design and implement data pipelines, optimize processing and storage, ensure data accuracy and performance, provide technical support, and collaborate with data scientists, analysts, and stakeholders to resolve data issues and meet data requirements.
Top Skills:
Data PipelinesData Processing WorkflowsData Storage Systems
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.



