Role Summary We are seeking a highly motivated and skilled Data Engineer to join our data and analytics team. This role is ideal for someone with strong experience in building scalable data pipelines, working with modern lakehouse architectures, and deploying data solutions on Microsoft Azure. You’ll be instrumental in developing, orchestrating, and maintaining our real-time and batch data infrastructure using tools like Apache Spark, Apache Kafka, Apache Airflow, Azure Data Services, and modern DevOps practices. Key Responsibilities Design and implement ETL/ELT data pipelines for structured and unstructured data using Azure Data Factory, Databricks, or Apache Spark. Work with Azure Blob Storage, Data Lake, and Synapse Analytics to build scalable data lakes and warehouses. Develop real-time data ingestion pipelines using Apache Kafka, Apache Flink, or Apache Beam. Build and schedule jobs using orchestration tools like Apache Airflow or Dagster. Perform data modeling using Kimball methodology for building dimensional models in Snowflake or other data warehouses. Implement data versioning and transformation using DBT and Apache Iceberg or Delta Lake. Manage data cataloging and lineage using tools like Marquez or Collibra. Collaborate with DevOps teams to containerize solutions using Docker, manage infrastructure with Terraform, and deploy on Kubernetes. Setup and maintain monitoring and alerting systems using Prometheus and Grafana for performance and reliability. Required Skills & Qualifications Programming & Scripting: Proficiency in Python, with strong knowledge of OOP and data structures & algorithms. Comfortable working in Linux environments for development and deployment. Database Technologies: Strong command over SQL and understanding of relational (DBMS) and NoSQL databases. Big Data & Real-Time Processing: Solid experience with Apache Spark (PySpark/Scala). Familiarity with real-time processing tools like Kafka, Flink, or Beam. Orchestration & Scheduling: Hands-on experience with Airflow, Dagster, or similar orchestration tools. Cloud Platform: Deep experience with Microsoft Azure, especially Azure Data Factory, Blob Storage, Synapse, Azure Functions, etc. AZ-900 or other Azure certifications are a plus. Lakehouse & Warehousing Knowledge of dimensional modeling, Snowflake, Apache Iceberg, and Delta Lake. Understanding of modern Lakehouse architecture and related best practices. Data Cataloging & Governance Familiarity with Marquez, Collibra, or other cataloging tools. DevOps & CI/CD Experience with Terraform, Docker, Kubernetes, and Jenkins or equivalent CI/CD tools. Monitoring & Logging Proficiency in setting up dashboards and alerts with Prometheus and Grafana. Note: - Immediate joiner will be preferred. Show more Show less

Role Summary We’re seeking a part-time Freelance AI Specialist to support our growing portfolio of AI-driven projects. In this fully remote role, you’ll be responsible for designing, implementing, and optimizing AI models that deliver real business value. You’ll work closely with our development teams to translate complex problems into scalable AI solutions. Key Responsibilities Design and implement AI solutions across diverse projects Analyze datasets to uncover insights and build predictive models Develop, train, and fine-tune machine learning algorithms Optimize existing AI models for performance and scalability Collaborate with internal teams to integrate AI into production systems Ensure code quality, documentation, and version control for deliverables Qualifications Proven experience in AI/ML development, data analysis, and algorithm design Strong understanding of machine learning concepts, including neural networks Hands-on expertise with AI frameworks such as TensorFlow , PyTorch, or similar Excellent problem-solving, critical thinking, and analytical skills Ability to work independently and deliver on time in a remote setup Experience in full-stack or backend software development is a plus Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. Minimum 5 to 8 years of experience in same field are prefferable. Why Work with Us? Work on meaningful projects with real-world business impact Flexible part-time freelance engagement — fully remote Collaborate with a forward-thinking, agile team Opportunity to grow your AI portfolio and apply your skills creatively