...Apply By 25 Sep' 26 Posted 3 weeks ago Fresher Job Be an early applicant About the... ...detail-oriented professional with strong technical and communication skills who thrives in a... ...data trends and communicate findings to non-technical stakeholders clearly and effectively...
... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
... (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream ...
... MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external systems while ...
... Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell). Strong command of at least one primary language (Scala, Python, etc.) and SQL. Experience with data catalog and metadata management (Unity Catalog, Lakeformation). Experience in Infrastructure as Code (IaC) using Terraform. Excellent problem-solving and debugging ...
... Integration Frameworks - Advanced SQL and Performance Tuning skills - Experience building and optimizing scalable data pipelines - Understanding of Data Architecture & Data Warehouse Concepts - Ability to collaborate with global/onshore teams and translate business requirements into end-to-end solutions - Excellent communication ...
... of excellence of a large Indian manufacturer. The centre holds four decades of engineering knowledge — design records, formulations, laboratory results, test data, reports and studies — spread across enterprise systems, departmental databases, local servers and document archives. The programme recovers that knowledge into ...
... experience in clinical data management within the pharmaceutical or biotechnology industry. - Familiarity with data management software and systems (e.g., Medidata, Oracle RDC, or similar). - Strong attention to detail and the ability to work effectively in a fast-paced environment. - Excellent communication skills and the ...
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...
... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...
Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority ...
... and Terraform. Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions. Design and evolve a data platform that enables scientists and analysts to query, model, and ship features and product metrics. Maintain and fix existing ETLs, improving reliability, observability, ...
... and analyzing data stored in Amazon S3.- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.- Collaborate with data architects, analysts, developers, and business stakeholders to understand data requirements.- Ensure data quality, security, governance, and best practices across ...
... Starburst/Trino, including connecting Starburst from Lambda and Glue ETL jobs. Experience with NoSQL databases such as DynamoDB, MongoDB. Experience working with data formats including Avro, Parquet, JSON, XML, and CSV. Comfortable challenging your peers and leadership team. Can prove yourself quickly and decisively. Excellent ...
About the Company :We are a leading technology firm dedicated to innovation and excellence in data https://jobeax.com/link/fc637Lq7iXaUjBEJ mission is to empower businesses through advanced data engineering and analytics, fostering a culture of collaboration and continuous https://jobeax.com/link/yeka7e9uOhXV2ngJ the Role ...
... CloudFormation Handson experience building and maintaining CI/CD pipelines for data platforms Exposure to containerized workloads (Docker, ECS/EKS where applicable to data workloads) Collaboration & Ownership Strong ownership mindset for solution quality, performance, and production stability Excellent communication skills to collaborate ...
... work independently and collaboratively to solve complex data challenges and drive continuous improvements across our data engineering practices. 4+ years of data engineering experience, building and managing large-scale data pipelines - Strong proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, ...