... and maintain scalable data pipelines for data processing and transformation Build and manage workflow orchestration using Apache Airflow Develop and maintain data models and transformations using dbt Work with BigQuery or similar cloud data warehouses for data storage and querying Manage and interact with cloud object storage ...
... quality, and observability. Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Data modeling & contracts: Define schemas, data contracts, and ...
... development. Knowledge of Data Analysis, Business Plan, Scheduling/Roadmap, Project Management, Research world add value Knowledge on SQL queries to do some data analysis Advance level Functional knowledge to work along with the business on scope such as, Product structure & Configuration management principles Data interaction ...
DATA ENGINEER EXPERIENCE - 5-8 yrs WORK MODE - HYBRID Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure ...
Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...
... intelligent conversational interfaces. Role Overview: Position: Generative AI Chatbot & Azure Open AI with LLM and RAG Experience Required: 5+ years in GEN AI (Data Science) Location: Gurgaon /Bangalore /Hyderabad /Pune Employment Type: Permanent Notice Period: Preferred Immediate joiners Key Responsibilities: Design and ...
... growth and innovation. Bachelor's or Master's degree in Computer Science , Engineering, Data Science or a related field. 10+ years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. Deep expertise in data warehousing, data modeling ...
... especially in post-trade clearing and settlement Experience with any data profiling/data discovery/data quality tool Education/Certification: Bachelor's degree in an appropriate area of specialization (Computer Science or Information Systems) Data management and data architecture related certifications (i.e. TOGAF) is a plus
... by other engineers) Expert-level knowledge of: Microsoft .NET technology stack (C#/JAVA/ .NET, https://jobeax.com/link/GrYTXLZMpxEMJknV MVC, Web APIs) and SQL databases (Postgres, Microsoft SQL Server or any other) HTML5 and JavaScript; experience with Typescript and React is a plus Git, unit testing, debugging, profiling, ...
... per-tenant configuration, and noisy-neighbor mitigation. Ensure tenant data isolation and security across all system layers. Design systems capable of handling large data volumes and concurrent migration workloads. Define the overall data architecture, including storage, partitioning, streaming, batch processing, and data pipelines. ...
... accountable for delivering exceptional results. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation ...
We are hiring for Senior Data Engineer (MS Fabric & Telecom) Work location: Bangalore, Karnataka, India Experince: 8 to 10 years Notice: Imdiate to 30 days only Role Overview As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of ...
Pro Arch is seeking a Senior Data Engineer with 3-5 years of experience to join our Data & Analytics practice. In this role, you will design and deliver scalable data solutions, optimize performance, and enable advanced analytics across cloud platforms. You will work with large-scale datasets, modern cloud-native technologies, ...
... role in powering our new product and technology development processes. You'll own the stability, accuracy, and continuous improvement of the digital tools and data that teams across the business rely on every day. Acting as the central connector between systems, data, and people, you will help identify and close process ...
... proactive investor relations. Because this is explicitly a Growth CFO mandate rather than a traditional compliance/stewardship role, the incumbent will bring an operator and investor mindset to deploy surplus balance sheet capacity, evaluate unit economics of incubated verticals, optimize cash productivity, and build long-term ...
... problems following established standards. Incorporates Integrated Sustainable Design solutions into projects. Builds models for client/project team review. Compiles data and performs elementary design computations. Required Skills Possess space planning skills and an interest in programming. Basic knowledge of design, trends, ...
... age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure ...
... release software faster and more reliable. You have a https://jobeax.com/link/7MP5OIWqBjLWowIE https://jobeax.com/link/s1WvHFV9ITSwCkyS university degree in Computer Science/Electronics and Communication • You have minimum 10 years of experience and above. - You are eager to learn and open-minded having strong software engineering ...
... and stored procedures for performance and accuracy Perform data validation quality checks and reconciliation to ensure data integrity Troubleshoot and resolve data pipeline failures and performance issues Collaborate with data analysts data scientists and business teams to understand data requirements Implement best practices ...