... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...
... implementing enterprise-grade data solutions. - Extensive experience designing and delivering Data Lakes, Lakehouse Architectures, Data Warehouses, and Real-Time Data Platforms, along with a strong understanding of data modeling, governance, security, metadata management, data quality, and data lineage. - Proven ability to ...
... infrastructure upgrades, and architectural improvements to enhance system performance and efficiency. Capacity Planning and Scaling: Scale resources (servers and databases) based on usage patterns and anticipated growth. Create and maintain comprehensive documentation for configurations, procedures, incidents, and best practices. ...
Job Description : As a Data Scientist, you will identify business trends and solve complex problems using large-scale data and advanced AI techniques. You will design, develop, and deploy high-impact solutions ranging from classical ML/DL to LLM-powered applications including RAG-based architectures and Agentic AI https://jobeax.com/link/LNO4qyefA3UlJa2l ...
... data integration, workflow orchestration, and data warehouse https://jobeax.com/link/xr65F3iaCgiH6SkB candidate will work closely with business stakeholders, data architects, and engineering teams to migrate existing ETL workloads, optimize data processing frameworks, and establish best practices for cloud-native data https://jobeax.com/link/QJthsbNyq6dgbViB ...
Role : Senior Data Scientist - Digital AssetsJob Description :Skills and Competencies :- Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics- Strong understanding of structured and unstructured data, including on-chain and off-chain data ...
... improving and maintaining new and existing databases to help users retrieve data https://jobeax.com/link/bpUDbLzR6pBwS6XN : - Design stable, reliable and effective databases- Optimize and maintain legacy systems- Modify databases according to requests and perform tests- Solve database usage issues and malfunctions- Liaise with ...
We are seeking a highly skilled L3 Database Administrator with strong expertise in SQL Server and PostgreSQL to manage, support, and optimize critical database systems. The role involves advanced troubleshooting, performance tuning, cloud database management, and ensuring high availability and disaster recovery for production ...
... standards.- Develop and review Python-based data engineering solutions, frameworks, and reusable components.- Design and optimize ETL/ELT pipelines for large-scale data processing.- Work with structured and unstructured data across data lakes, data warehouses, and modern data platforms.- Define strategies for data ingestion, ...
... (EBS), Oracle Cloud Applications, and Oracle Cloud Infrastructure (OCI). Proven track record of ensuring high availability, performance, and security of Oracle databases. Skilled in Oracle Fusion Middleware (FMW), Vertex tax compliance, Oracle APEX development, Demantra integration with non-Oracle systems, and cloud migration. ...
... high-quality data solutions that enable analytics and reporting. Design, develop, and maintain data pipelines using Azure Data Factory (ADF). Manage and optimize data storage in Azure Data Lake Storage (ADLS). Implement transformations and data processing using Azure Databricks (PySpark/SQL). Ensure data quality, integrity, ...
... Advanced Python Programming, Databricks , Azure SQL , Data factory (ADF), Data Lake, Data storage, SSIS. Create and deploy scalable ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL . Experience in Unity Catalog for centralized data governance, access control, and data lineage tracking. Develop unit tests ...
... cleansing, reusable query logic, automation of data pipelines.- SQL & Query Optimization : Advanced joins, indexing, stored procedures, query tuning for large datasets.- Microsoft Fabric : Exposure to Fabric ecosystem for scalable data engineering and analytics.- Data Modeling & ETL : Star schema, fact/dimension modeling, ...
... experience in Data Engineering. Data Engineer We are looking for a DevOps Engineer to join our team. The ideal candidate brings 4+ years of hands-on experience in Data Engineering. 4+ years of hands-on experience in Data Engineering. Strong SQL and database concepts. Proficiency in Python. Experience with ETL/ELT tools and data ...
... (Exposure preferred). Design and implement data pipelines using ETL/ELT tools and techniques. Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using ...
... candidates via LinkedIn, all applications must be submitted through our official website ( https://jobeax.com/link/1iJyEIRqk07JrVCp build systems that run on data, and that data has to be ingested, transformed, and validated before anything downstream can trust it. As a Data Engineer, you build the ingestion and transformation ...
... devices under guidance. Escalate unresolved issues to L2/L3 Network Engineers with proper documentation. Assist in patching, cabling, and hardware replacement in data centers or office environments. Ensure compliance with IT policies and maintain accurate documentation of network changes and incidents. Required Skills & Knowledge ...
... expertise in designing and managing Snowflake data warehouses, including performance tuning and resource monitoring.- Proficiency in building modular and scalable data transformations using Data Build Tool (dbt).- Advanced capability in writing complex SQL and Python scripts to manipulate large datasets and automate data processing ...
... financial domains (Payments, FX, Accounts) - Experience in data product-oriented delivery approaches - AI-assisted data product development experience Data & AI - Data Engineering - Data Quality & Validation Big Data - Big Data - Pyspark Data & AI - MLOPS - Python Database - Database Programming - SQL Data & AI - Data Engineering ...
... Functions, console apps, services, etc.). Build scalable ETL/ELT pipelines on modern tooling (Databricks, Snowflake, Fabric, etc.) Orchestrate batch pipelines with Databricks Jobs/Workflows, SSIS, Azure Data Factory, or equivalent tools. Partner with stakeholders to translate requirements into robust data solutions; Participate ...