... 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. ...
... and optimizations within the data platform architecture. Must To Have Skills: Proficiency in Data Engineering, Python (Programming Language), Data Wrangling, Data Mining. Experience with Python (Programming Language), Data Wrangling, Data Mining. Strong understanding of data integration techniques and data modeling concepts. ...
... take sensible risks, and the curiosity to keep learning, this is a great place to do your best work. Cloud and infrastructure: Google Cloud Platform, Vertex AI, BigQuery, Cloud Run, GCS, Cloud Composer, Cloud Scheduler Python, LangChain, LangGraph, Google ADK, Gemini, Claude, Vertex AI RAG Engine, prompt engineering Machine ...
... proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., Azure, Google Cloud) and modern data processing frameworks. - Familiarity with scripting and programming languages (e.g., Python, SQL,) to support ...
Minimum 5+ years of professional experience in Python development. Hands-on expertise with Django and Flask frameworks. Strong knowledge of AWS services (EC2, S3, Lambda, etc.). Hands on experience on SQL Excellent communication and collaboration skills. Ability to work independently in a remote setup.
... 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. ...
... years in a team-lead, engineering-lead, or project-lead capacity:Python / Django Development:- Lead the development of back-end services, REST/GraphQL APIs, and data-processing pipelines using Python and Django.- Establish coding standards, review PRs, and maintain a high bar for Python code quality across the team.- Guide ...
... 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 ...
... or data infrastructure. - 3+ years of experience working with GCP or similar cloud platforms (Azure, AWS). - Experience with GCP managed data services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery). - Experience with relational databases, legacy database/application migration, and cloud-based databases (BigQuery, ...
Job Responsibilities Data Governance professional with experience in: Data Governance & Stewardship Collibra SQL Customer Master Data (HCP, HCO, Affiliations, Organizations, Addresses, Territories & Sales Alignment) Data Quality, Validation, Deduplication & Enrichment Metadata Management, Data Lineage, Business Glossary ...
Shape the utilities market of the future with us! We are looking for a motivated Junior Python Developer with a good foundation in Python and an understanding of backend web development using Django . The ideal candidate should be comfortable working with REST APIs, relational databases, background task processing, and ...
... in reconciliation and regulatory reporting Skills – Good to Have Experience with payments, fintech, or financial services data Familiarity with automation tools such as n8n and python to streamline repetitive tasks. Understanding of ETL processes and data pipelines to collaborate effectively with data engineering teams.
... 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. ...
... Writer in an API-first product. - Hands-on experience in writing public-facing developer documentation. - Ability to read and write code snippets (JavaScript, Python, https://jobeax.com/link/JSd7UYCSg572jJDY, or similar). - Experience with developer portals (e.g., Experience with Postman, API testing tools, and developer ...
Python & Django - Minimum 5 Years :- Candidates must demonstrate at least 5 years of production development using Python and Django :- Python 3.x proficiency : async/await, type annotations, decorators, generators, context managers, and idiomatic Pythonic patterns.- Deep familiarity with the Django framework core :1. ORM ...
... (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. ...
... 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 ...
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 ...
... experience.- Programming languages : Python, SQL, Spark (must).- PySpark, Matillion, Shell scripting (good to have).Experience Requirements :- 8+ years of overall data engineering experience.- 4+ years of hands-on experience with AWS data services.- Proven experience migrating ETL platforms such as Matillion, Informatica, Talend, ...