Get new jobs by email
- ...Job Description: Design, develop, and maintain data integration and ETL processes using IBM DataStage based on business and technical... ...Qualifications: At least 3–5 years of experience in Data Engineering, ETL Development, or Data Integration. Strong hands-on...
- ...Qualifications: Education: BS in CS, Engineering, or related field (or equivalent experience) with strong programming fundamentals. Experience: 7+ years as a Data Engineer handling data and ETL processes. Azure Suite: Azure Data Factory, Synapse, Databricks,...
- ...Data Technical Lead plays a pivotal role within our evolving Data organization, leading the solution design, development, and strategic... ...using AWS core data services, driving innovation in Data Engineering, Governance, Integration, and Virtualization. Oversee all technical...
- ...Develops code and solutions that transfers/transforms data across various systems Maintains deep technical knowledge of various tools... ...must have a minimum of (3) years of experience in a Data Engineer role, including the following tools/technologies: Experience...
- ...Description Design, construct, install, and maintain data management systems. Develop and maintain scalable data pipelines and... ...field. Experience Level: 3–5 years of experience in a Data Engineering role. Skills and Competencies: Proficiency in SQL, Python,...
- 1.0 Job Summary The Azure Data Engineer will be responsible for designing, developing, and managing data pipelines and architectures. S/he will ensure that data flows seamlessly from multiple sources into databases, data lakes, or warehouses and is processed in a way that...
- ...About the Role We are looking for a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and robust data infrastructure. You will play a key role in shaping our data architecture, enabling advanced analytics, machine learning, and...
- ...Qualifications for Data Engineer/Operations • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • Experience building and optimizing data pipelines, architectures...
- ...This position designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a...
- ...Summary: Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure... .... Key Responsibilities: Snowflake Architecture & Engineering: Lead and implement Snowflake solutions across data ingestion...
- ...The Data Architect strategically leads the creation and maintenance of an organization's master data blueprint. This role defines data structure, governance, and integration across systems, ensuring effective use for business goals and stakeholder needs. RESPONSIBILITIES...
- ...Senior Data Engineer Job Description • Develop data ingestion, summarization, processing, and cleansing scripts • Maintenance of data pipeline • Development of Web APIs • Identify, mine, and assemble large, complex data sets from different data sources that...
- ...We are looking for an Informatica ETL Developer to join our dynamic data engineering team. The successful candidate will be responsible for designing, developing, and maintaining ETL processes using Informatica PowerCenter . You will work closely with cross-functional...
- ...We are seeking an experienced Data Engineer to design, implement, and optimize scalable data pipelines and cloud-based data solutions. This role focuses on enabling data-driven decision-making by providing clean, reliable, and well-structured data across the organization...
- ~ Develop, optimize, and maintain data pipelines and data architectures. ~ Perform root cause analysis on internal and external data... ...related quantitative field. ~3+ years of experience in a Data Engineer or Data Operations role. ~ Proficiency in SQL and experience...
- ...As a Data Platform Engineer, you will engage in the design and implementation of data platform solutions. Your typical day will involve collaborating with various teams to ensure seamless integration of data systems, contributing to the overall architecture, and addressing...
- ...Description Design and implement scalable data pipelines to facilitate data collection, storage, and processing. Develop and... ...related field. Experience Level: 5-8 years of experience in data engineering or related roles. Skills and Competencies: Proficiency in...
- -6+ years of experience in the software development area; -Proven expertise in Data Warehousing and Data Analytics projects, encompassing data acquisition, transformation, and data science initiatives -Exposure with modern data file formats such as Delta Tables, Apache...
- ...We're Hiring: Cloud Data Engineer Location: Metro Manila-based applicants only (Hybrid setup – 2x/week onsite at UP Technohub, QC ) Shift: ~3:00 PM – 12:00 MN (Onsite) ~4:00 PM – 1:00 AM (WFH) ~1st month: full night shift to sync with US client ~ Follows...
- • Implement request for ingestion, creation, and preparation of data sources • Develop and execute jobs to import data periodically/ (near) real-time from an external source • Setup a streaming data source to ingest data into the platform • Delivers data sourcing approach...
- ...Qualifications: 1. Designs and builds data storage solutions including database objects and data structures, data ingestion pipelines... ...8. Develop and maintain documentation related to data engineering and analytics processes and procedures 9. Perform Proof of Concept...
- ...applying best practices and the spark configuration balancing. Conversion and migration of jobs from one platform to another big data platform. Integration of a job from its ingested source transforming it into various targets like databases, extracts files, and...
- ...operations. Job Description: Architect and design end-to-end data solutions using Azure Databricks, Delta Lake, and other Azure... ..., performance, and security. Collaborate with data engineers, analysts, and business stakeholders to define data models, pipelines...
- ...Description Design and implement data pipelines for efficient data processing and migration. Analyze complex datasets to ensure... ...Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field Experience Level: 3-5 years of experience...
- ...Summary: The Power BI Developer helps the sales team turn raw data into clear, actionable insights by building interactive dashboards and reports. Key Responsibilities: Design and build accurate, efficient data models. Translate business needs into technical...
- ...We reinvent experiences and open new doors. And we invest in the data and technology to power that vision. Here at QuadX, we’re... ...building Futurepreneurs. Role Summary As Data Analytics Engineer , you will design, build, and maintain scalable, governed data...
- ...We are seeking a Senior Data Engineer to design, build, and maintain scalable, modular, and cost-effective data pipelines and products in the Microsoft Azure ecosystem. The role involves collaborating with cross-functional teams to deliver high-quality, automated data...
- ...Description Design and implement scalable data pipelines and architectures. Collaborate with data scientists and analysts to... ...related field. Experience Level: 3-5 years of experience in data engineering or a related field. Skills and Competencies: Proficiency in...
- ...With 1-3 years of experience supports designing, building, and maintaining data systems that handle data collection, storage, and processing (both batch and real-time). To create efficient, secure, and scalable solutions to turn data into insights. Develop, test, and...
- ...We’re looking for a Senior Data Engineer to join an international team working on high-impact data integration and transformation projects. You’ll collaborate with global stakeholders to build scalable data pipelines, optimize large datasets, and contribute to cloud-...