... Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. ...
... world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you ...
... sites. Maintaining data center documentation. Core business hours for planning and monitoring Weekends and out-of-hours work for physical infrastructure changes (with time off provided during the week) As our next Data Centre Engineer, you'll need to have: Attention to detail within a data center. Ability to identify basic ...
... Troubleshoot and resolve data pipeline issues in production environments. Apply data quality and governance best practices, including validation, logging, and monitoring. Collaborate on CI/CD deployment pipelines for data infrastructure. Required Skills & Qualifications: - 4+ years of hands-on experience in data engineering ...
... creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 ...
... Write clean, maintainable, and efficient code using Scala and Spark - Work with Azure or on-premises Hadoop ecosystem for data processing - Solve real-world engineering problems related to data infrastructure - Collaborate with cross-functional teams to deliver data-driven solutions - Ensure data quality, reliability, and ...
... creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Title: GCP Data Engineer Position: Data Engineer Experience: ...
... Copilot with prompt engineering to increase engineering velocity. Enforce data governance, risk management policies, and regulatory compliance standards across all data platforms. Preferred Candidate Profile Work Experience: 8+ years in large-scale application development with 5+ years in a Python and PySpark Data Engineering ...
... opportunity are encouraged to apply. The Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage ...
... Recruiting or US Staffing. - Strong understanding of the US IT recruitment lifecycle . - Experience recruiting for technologies such as Java, .NET, Cloud, DevOps, Data, QA, Cybersecurity, Business Analysis, Infrastructure, and Project Management . - Hands-on experience with LinkedIn Recruiter, Dice, Indeed, ZipRecruiter, or ...
... requirements. Required Skills - 06 Month – 2+ years of experience in US IT Recruitment. - Strong understanding of US tax terms (W2, C2C, 1099). - Experience working with ATS systems. - Excellent knowledge of IT technologies (Java, .NET, DevOps, Cloud, Data, SAP, etc.). - Strong communication and negotiation skills. - Ability to ...
Data Engineer Start Date Starts Immediately CTC (ANNUAL) Competitive salary Competitive salary Apply By Not Provided Posted 1 day ago Fresher Job Be an early applicant About the job Requirements Strong understanding of AWS architecture best practices, scalability, security, and cost optimization strategies. Strong hands-on ...
... & Data Engineering (AWS) Strong handson experience with AWS data services, including: Amazon S3, AWS Glue, Athena, Redshift Experience designing cloudnative data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable, faulttolerant data ingestion ...
Data Engineer – Chennai Experience: 3+ Years Immediate joiners preferred (or less than 20 days) Work Mode: Full-Time We are seeking highly skilled and experienced Senior Data Engineers with a deep understanding of data architecture, Big Data technologies, and large-scale data processing. The ideal candidate must have a ...
... and orchestrate datasets. Perform routine data monitoring, quality checks, and troubleshooting to maintain data integrity and workflow performance. Collaborate with data analysts, data scientists, and senior engineers to deliver data solutions. Document workflows, dataset schemas, and data engineering best practices. Required ...
... improve data pipeline reliability and quality.- Collaborate with stakeholders to deliver business-focused data solutions.- Mentor junior engineers and promote data engineering best https://jobeax.com/link/E00qLmZDpXHJjFEm Qualifications : - 5+ years of Azure Data Engineering experience.- Experience with large-scale distributed ...
... California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We are seeking experienced Data Engineering professionals with 4–6 years of hands-on expertise in Big Data technologies, with a focus on building scalable data solutions using Google Cloud Platform ...
... Women in the UK & Ireland by GPTW - We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. 5+ Years as a Data Engineer Consultant Senior, you will design, build and support modern data and analytics solutions for clients. ...
... enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling ...