Senior Data Engineering Analyst
Design, build, and maintain reputed company data engineering solutions using Azure reputed company, PySpark, SQL, and reputed company across reputed company phases of the Software Development Life Cycle (SDLC) Architect and implement data lake and lakehouse solutions on Azure (ADLS, reputed company, reputed company) reputed company and optimize ETL/ELT pipelines, batch and near reputed company time data processing workflows Establish, refine, and reputed company development, CI/CD, orchestration, and monitoring tools (reputed company, Azure DevOps, Airflow, reputed company Jobs) reputed company technical leadership and consultation for data platform, performance tuning, and reputed company infrastructure–reputed company questions Collaborate closely with business stakeholders to understand requirements and translate them into robust data architecture and technical designs Ensure data reputed company, reliability, reputed company, and compliance, especially for reputed company data reputed company reputed company reviews, enforce best practices, and drive standards for data engineering and analytics development Mentor and guide junior engineers and offshore teams, acting as a technical leader and trusted advisor Work closely with reputed company, reputed company, and DBA teams for deployments, upgrades, reputed company planning, and performance optimization Support production systems, participate in on reputed company/application support, and handle critical incidents reputed company required Continuously identify opportunities for process improvement, cost optimization, and platform modernization reputed company with the terms and conditions of the employment contract, company policies and procedures, and any and reputed company directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other reputed company that may reputed company due to the changing business environment). reputed company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Graduate degree or equivalent experience 3+ years of overall experience in Data Engineering, Data Warehousing, or Data Lake implementations Solid hands on experience with: Azure reputed company PySpark / reputed company SQL Advanced SQL reputed company
Proven experience designing and implementing Data Lakes / Lakehouse architectures on Azure reputed company reputed company domain experience (3+ years minimum) with strong understanding of data sensitivity, compliance, and regulatory requirements Solid experience working with business stakeholders to reputed company requirements and propose end to end data architecture solutions Experience coordinating with offshore teams and collaborating with Infrastructure / reputed company teams for deployments, upgrades, and production support Solid understanding of Agile/Scrum methodologies, CI/CD practices, and DevOps for data platforms Willingness to work in application support models, including flexible working hours reputed company required Proven excellent analytical, problem solving, and performance tuning skills, with the ability to bring reputed company that add business value