Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
YASH Technologies, Inc. is seeking an experienced Lead Data Engineer in Bengaluru to design and optimize ETL pipelines, leverage SQL/PL-SQL for data integration, and use Python/SAS for processing and automation. The role includes production support, month-end operations, and knowledge transfer to teams.
The ideal candidate will lead and mentor junior members, collaborate with stakeholders, and ensure data accuracy across critical business processes, in a fast-paced production environment.
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hireSnowFlake Professionals in the following areas :
7-10 Years
Role Summary
We are seeking an experiencedLead Data Engineerwith strong expertise inETL development, SQL, PL/SQL, Python, and SAS. The ideal candidate will be responsible for supporting and enhancing data processing solutions, ensuring the smooth execution of critical business operations, particularly duringmonth-end closing activities. This role requires excellent communication skills, the ability to effectively absorb and transfer knowledge, and the capability to work in a fast-paced production support environment.
Key Responsibilities
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles