Senior Director- Data Engineer (Databricks/AWS)

Job Description

Nasdaq Technology is looking for a passionate Data Engineering Lead, to join the Bangalore technology center in India. If Innovation and effectiveness drive you forward this is the place for you! Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow. With this position we offer As Data Engineering Lead, you will be primarily responsible for taking the defined business requirements and provides analytical, modelling, dimensional modeling and testing to provide best outcomes for design against these customer s requirements. You will also be doing analysis, concentrates on understanding the business needs for data and information. The data engineer translates business information needs into data structures that are adaptable, extensible and sustainable. We are looking for candidates who share those values along with a genuine desire and drive to deliver top technology solutions to todays markets. Role Responsibilities - As a Senior Director your focus will be to mentor others in developing the technology platform on Databricks and AWS cloud and provides options to leadership on which platforms make most sense. Chip in to the architecture and design of different platforms as the Nasdaq s new technologies influences future platform choices. Is the technical lead on project teams defining needs. We develop data/information quality metrics, researches new technology and develops cases to support enterprise-wide business intelligence solution. Uses data modeling techniques and tools in analyzing and specifying data structures to be implemented within an application system. Defines logical views and works with the database administrators to build physical data structures. Aware of technological trends and competitive landscape and incorporates into crafting solutions. Provides deep domain and industry expertise to craft and develop build solutions. Is the functional expert that mentors others in the team! We expect you to have: At least 15-years of experience working in Data Warehouse/Data Lake technologies (Databricks, AWS, or related tools) Proven experience in data engineering, with at least 5 years in leadership roles. Experienced knowledge of SQL, Python, Spark, and data modeling. Consistent track record of building and maintaining data pipelines and data warehousing solutions. (Informatica, Data Factory, AWS Glue, etc). Strong background in data governance and security. Bachelors/Masters degree or equivalent experience in Computer Science or related field. It would be great- If you hold working experience in Terraform, CI/CD, Git Databricks certifications Does it sound like you As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks.