Business Intelligence Data Engineering Senior Specialist

Bengaluru-Affluence

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Nasdaq Technology is looking for a passionate Business Intelligence Data Engineering Senior Specialist, 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. As a Business Intelligence Data Engineering Senior Specialist, 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 today's markets.

With this position we offer :

Join the development organization for the Nasdaq Corporate Systems Business Intelligence Engineering Team. The main objective of for this development team is to build state of the are Business Intelligence solutions. As our new member, you will work with a group of enthusiastic and experienced team members.

Your role and responsibilities:

Primarily responsible for taking the defined business requirements and provides analytical, modelling, dimensional modeling and testing to provide the best outcomes for design against these customers's requirements.

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 balanced.

Furthermore, you will: 

  • Develop technology platform leveraging Microsoft Fabric, OneLake Lakehouse and Azure data cloud services.
  • Design and implement ETL/ELT data pipelines using Informatica, Azure Data Factory, Python and PySpark.
  • Supervise the design and implementation of the methods to extract data’s from different sources.
  • Responsible for identifying, analyzing and resolving technical problems with Nasdaq Data Platforms and related ecosystems.
  • Supervise the team in writing ETL and data transformation processes and job for Nasdaq Finance Data platforms using most suitable application and tools available.
  • Supervises the overall process and dependencies of all jobs and supervise the corrective actions taken.
  • Develops technical and operational standards, procedures and technical documents.
  • Responsible for developing, monitoring and reporting performance metrics.
  • Pro-actively keeps knowledge and skills up-to-date and act as an expert in the field.
  • Actively contributes to the Finance Data Engineering knowledge base.
  • Actively works towards and advises others to ensure the project is being delivered within the assigned timeline and budget.
  • Coordinates the administrative tasks and make sure the team performs them in a timely manner and that information given is detailed and complete. Ensure that the administration is done according to regulations, in order to keep the administration accurate and detailed.

We expect you to have 


  • Overall 5-8 years of data engineering experience.
  • At least 5 years of experience working with Data Warehouse and Data Lake technologies. (SQL Server, Azure Synapse, Databricks, Snowflake or related tools).
  • Experience with ETL tools (Informatica, Data Factory or other).
  • Experience in crafting data pipelines using Python and PySpark.
  • Knowledge of dimensional modelling concepts and best practices.
  • Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
  • Experience in BI tools (Power BI, Tableau, Looker) is a plus.
  • Azure certification is a plus.

Educational Qualification : Bachelor degree in Computer Science or related field.

Does it sound like you? What happens now? 

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.

What will it be like working here?   

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that embraces work-life balance and fosters well-being.  

What do we offer you?   

  • Annual monetary bonus.
  • An opportunity to become a Nasdaq shareholder  
  • Employee Stock Purchase Program Nasdaq stocks with a discount  
  • Health Insurance Program
  • Flexible working schedule and hybrid way of work  
  • Flex day program (up to 6 paid days off a year)  
  • Internal mentorship program – get a mentor or become one
  • Wide selection of online learning resources, e.g., Udemy

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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Tags: Azure Business Intelligence Computer Science Databricks Data pipelines Data warehouse ELT Engineering ETL Finance Informatica Looker Pipelines Power BI PySpark Python Snowflake SQL Tableau Testing

Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Salary bonus

Region: Asia/Pacific
Country: India

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