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Adenza

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3.8

based on 61 Reviews

55 Adenza Jobs

Lead Data Engineer (Databricks/AWS)

Calypso Technology India Pvt. Ltd.

3.8

based on 61 Reviews

10-12 years

Bangalore / Bengaluru

1 vacancy

Lead Data Engineer (Databricks/AWS)

Adenza

posted 3d ago

Job Role Insights

Flexible timing

Key skills for the job

Digital Marketing Computer Science Python SQL Analytical Chemistry Informatica

+ 4 more

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. 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.

Description

Mentors 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.
Develops 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.

Expectations

At least 10-12 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.

Valuable additional experience