Back
Tier-1 brand, Bangalore metro, common Data Engineer role with broad skill requirements.
Strong financial markets domain knowledge required reduces cross-industry transferability.
Many specific mandatory technologies (Scala, Spark, Cloudera, GCP) and seniority increase filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the end-to-end process of collecting, storing, processing, and analyzing large data sets to support machine learning and analytics systems.
Integrate and maintain big data solutions within the company’s architecture, ensuring scalability and high performance across distributed computing environments.
Lead cross-functional and virtual teams, fostering transparency and collaboration while delivering data engineering solutions under tight deadlines.
Work Experience Required: Not explicitly mentioned in the JD.
Strong technical skills in big data platforms, especially Hortonworks/Cloudera, HDFS, Hive, Spark (PySpark), Scala, and Python (Anaconda environment).
Experience with Continuous Integration/Continuous Deployment tools (e.g., Jenkins/Hudson/Ansible) and Agile methodologies (SCRUM, Confluence/JIRA).
Knowledge of distributed computing principles, scalable application design, and experience integrating multiple large structured and unstructured data sources.
Experience working in financial services domains such as market data, trading, settlements, payments, risk, or pricing with understanding of global markets and macroeconomics.
Demonstrated ability to lead virtual teams and drive collaborative delivery across multiple locations under strict deadlines.
Hands-on expertise in advanced querying, application development using big data tools, Python web frameworks, and cloud platforms like Google Cloud Platform (Data Proc / Dataflow).