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Lead, Data Engineering

Flexi Careers
Location: Bengaluru, Experience: 14 years - 20 years
Posted On: 02-Dec-2022 | Last Date to Apply: 31-Jan-2023 | No: of Vacancies : 1

Company Profile:

Avtar enables high growth organizations to focus sharply on effective and sustainable talent strategies to make the workplace more inclusive Avtar has helped MNCs and Large Indian Conglomerates to structure and implement sustainable Diversity Inclusion programs

Job description:

 
Role Responsibilities 
As a Data Engineering lead, you will be responsible for building and expanding our data architecture on
Hadoop platforms. You will have typically > 15 years of experience with significant experience in data
solutions on Hadoop, Java/Scala programming and software design and architecture.
 
Key Responsibilities
∙Create and maintain the bank’s data pipeline and platform architecture
∙Assemble large, complex data sets that meet functional / non-functional business requirements
∙Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
∙Build monitoring/alerting tools & frameworks using OSS technologies for doing key
business/technical performance metrics.
∙Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
∙Keep our data separated and secure across national boundaries through multiple data-center.
∙Help ‘commercialize’ the data platform by working closely with the Data Science team in exploring
opportunities, be it fighting fraud or developing multi-channel cross-sell/up-sell initiatives
 
Requirements
∙Strong analytic skills related to working with unstructured datasets.
∙Ability to quickly learn and implement newer technologies, particularly on the Big Data side
including HIVE, HBase, Kafka, Spark and Nifi
∙Exposure to data pipelines, architectures and data sets
∙Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
∙Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
∙Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data
stores.
  

Key Qualifications

Bachelors

Skills

Data Engineering,

Industry

Banking/Financial Services/Broking

Gender Preference:

Female

Job Type:

Full Time

Diversity Tags:

Not Applicable