Job Title: Data Analyst
Experience:
5-7 years
Notice
Period: Immediate to 15 days
Location: Chennai
JD:
Skillset:
GCP Data Lake skills, Spark, scala, Python, Big Query
Responsibilities:
· Create and maintain optimal data
pipeline 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 the infrastructure required
for optimal extraction, transformation, and loading of data from a wide variety
of data sources using SQL and AWS big data technologies.
· Build analytics tools that utilize
the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business 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 centers and AWS regions.
· Create data tools for analytics and
data scientist team members that assist them in building and optimizing our
product into an innovative industry leader.
· Work with data and analytics experts
to strive for greater functionality in our data systems.
Qualifications:
· Advanced working SQL knowledge and
experience working with relational databases, query authoring (SQL) as well as
working familiarity with a variety of databases.
· Experience building and optimizing big
data 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.
· Strong analytic skills related to
working with unstructured datasets.
· Build processes supporting data
transformation, data structures, metadata, dependency and workload management.
· A successful history of
manipulating, processing and extracting value from large disconnected datasets.
· Working knowledge of message
queuing, stream processing, and highly scalable big data data stores.
· Strong project management and
organizational skills.
· Experience supporting and working
with cross-functional teams in a dynamic environment.
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