5-6 years
2 months ago 19 Applied
Job Description

Responsibilities for Lead Data Engineer

Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional
business requirements.
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.
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.

Must haves

Experience with big data tools: Spark (PySpark), SparkSQL Architecture, development and design knowledge.
Experience with relational SQL and NoSQL databases, including Oracle, MySQL, Cassandra etc.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Glue, Athena
Experience with at least one object-oriented/object function scripting languages: Python, Java, Scala, etc.

Experience - 5 to 6 years
Location - HSR Layout, Bangalore

About Recruiter
Ganapathy B B

Functions

Customer Service/Call Centre/BPO,
Finance & Accounts

Industry

Banking/Accounting/Financial Services,
ITES/BPO/Call Center,
KPO/Research/Analytics,
Hospitals/Healthcare/Diagnostics

Skills/Roles

Customer Service,
Technical Support,
Medical Billing,
Finance And Accounts,
Bpo,
Ites,
Call Center

LEVEL HIRING FOR

Junior Level,
Mid Level,
High Level,
Top Management

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