Recruitment Hub logo

P31C9C-3022 | AWS Senior Data Engineer

Recruitment Hub
Full-time
Remote
Roles & Responsibilities


Design, implement, and improve the analytics platform
Implement and simplify self-service data query and analysis capabilities of the BI platform
Develop and improve the current BI architecture, emphasizing data security, data quality
and timeliness, scalability, and extensibility
Deploy and use various big data technologies and run pilots to design low latency
data architectures at scale
Collaborate with business analysts, data scientists, product managers, software development engineers,
and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,
forecasting, clustering, and machine learning algorithms

Educational
we are building an elite team, ergo we are seeking candidates who possess the
following backgrounds:
7+ years relevant experience
Expert level skills writing and optimizing complex SQL
Knowledge of data warehousing concepts
Experience in data mining, profiling, and analysis
Experience with complex data modelling, ETL design, and using large databases
in a business environment
Proficiency with Linux command line and systems administration
Experience with languages like Python/Java/Scala
Experience with Big Data technologies such as Hive/Spark
Proven ability to develop unconventional solutions, sees opportunities to
innovate and leads the way
Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on
projects involving creation of data lake or data warehouse
Excellent verbal and written communication.
Proven interpersonal skills and ability to convey key insights from complex analyses in
summarized business terms. Ability to effectively communicate with multiple teams

Good to have
AWS/GCP/Azure Data Engineer Certification

Notes:
Nature of work: Perm WFH

Mandatory skills: AWS,Data Engineering,SQL,Python,pySpark

Target Industry/ Company: NA

Notice Period: Immediate- 30 days

Gender Preference: NA

Office Address:

Interview process: 2 Rounds of Interview and 1 Hour Machine Test

Important Notes: Please dont source candidates from JNTU University,Ganit will not consider.
Communication Skills need to be Good