Data Analyst recruitment in Bangalore - quest global engineering pvt ltd

Essential Duties & 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 NoSQL, SQL and AWS 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.

 Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

 Computer Science degree or equivalent experience.

 3-5 years of experience in data engineering projects in a cross-functional environment, creating

and optimizing data pipeline architecture, as well as ensuring data quality. 

 A master of data querying for relational and/or NoSQL data stores

 Experience with multiple data formats: CSV, JSON, Parquet

 Experience with relational SQL and NoSQL databases, including MongoDB, Redshift and MySQL.

 Experience with AWS cloud services: EC2, S3, Redshift

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Preferred, but not required

 Advanced working SQL knowledge and experience working with relational databases, query

authoring (SQL) as well as working familiarity with a variety of databases.

 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 using Python and Airflow.

 A successful history of manipulating, processing and extracting value from large disconnected

datasets.

 Strong project management and organizational skills.

 Experience supporting and working with cross-functional teams in a dynamic environment.

 Experience with financial data.