Data Analyst

Overview

Job Title &

department:

Python Data Engineer

Skills– REQUIRED:

Technologies –

Required:

We are looking for a savvy Data Engineer to join our growing team of

analytics experts. The hire will be responsible for expanding and

optimizing our data and data pipeline architecture, as well as

optimizing data flow and collection for cross functional teams. The

ideal candidate is an experienced data pipeline builder and data

wrangler who enjoys optimizing data systems and building them from

the ground up. The Data Engineer will support our software

developers, data analysts and data scientists on data initiatives and

will ensure optimal data delivery architecture is consistent throughout

ongoing projects. They must be self-directed and comfortable

supporting the data needs of multiple teams, systems and products.

The right candidate will be excited by the prospect of optimizing or

even re-designing our company’s data architecture to support our next

generation of products and data initiatives.

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.

We are looking for a candidate with 1to 4 years of experience in a

Data Engineer role, who has attained a Graduate degree in Computer

Science, Statistics, Informatics, Information Systems or another

quantitative field. They should also have experience using the

following software/tools:

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.

Experience with big data tools: Elastic Search and Redshift

Experience with relational SQL and NoSQL databases, including

Oracle and Redshift

Experience with data pipeline and workflow management tools:

especially Airflow.

Experience with AWS cloud services: EC2, EMR, RDS, Redshift

Experience with object-oriented/object-function scripting languages:

Python, Java, C++, Scala, etc.

Experience with data visualization tools such as Quick sight, looker or

Sisense

Personal attributes

The successful candidate will be comfortable working autonomously and

independently. A clear, logical thinker with a proactive approach to problem-

solving.

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Schedule:

• Day shift

Application Question(s):

• Do you know redshift or elastic search?

Experience:

• Python: 3 years (Preferred)
• Data Engineer: 3 years (Preferred)
• Advanced SQL: 3 years (Preferred)
• AWS: 3 years (Preferred)

Location:

• Bangalore, Karnataka (Preferred)

Work Location: In person