Python Data Engineer

Overview

Role Summary:

• 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.

Responsibilities for Data Engineer:

• 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.

Skills– REQUIRED:

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

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 wit

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 externa

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 valu

from large disconnected datasets.

 Working knowledge of message queuing, stream processing, an

highly scalable ‘big data’ data stores.

 Strong project management and organizational skills

 Experience supporting and working with cross-functional teams in

dynamic environment.

Technologies –Required:

 Experience with big data tools: ElasticSearch and Redshif

 Experience with relational SQL and NoSQL databases, includin

Oracle and Redshift

 Experience with data pipeline and workflow management tools

especially Airflow.

 Experience with AWS cloud services: EC2, EMR, RDS, Redshif

 Experience with object-oriented/object function scripting languages

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

Experience with data visualisation tools such as Quicksight, 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 - ₹1,500,000.00 per year

Experience:

• Big data: 2 years (Preferred)
• SQL: 2 years (Preferred)
• AWS: 2 years (Preferred)
• Redshift: 2 years (Preferred)

Location:

• Bangalore, Karnataka (Preferred)

Work Location: In person