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:
- SQL: 2 years (Required)
- AWS: 2 years (Required)
- Redshift: 2 years (Required)
- Big data: 2 years (Required)
Location:
- Bangalore, Karnataka (Required)
Work Location: In person