Data Engineer

Full Time in IT Software Engineer
  • Delhi View on Map
  • Post Date : February 14, 2021
  • Apply Before : December 14, 2021
  • Salary: ₹80,000.00 - ₹100,000.00 / Monthly
  • Applications 0
  • View(s) 51
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Job Detail

  • Qualification Graduation

Job Description

Job Title : Data Engineer
Job Location: Delhi
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.. He/ She must be self-directed and
comfortable supporting the data needs of multiple teams, systems and products.
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 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 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.
Required Skills
5+ 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. Should also have experience using the following software/tools:
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with object-oriented/object function scripting languages: Python, Java, C++,
Scala, etc.
Experience with data pipeline and workflow management tools
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
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.
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.

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