As a data engineer, you’ll have to create and maintain the optimal data pipeline architecture.
Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Key Responsibilities:
1. Assemble large, complex data sets that meet functional / non-functional business
requirements.
2. optimizing data delivery, re-designing infrastructure for greater scalability, etc.
3. 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.
4. acquisition, operational efficiency and other key business performance metrics.
5. Work with stakeholders including the Executive, Product, Data and Design teams to assist
with data-related technical issues and support their data infrastructure needs.
6. data-related technical issues and support their data infrastructure needs.

7. Keep our data separated and secure across national boundaries through multiple data
centers and Create data tools for analytics and data scientist team members that assist
them in building.

Requirements:
1. candidate with 3-4 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.
2. Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and
Cassandra, AWS Redshift, Snowflake
3. Strong analytic skills related to working with unstructured data sets.
4. Working knowledge of message queuing, stream processing, and highly scalable ‘big
data’ data stores.
5. Experience with : Hadoop, Spark, Kafka, Azkaban, Luigi, Airflow.
6. Experience with object-oriented/object function scripting languages: Python, Java, etc.

Job Location:
Chennai, India