Data Engineer

Series 'A' funded Silicon Valley based BI startup

Data Engineer

Qrata

Company

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Data Engineer

at Series 'A' funded Silicon Valley based BI startup

Agency job

via Qrata

4 - 6 yrs

₹30L - ₹45L / yr

Bengaluru (Bangalore)

Skills

Data engineering

Data Engineer

Scala

Data Warehouse (DWH)

Big Data

Spark

SQL

Python

Apache Spark

Amazon Web Services (AWS)

ETL

Linux/Unix

It is the leader in capturing technographics-powered buying intent, helps
companies uncover the 3% of active buyers in their target market. It evaluates
over 100 billion data points and analyzes factors such as buyer journeys, technology
adoption patterns, and other digital footprints to deliver market & sales intelligence.
Its customers have access to the buying patterns and contact information of
more than 17 million companies and 70 million decision makers across the world.

Role – Data Engineer

Responsibilities

 Work in collaboration with the application team and integration team to
design, create, and maintain optimal data pipeline architecture and data
structures for Data Lake/Data Warehouse.
 Work with stakeholders including the Sales, Product, and Customer Support
teams to assist with data-related technical issues and support their data
analytics needs.
 Assemble large, complex data sets from third-party vendors to meet 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, Elasticsearch,
MongoDB, and AWS technology.
 Streamline existing and introduce enhanced reporting and analysis solutions
that leverage complex data sources derived from multiple internal systems.

Requirements
 5+ years of experience in a Data Engineer role.
 Proficiency in Linux.
 Must have SQL knowledge and experience working with relational databases,
query authoring (SQL) as well as familiarity with databases including Mysql,
Mongo, Cassandra, and Athena.
 Must have experience with Python/Scala.
 Must have experience with Big Data technologies like Apache Spark.
 Must have experience with Apache Airflow.
 Experience with data pipeline and ETL tools like AWS Glue.
 Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

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