Senior Data Engineer

Job Description: Sr. Data Engineer

We are looking for a curious Data Engineer to join our extremely fast-growing Tech Team at StanPlus

Exp: 5+ Years

Notice:15 days

Work location: Bellandur, Bangalore (WFO)

About StanPlus

 Get to know the team:

Join our team and help us build the world’s fastest and most reliable emergency

response system using cutting edge technology.

Because every second counts in an emergency, we are building systems and flows with 4 9s of reliability to ensure that our technology is always there when people need it the most. We are looking for distributed systems experts who can help us perfect the architecture behind our key design principles: scalability, reliability, programmability and resiliency. Our system features a powerful dispatch engine that connects emergency service providers with patients in real-time

.

Key Responsibilities

●      Build Data ETL Pipelines

●      Develop data set processes

●      Strong analytic skills related to working with unstructured datasets.

●      Evaluate business needs and objectives

●      Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery

●      Interpret trends and patterns

●      Work with data and analytics experts to strive for greater functionality in our data system

●      Build algorithms and prototypes

●      Explore ways to enhance data quality and reliability

●      Work with the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.

●      Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Key Requirements

●      Proven experience as a data engineer, software developer, or similar of at least 3 years.

●      Bachelor's / Master’s degree in data engineering, big data analytics, computer engineering, or related field.

●      Experience with big data tools: Hadoop, Spark, Kafka, etc.

●      Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

●      Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

●      Experience with Azure, AWS cloud services: EC2, EMR, RDS, Redshift

●      Experience with BigQuery

●      Experience with stream-processing systems: Storm, Spark-Streaming, etc.

●      Experience with languages: Python, Java, C++, Scala, SQL, R, etc.

●      Good hands-on with Hive, Presto.

Regards,

Mayur | Talent Acquisition