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You hear people say “follow your dreams” all the time but how many people do you know that actually do so? Sometimes you get caught in a job that you do not want to do because of certain reasons. You might even end up choosing a career that you never wanted to pursue. If you wish to l.....
Profile Description -Why work with us ?- Engineering team consisting of past startup founders, IIT alumni and serial hackathon winners- High standard of engineering quality and opportunity to work on a cutting edge tech stack- Solve unique scalability challenges- Learn how the India lending system works on the inside- High impact role at fast paced growth companyAs a Data Engineer you will -- 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.Qualifications for a Data Engineer -- 3+ years of experience in a Data Engineer role- 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- A successful history of manipulating, processing and extracting value from large disconnected datasets- Working knowledge of message queuing, stream processing, and highly scalable , big data , data stores- 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 AWS cloud services: EC2, EMR, RDS, Redshift, Kinesis- Experience with stream-processing systems: Storm, Spark-Streaming, etc- Experience with object-oriented / object function scripting languages: Python, Java, C++, Scala, etc
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