Data Engineer

1 month ago


Pune, India Gethyr Full time

Responsibilities :


- Design, build, and operationalize large-scale enterprise data solutions and applications using one or more AWS data and analytics services in combination with 3rd parties Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, and Glue.


- Build data pipeline frameworks to automate high-volume and real-time data delivery.


- Create prototypes and proof-of-concepts for iterative development.


- Experience with NoSQL databases, such as DynamoDB, MongoDB, etc.


- Create and maintain optimal data pipeline architecture, 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.


- Evangelize a very high standard of quality, reliability, and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow.


- Build and enhance data pipeline architecture by designing and implementing data ingestion :


- Experience with ETL, Data Modeling, and Data Architecture.


- Experience with AWS cloud data lake for the development of real-time or near-real-time use cases.


- Experience with messaging systems such as Kafka/Kinesis for real-time data ingestion and processing.


Location : Pune

(ref:hirist.tech)
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