Hello Friends, I am looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
*Major Duties:* - 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 cloud datastores. - Keep our data separated and secure at rest, inflight and at usage. - 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 analytics teams to strive for greater functionality in our data systems. *Key Knowledge and Required Skills: * - 7+ years of overall industry experience - Bachelor degree in Computer Science or a related discipline - Advanced SQL & experience working with relational and non-relational databases. - Experience building and optimizing big data pipelines, architectures and datasets. - 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. - Working experience on dev-ops ways and demonstrated history deploying production applications on Kubernetes. *Preferred Knowledge and Skills:* - Experience with big data tools: Hadoop, Spark, Kafka, etc. - Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. - Experience with cloud services: (PCF, AWS, Azure, GCP) - Experience with stream-processing systems: Storm, Spark-Streaming, etc. - Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc I have a budget between 40-45 lakhs per annum but for willing to match up for the right skillset. Regards, Bharath _______________________________________________ BangPypers mailing list BangPypers@python.org https://mail.python.org/mailman/listinfo/bangpypers
