Hi, Hope this day treats you well
Please find the below requirement and let me know if you are interested *Position: Data Engineer* *State*: CA *Location*:Onsite Responsibilities: Minimum 6 years of Data Engineering experience and 3 years in large scale Data Lake ecosystem • Proven expertise in Databricks, Spark Python/SQL, Scala • Have worked on multiple TBs/PBs of data volume from ingestion to consumption • Work with business stakeholders to identify and document high impact business problems and potential solutions • First-hand experience with the complete software development life cycle including requirement analysis, design, development, deployment, and support • Advanced understanding of Data Lake/Lakehouse architecture and experience/exposure to Databricks techniques • Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability • Have worked on telemetry, logs and real time data ingestion though API • Experience with analytics/visualization toolsets • Solid understanding of advanced data science/engineering Strong computer science fundamentals and good working knowledge of Scala, Python, Hive • Good design and architectural skills to build microservices • Strong Python and/or SQL skills Ability to manipulate JSON/XML data and exposure with other data manipulation platforms • Basic to advanced understanding of big data technologies such as Spark, Kafka, Airflow, APIs • Basic to advanced understanding of ML Ops techniques such as supervised or unsupervised learning • You are very motivated, highly passionate, and curious about new technologies. You take pride in your work and strive to achieve incredible results and possess excellent communication and planning skills. • Ability to work independently and handle your own development effort. • Excellent oral and written communication skills Learn and use internally available analytic technologies • Build models at scale using vast amounts of structured and unstructured heterogeneous types of data • Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions Use educational background in data engineering and perform data mining analysis • Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points • Engage in the delivery and presentation of solutions Participate in data storage architecture design discussions • Apply machine learning and/or statistical techniques to time series classification and telemetry anomaly detection problems • Hands on Data Engineering and agile software development environment. • Experience with Cloud Platform like AWS, experience with Kubernetes • Knowledgeable about the latest data analytics tools, machine learning, and how NVIDIA platforms are being used for data analytics. • Working knowledge of Tableau/PowerBI Regards ALAGESHWARAN T Talent Acquisition Specialist [image: Email] : alageshwara...@qbrainx.com [image: Profile] : LinkedIn Profile <https://www.linkedin.com/in/alagesh-waran11/> -- You received this message because you are subscribed to the Google Groups "project managment" group. To unsubscribe from this group and stop receiving emails from it, send an email to project-managment+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/project-managment/CAGEUQeuHr%2BZd5pcKP%2BNpQmbV3EGhmLrsoj5wsS1YshOPDjKhbg%40mail.gmail.com.
