Hiring - Data Engineer - Day one from onsite - CA

[Alagesh waran]

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

: alagesh...@qbrainx.com  : LinkedIn Profile