Hello there,

Hope the day is treating you well,



I have an excellent career opportunity that I believe you would have some
consultants. I have provided the position description below for your
review. If you are qualified, available, interested, planning to make a
change, or know of a friend who might have the required qualifications and
interest, please call me at (415) 799-3724. If you do respond via e-mail
please include a daytime phone number so I can reach you.



*Role: Big Data Engineer*

*Location: SFO, CA*

*Duration: 12+ Months*

*Interview: Phone, WebEx*



*Total No of Positions: 20*

*2 **Positions for Architect (10 + years’ experience).*

*3 **Positions for Tech Lead (7+ years’ experience).*

*15 **Positions for Engineers / Sr. Engineers (5+ years’ experience).*



Job Details:

● Build scalable data pipelines on top of Hive and Spark using the Airflow
scheduler/executor framework.

● Collaborate with Payments Engineering, Data Science, FP&A, Accounting,
and Product Management to produce accurate and timely financial data.

● Apply Machine Learning models to forecast and visualize key revenue
metrics and trends.

● Anomaly detection and analysis for payments integrations, processing, and
processor reconciliation.

● 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.

● Craft 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.

The following experience is meaningful to us:-

● Proficient understanding of distributed computing principles.

● Experience with building stream-processing systems, using solutions such
as Storm or Spark-Streaming.

● ETL or Pipeline design/implementation with Large Distributed Databases
(Hive/Spark/Scala preferred).

● Experience in data validation, sampling & regression tests.

● Pipeline stability and performance tuning.

● Working knowledge of relational databases and query authoring (SQL).

● Experience with Spark / Scala / Java is helpful.

● Love to use and develop open source technologies like Kafka, Hadoop,
Hive, Presto, and Spark.

● Rigor in high code quality, automated testing, and other engineering
standard methodologies.

● Payment data processing or system design knowledge is a plus (not
required).

● Experience with NoSQL databases, such as HBase or Cassandra is a plus
(not required).

● Outstanding interpersonal skills.

● BS/MS/PhD in Computer Science or a related field (ideal).



*Best Regards,*



*Sam Nelson*

*Optimum Technologies & Services LLC.*

*Telephone*: (415) 799-3724

*Email*: [email protected]

*URL*: www.optimumtechno.com

5131 Basilica Drive, Stockton,

CALIFORNIA – 95207, USA

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