Hello,

Hope you are doing good.

We have an immediate opening for the below position, kindly let me know
your interest with your updated resume at *bhara...@accurogroup.com
<bhara...@accurogroup.com>*.





*Location : Remote  / CA*

*Data framework engineer *



In this role, you will be responsible for expanding and evolving the data
pipeline framework of a cloud based data platform. The ideal candidate will
have experience moving and processing large volume of data across on
premise and cloud environments in a secure manner. The framework engineer
will support software developers, data architects, data analysts and
business users to get the most value out of the platform with minimal
friction. The candidate must be self-directed with ability to own and
execute the platform improvement activities while collaborating with other
team members and stakeholders.



8-10 years of Python development experience including setting up
development environments, using code repository such as BitBucket,
requesting and performing pull requests, configuring Python libraries and
more required.

8-10 years of experience in building and maintaining data platforms, ETL
processes and connected sources and targets required

8-10 years of experience in architecture, designing and operationalizing
data lakes, data warehouses and data marts, data layering, data
virtualization/physicalization, data normalization/denormalization, data
storage and movement patterns, data supply chains, and data catalogs

5-7 years of hands on experience in deploying and running data pipelines on
Amazon Web Services (AWS) required

5-7 years of experience with reference data management, metadata
management, party data management, and source and target management.

5-7 years of experience generating extracts from the data warehouse for
downstream systems, putting data securely in the hands of the business, and
configuring and optimizing fine grained entitlements (role based and
attribute based security).

5-7 years of hands on experience using Hive, AWS S3, AWS step functions,
and cloud watch.

3-5 years of performance measurement and tuning experience preferred



Experience in the financial services or banking industry required



Experience implementing enterprise systems with security best practices and
site reliability engineering principles.

Proficient in Structured Query Language (SQL)



Deep understanding of the design and development considerations around data
partitioning, job scheduling, data versioning, data import/export,
archival, and schema management



Deep understanding of data partitioning and its impact on query performance.



Strong understanding of data read and write performance and impact of data
storage and movement patterns on the performance



Strong foundation in the following AWS Cloud Services: S3, CloudWatch, EMR
(Hive), Glue and Glue catalog, Redshift Spectrum, EC2, StepFunctions



Experience creating data warehouses that process large volume of data in a
specific time window.



Experience merging, separating, and sunsetting data warehouses.



Experience in developing and automating data pipeline and deployment in ETL
tools, SQL, Python, Spark, or related framework.



Experience supporting non-production data environments to support testing
of various functional and non-functional usages and requirements.

Must have system design thinking, ability to plan and author technical
documents. Require problem solving, and prioritization skills. Need ability
to articulate new ideas and explain them to all level in the organization.



Study the current state implementation of the data lake, data warehouse,
and data marts; recommend a future state and a path to migration that is
least impactful to the business and the current production workloads.



Implement the best practices and design patterns for the data lake,
enterprise data warehouse, and domain specific data marts.



Enable data self-service through a published catalog of data. Implement
fine grained entitlements and operational reporting of the entitlements to
ensure data is only accessed by the right person with the right role on a
need to know basis.



Help implement encryption, obfuscation and other security best practices to
meet all organizational data security policies and guidelines.



Design, build, automate data pipeline, testing systems, event monitoring
and notifications







*Bharat Chhibber | Sr. Technical Recruiter*

*Direct: 919 626 9615 | EMAIL bhara...@accurogroup.com
<bhara...@accurogroup.com>*

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