Big Data Practice Lead@immeidate interveiw

[Rakesh y]

Hi All

If you had any resources for below Jd please share it to ryadl...@computomic.com

ROLE:Big Data Practice Lead

Experience: 15+ years
Location: New Jersey /Remote. United States

Come join us and help build one of the most impactful Big Data practices in the industry!.
We make quick decisions and adapt to the changing market and customers’ needs. Our
team has lots of autonomy and flexibility to forge their own paths.
We are one of the fastest growing services partners for Databricks and are seeking to hire a
Big Data Practice Lead to join our team. You will have the opportunity to shape the future
of the big data landscape at leading Fortune 500 companies and cutting-edge startups. You
will work on the industry’s most challenging customer engagements to solve big data
problems using leading cloud platforms such as AWS/Azure/GCP, Apache Spark and
Databricks.

What you will
be doing

1. Lead our rapidly growing Big Data practice
2. Hire, train and develop highly differentiated and diverse team
of Big Data experts
3. Work directly with end customers and lead enterprise scale big
data projects
4. Provide thought leadership in the areas of master data
management, data modeling, data governance, data
transformations, curation and data integration
5. Develop data architecture blueprints, patterns and
frameworks that will enable reuse and standardization
6. Grow your practice by influencing sales deals and assist with
scoping, solutioning and estimating effort
7. Lead efforts to develop reusable frameworks, accelerators and
internal product development

The skills you
will bring

1. Deep understanding and experience working with modern
cloud data architectures and engineering for one or more of
the following cloud providers - AWS, Azure or GCP
2. Strong abilities to provide a firm point of view on core cloud
platform capabilities, security, and best practices
3. Knowledge of cloud and Big Data ecosystems to advise clients
on optimal solutions and best practices
4. Familiarity with cloud native technologies is a big plus - CI/CD,
cloud devops, containers (kubernetes/docker, etc.), Python /
PySpark / JavaScript
5. Understanding of cloud data architecture and data integration
patterns (Databricks, Starburst, Azure Data Factory, AWS Glue
and others), storage and processing (Redshift, Azure Synapse,
BigQuery, Snowflake); Infrastructure as code (CloudFormation,
Terraform)
6. Understanding of enterprise data concepts such as Master
Data Management and Enterprise Data Warehouse,
experience with MDM standards

7. Understanding of SQL, report generation using visualization
tools such as Tableau/Power BI, programming using
Python/Scala/Spark
8. Ability to identify, debug bottlenecks and significantly optimize
slow running data pipelines
9. Experience migrating applications from legacy Hadoop or Data
Warehouses to the cloud running Apache Spark or Databricks a
huge plus

Other nice to
have skills:

1. You bring an uncompromising Growth mindset
2. Demonstrating prior Big 4 or proven consulting experience in
strategy through execution projects is a plus
3. Experience leading and working with large Cloud Data
Platform, Cloud Data migration or Enterprise Information
Management programs
4. You are highly motivated, creative in your approach to
technical problems and know how to leverage both internal
and external networks
5. You invest in keeping technical skills updated and are
constantly looking for the next big challenge
6. You will bring both broad and deep knowledge in Data
Engineering and can architect a solution by mapping a
customer business problem to an end-to-end solution.
7. You are resourceful, confident and composed under pressure

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Thanks & Regards....

Rakesh