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Databricks Lead Engineer at Remote, Remote, USA
Email: [email protected]
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Job title : Databricks Lead Engineer

Location : Remote

Duration: Long Term

Exp: 12+ Years

Job Description:

Implementing highly performant data pipelines from multiple sources
using Databricks

Skilled in Databricks, Python, Scala, Azure Synapse and Azure Data
Factory

Integrating the end-to-end data pipeline to take data from source
systems to target data repositories ensuring the quality and consistency of
data is always maintained

Develop and deliver documentation on data engineering capabilities,
standards, and processes; participate in coaching, mentoring, design reviews
and code reviews

Working with other members of the project team to support delivery of
additional project components (API interfaces)

Evaluating the performance and applicability of multiple tools against
customer requirements

Working within an Agile delivery / DevOps methodology to deliver proof
of concept and production implementation in iterative sprints.

Integrate Databricks with other technologies (Ingestion tools,
Visualization tools).

Knowledge, Skills and Abilities:

7+ years relevant and progressive data engineering experience

Deep Technical knowledge and experience in Databricks, Python, Scala,
Microsoft Azure architecture and platform including Synapse, ADF (Azure Data
Factory) pipelines and Synapse stored procedures

Hands-on experience working with data pipelines using a variety of
source and target locations (e.g., Databricks, Synapse, SQL Server, Data Lake,
file-based, SQL and No-SQL database)

Experience in engineering practices such as development, code
refactoring, and leveraging design patterns, CI/CD, and building highly
scalable data applications and processes

Knowledge of advanced data engineering concepts such as dimensional modelling,
ETL, data governance, data warehousing involving structured and unstructured
data

Thorough knowledge of Synapse and SQL Server including T-SQL and stored
procedures

Experience working with and supporting cross-functional teams in a
dynamic environment

A successful history of manipulating, processing and extracting value
from large disconnected datasets.

Databricks & Azure Big Data Architecture Certification would be
plus

Must be team oriented with strong collaboration, prioritization, and
adaptability skills required

"Self-starter" attitude and the ability to make decisions
with minimal guidance from others

Innovative and passionate about your work and the work of your
teammates

Ability to comprehend and analyse operational systems and ask
appropriate questions to determine how to improve, migrate or modify the
solution to meet business needs

Knowledge of the Agile development process

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Keywords: continuous integration continuous deployment information technology Idaho
Databricks Lead Engineer
[email protected]
[email protected]
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Thu Apr 18 20:27:00 UTC 2024

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