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Databricks Data Engineer || Remote at Remote, Remote, USA
Email: [email protected]
Greeting,

Hope doing well

My name is Ankit Kumar,
a Sr. Technical Recruiter with Silverlink
Technologies. We are looking for a suitable candidate for the
position, I came across your resume and found this a perfect fit for this role.
I would appreciate it if you can provide the best time and number to reach you
to discuss this further.

Databricks Data Engineer

Location : remote

Client: HCL

Experience: 12+ years

Rate $55/hr. on CTC

Job Title/Role

Databricks Data Engineer

Mandatory Skills

Responsible for designing, implementing, and optimizing
data pipelines and workflows using Databricks and other data engineering
tools;  Work closely with cross-functional teams to ensure data
integrity, performance, and scalability, enabling the organization to make
data-driven decisions

Client Interview Needed for Selection (Yes / No)

Yes

Job Description

As a Databricks Data Engineer, you will be responsible for
designing, implementing, and optimizing data pipelines and workflows using
Databricks and other data engineering tools. You will work closely with
cross-functional teams to ensure data integrity, performance, and
scalability, enabling the organization to make data-driven decisions.Key
Responsibilities: Design, develop, and maintain data pipelines and ETL
processes using Databricks, Spark, and other data engineering tools.
Implement and report on business key performance indicators (KPIs) in data
warehousing environments. Utilize analytic SQL to work with traditional
relational databases and distributed systems. Collaborate with data
scientists, analysts, and other stakeholders to understand data requirements
and deliver solutions. Optimize data workflows for performance, scalability,
and reliability. Develop and maintain documentation for data engineering
processes and solutions. Ensure data quality and integrity through rigorous
testing and validation.

Preferred Qualifications: 4+ years of work experience implementing and
reporting on business key performance indicators in data warehousing
environments. 4+ years of experience using analytic SQL, working with
traditional relational databases and/or distributed systems. 3+ years of
experience with programming languages such as Python and PySpark. 3+ years of
experience with data orchestration/ETL tools. 2+ years of experience with Databricks/Spark
and Power BI. 2+ years of experience with X12 EDI. 2+ years of experience
with Azure.Skills and Competencies: Strong understanding of data warehousing
concepts and best practices. Proficiency in SQL and experience with
relational databases. Expertise in programming languages like Python and
PySpark. Experience with data orchestration tools and ETL processes.
Familiarity with Databricks, Spark, and Power BI. Knowledge of X12 EDI
standards in healthcare domain. Excellent problem-solving skills and
attention to detail. Strong communication and collaboration skills. (1.) To
be responsible for providing technical guidance to a team of developers,
enhancing their technical capabilities and increasing productivity. (2.) To
conduct comprehensive code reviews, establish and oversee quality assurance
processes, performance optimization , implementation of best practices and
coding standards to ensure succeful delivery of complex projects. (3.) To
ensure process compliance in the assigned module, and participate in
technical discussionsorreview as a technical consultant for feasibility study
(technical alternatives, best packages, supporting architecture best
practices, technical risks, breakdown into components, estimations). (4.) To
collaborate with stakeholders to define project scope, objectives,
deliverables and accordingly prepare and submit status reports for minimizing
exposure and closure of escalations.

Thanks & Regards

Ankit Kumar

Team Lead

[email protected]

https://www.linkedin.com/in/ankit-kumar-6300111a1/

Silverlink 
Technologies Pvt Ltd

www.silverlinktechnologies.com

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Keywords: business intelligence information technology
Databricks Data Engineer || Remote
[email protected]
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Fri Sep 13 17:38:00 UTC 2024

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