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Wizaltia HR Solutions

Cloud Data Engineer

Early Applicant
  • 5 months ago
  • Be among the first 50 applicants

Job Description

About

Roles & Responsibilities

We are a digital- rst technology services rm specializing in accelerating

business transformation and delivering human-centric digital experiences.

We have been meeting customers wherever they are in the digital lifecycle

and helping them outperform their competition through speed and

innovation. We brings together distinct core competencies in AI,

analytics, app development, cloud, commerce, CX, data, DevOps, IoT,

mobile, quality engineering and UX, and our deep expertise in BFSI,

healthcare, and life sciences -to help businesses capitalize on the unlimited

opportunities digital offers. Our reputation is built on a comprehensive

suite of engineering services, a dedication to solving clients toughest

technology problems, and a commitment to continuous improvement.

Backed by Goldman Sachs Asset Management and Everstone Capital,

now has a global presence of 15 of ces (and 10 delivery centers)

across four continents.

Requirements

Design, develop, and maintain scalable data pipelines and ETL

processes using Databricks and PySpark.

Implement data transformation and integration processes using

PySQL.

Optimize and enhance the performance of Databricks

environment.

Collaborate with data scientists, analysts, and business

stakeholders to understand data requirements and deliver

effective solutions.

Ensure data quality and integrity through robust data validation

and testing procedures.

Develop and maintain comprehensive documentation for data

systems and processes.

Quali Cations

Bachelor's degree in Computer Science, Information Technology,

or a related eld.

3+ years of experience in data engineering or a similar role.

Strong expertise in Databricks, including the use of PySpark and

PySQL.

Pro Cient In SQL And Experience With Other Programming

languages such as Python.

Familiarity with ETL tools and data integration techniques.

Experience with cloud platforms (e.g., AWS, Azure, GCP) and

related services.

Solid understanding of data warehousing concepts and best

practices.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Our Perks And Bene Ts

Our bene ts and rewards program has been thoughtfully designed to

recognize your skills and contributions, elevate your learning/upskilling

experience and provide care and support for you and your loved ones. As

an Apexer, you get continuous skill-based development, opportunities for

career advancement, and access to comprehensive health and well-being

bene ts and assistance.

We Also Offer

Group Health Insurance covering family of 4

Term Insurance and Accident Insurance

Paid Holidays & Earned Leaves

Paid Parental LeaveoLearning & Career Development

Employee Wellness

Notes from Hiring Manager

Design, develop, and maintain scalable data pipelines and ETL processes

using Databricks and PySpark.

Implement data transformation and integration processes using PySQL.

Optimize and enhance the performance of Databricks environment.

Collaborate with data scientists, analysts, and business stakeholders to

understand data requirements and deliver effective solutions.

Ensure data quality and integrity through robust data validation and

testing procedures.

Develop and maintain comprehensive documentation for data systems

and processes.

Skills: gcp,sql,mobile,ux,ai,etl,devops,azure,python,iot,documentation,databricks,cloud,healthcare,pysql,data,commerce,analytics,bfsi,pyspark,aws,cx,life sciences,etl tools,quality engineering,app development,databricks environment,everstone capital,data warehousing,data validation,data validation and testing,goldman sachs asset management,data quality and integrity,enhance the performance of databricks,hadoop,scala,spark

More Info

Industry:Other

Function:data engineering

Job Type:Permanent Job

Skills Required

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Date Posted: 19/06/2024

Job ID: 82334531

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