Cloud Data Engineer
Cloud Data Engineer
Posted on :
19-06-2024
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
19-06-2024
Job Description
Roles & Responsibilities
About:
We are a digital rst technology services rm specializing in accelerating
business transformation and delivering humancentric 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:
Bachelors 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 problemsolving 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 skillbased development opportunities for
career advancement and access to comprehensive health and wellbeing
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.
mobile,healthcare,data transformation,commerce,databricks environment,enhance the performance of databricks,hadoop,app development,azure,data warehousing,scala,data engineering,aws,etl,cloud,data validation and testing,ux,documentation,ai,spark,gcp,data quality,devops,data,python,bfsi,data validation,sql,iot,pyspark,pysql,data quality and integrity,life sciences,quality engineering,etl tools,cx,analytics,data integration,goldman sachs asset management,everstone capital,databricks,data pipelines
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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