summary

singapore
randstad pte limited
S$7,000 - S$9,000 per month, Bonus
permanent
full-time

job category
information technology

job details

# Opporutnity to work in a leading team
# diversified culture
# good learning & growth opportunities

about the company
Our client is a leading oil & gas organization.
...

about the job

Design, develop, and maintain robust, scalable and sustainable data products and build & optimize data pipeline and infrastructure.
Collaborate with stakeholders to understand their data requirements and translate them into technical solutions.
Identify and implement data quality monitoring and validation processes to ensure data integrity.
Implement data quality frameworks and ensure data governance best practices, including data lineage, data documentation, and data security.
Build out the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Synapse, ADF, Spark, Kafka, or similar technologies.
Work closely with Data Analysts and Data Architect to support their data needs and enable advanced analytics and machine learning initiatives.
Contribute to the development of the organization's data strategy, including evaluating new technologies, tools, and frameworks to enhance the data engineering ecosystem.

skills and experience required

4- 8 years to total IT experience preferably in field of data engineering
4+ years’ experience with Azure services including IAM, Synapse, DataLake, SQL Server, ADF etc.
2+ years’ experience in creating and deploying docker containers on Kubernetes.
2+ years’ experience in supporting development teams on Kubernetes best practices, troubleshooting, and performance optimization.
2+ years’ experience with CI/CD pipelines toll such as Jenkins and GitHub Actions
2+ years’ experience with Synapse data warehousing and data lake solutions
Strong programming skill in Python, PySpark and SQL
4+ years of experience in scripting and automation using languages such as Bash, Python, or Go
2+ years of experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).

To apply online please use the 'apply' function
(EA: 94C3609/ R1324990)

# Opporutnity to work in a leading team
# diversified culture
# good learning & growth opportunities

about the company
Our client is a leading oil & gas organization.
...

about the job

Design, develop, and maintain robust, scalable and sustainable data products and build & optimize data pipeline and infrastructure.
Collaborate with stakeholders to understand their data requirements and translate them into technical solutions.
Identify and implement data quality monitoring and validation processes to ensure data integrity.
Implement data quality frameworks and ensure data governance best practices, including data lineage, data documentation, and data security.
Build out the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Synapse, ADF, Spark, Kafka, or similar technologies.
Work closely with Data Analysts and Data Architect to support their data needs and enable advanced analytics and machine learning initiatives.
Contribute to the development of the organization's data strategy, including evaluating new technologies, tools, and frameworks to enhance the data engineering ecosystem.

skills and experience required

4- 8 years to total IT experience preferably in field of data engineering
4+ years’ experience with Azure services including IAM, Synapse, DataLake, SQL Server, ADF etc.
2+ years’ experience in creating and deploying docker containers on Kubernetes.
2+ years’ experience in supporting development teams on Kubernetes best practices, troubleshooting, and performance optimization.
2+ years’ experience with CI/CD pipelines toll such as Jenkins and GitHub Actions
2+ years’ experience with Synapse data warehousing and data lake solutions
Strong programming skill in Python, PySpark and SQL
4+ years of experience in scripting and automation using languages such as Bash, Python, or Go
2+ years of experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).

To apply online please use the 'apply' function
(EA: 94C3609/ R1324990)

skills
Azure services including IAM, Synapse, DataLake, SQL Server, ADF
qualifications
Bachelor's degree holder in IT / Accounting / Engineering or any other relevant field.
education
Bachelor Degree

apply with randstad.
Applying with us is easy. We will review your application and see if you are a good fit for the job and the company.
we'll give you a call.
Our consultant will call you at a suitable time to discuss your application and further career aspirations.
getting you registered.
If you’ve never worked with us before, we’ll need some basic additional pieces of information to confirm your eligibility for work.
compliance check.
Next, we just need to verify a few things - we’ll make the relevant compliance checks and keep you posted.
reference and background check.
As part of the process in ensuring you’re perfect for the role, we’ll make contact with any relevant references you’ve provided.
the perfect job for you.
Our expert team will either arrange an interview for the role you’ve applied for, or if they believe there’s a better opportunity, they’ll suggest alternative options too.
the interview.
We’ll ensure that you’re fully prepared ahead of your interview and know exactly what to expect - good luck!
start your new job.
Congratulations, you’re ready to begin your new job. The team will ensure that you’re fully prepared for your first day.

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sr. data engineer (1 yr renewable).

job details

skills

qualifications

education

the application process.

apply with randstad.

we'll give you a call.

getting you registered.

compliance check.

reference and background check.

the perfect job for you.

the interview.

start your new job.

related jobs.

it engineer / it specialist - helpdesk inhouse

systems engineer (linux/unix)

endpoint lead engineer – cyber security

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