Data Engineer
Data Engineer
Posted on :
14-01-2025
Employer Active
1 Vacancy
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Job Description
This is a remote position.
Job role Data Engineer
Exp Requried
Exp Requried
- Experience:
- 5 to 6 years if all mentioned skills are met.
- Otherwise consider resources with 7 to 8 years of experience.
- Job Location Remote
6 month contractual Job
- Data Engineer (Remote)
- Mandatory Skills:
- Cloud (AWS Databricks)
- Data pipeline
- Solutioning
- Python SQL and Apache Spark
- Cloud testing experience
Requirements
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate
will have expertise in designing building and maintaining robust data architectures across
multicloud environments. You will work closely with data scientists business experts and
IT teams to deliver scalable analytics solutions that drive business value .
Key Responsibilities:
1. Cloud Architecture & Analytics
o Design and implement multicloud mixed and cloudagnostic data and
analytics architectures.
o Build and manage scalable data pipelines on platforms like AWS and Azure
Databricks.
o Automate data preparation and integration tasks to streamline processes
and enhance productivity.
2. Data Integration & ETL Development
o Develop standards data mappings and ETL functions using various tools
and programming languages.
o Design and implement highvolume data ingestion and realtime streaming
pipelines.
o Work with IT teams to model and integrate application data structures into
data warehouses or data lakes.
3. Collaboration & Prototyping
o Collaborate with data scientists and business experts to develop validate
and operationalize analytics solutions.
o Partner with Data Science and Data Governance teams to optimize models
for data quality security and governance.
4. Testing & Monitoring
o Develop and maintain test cases run test plans and operationalize test
scenarios.
o Implement automated testing and continuous monitoring for data
architectures and pipelines.
INTERNAL
5. Infrastructure & Best Practices
o Renovate and modernize data management infrastructure to support
automation and track data consumption effectively.
o Establish and promote best practices for analytics production data
architectures and pipeline development.
Preferred Skills:
Proven experience in implementing multicloud or cloudagnostic data
architectures.
Proficiency in data engineering tools and frameworks (e.g. Databricks Apache
Spark AWS Glue Azure Data Factory).
Strong programming skills in Python SQL or other relevant languages.
Experience with ETL processes data modeling and realtime data streaming.
Familiarity with automated testing and monitoring for data systems.
Excellent collaboration skills with crossfunctional teams including data science
and IT teams.
Preferred Qualifications:
Knowledge of data governance principles and frameworks.
Handson experience with data lakes and data warehouses (e.g. Snowflake
Redshift Synapse).
Certification in cloud platforms such as AWS Azure or GCP.
Experience with DevOps practices for data engineering.
Benefits
Why Join Us
Opportunity to work on cuttingedge technologies in data and analytics.
Collaborative and innovative work environment.
Professional development and growth opportunities
Mandatory Skills: Cloud (AWS, Databricks) Data pipeline Solutioning Python, SQL, and Apache Spark Cloud testing experience
Education
Any
Employment Type
Full Time
Key Skills
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