Data Engineer – Cloud
2 days ago
Are you a skilled
ETL & Data Pipeline Engineer
ready to work on exciting projects in the telecom domain? We are looking for
5 talented professionals
to design, develop, and optimize data pipelines for a leading consulting firm's client. This is a
6-month contract
(with 1–2 months probation), with potential renewal
up to 5 years
based on performance.
What You'll Do:
- Design, develop, and maintain
robust data pipelines
using
Airflow
. - Build
modular and incremental data flows
to ensure efficient refresh cycles and minimize redundant runs. - Collaborate with cross-functional teams to
integrate AI/ML models
into production data environments. - Develop
ETL/ELT workflows
to ingest and transform data from multiple telecom and operational systems. - Ensure
data quality, version control, and governance
through consistent documentation and reusable components. - Troubleshoot and optimize data processes to ensure
reliability, scalability, and performance
. - Partner with business and analytics teams to
validate domain logic
.
Skills & Experience:
- 3 to 7 years
of hands-on experience in data engineering or related roles. - Strong proficiency in
Python, SQL
, and modern data frameworks (
Airflow, Spark
). - Working knowledge of
Azure data ecosystem
(Data Factory, AzureML, Synapse, Blob Storage, Azure SQL). - Familiarity with
AWS services
(S3, ECS, RDS, EC2). - Experience designing
incremental/modular data pipelines
and integrating
APIs or external data sources
. - Strong understanding of
data governance, versioning, and access management
. - Excellent
problem-solving, structured thinking, and communication skills
.
Work Mode:
- On-site at the consulting firm's office.
- Selection involves
2 rounds of interviews
, including a
coding assessment
.
Interested?
Send your CV to
or DM me directly here on LinkedIn.
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