
Cloud Native Data Specialist
4 days ago
Job Title: Senior Cloud Data Engineer
PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right.
- We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
- We are robust and resilient (100% independent and 0 debt)
The successful candidate will play a key role in building and scaling cloud-native data pipelines to handle ingestion, transformation, quality assurance, enrichment, and advanced analytics use cases across multiple industries.
- Key Responsibilities:
- Design and implement scalable ETL/ELT pipelines on AWS and GCP.
- Migrate existing on-premises and hybrid workloads into cloud-native services.
- Build reusable data frameworks for ingestion, quality monitoring, and transformations.
- Implement robust error handling, recovery mechanisms, and observability into pipelines.
- Partner with Data Scientists and Architects to enable predictive analytics use cases.
This position requires strong expertise in cloud computing, data engineering, and software development. The ideal candidate will have:
- 7+ years in data engineering with end-to-end pipeline design and implementation.
- AWS expertise: S3, Glue, Lambda, Step Functions, EMR, Athena, Fargate, AWS Batch.
- GCP expertise: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Functions.
- Strong Python and SQL development skills.
- Proficiency with orchestration tools like Airflow or Cloud Composer.
- Shell scripting (Linux).
- Familiarity with data formats (Parquet, ORC, JSON, Avro) and modern storage patterns.
What We Offer:
PALO IT is an equal opportunity employer. Employment decisions will be based on merit, qualifications, and abilities.
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