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about the company
We are looking for a high-caliber Data Engineer to join our data engineering team. In this role, you will play a key part in designing scalable data infrastructure, optimizing high-volume pipelines, and working alongside data platforms and analytics teams to turn raw data into high-value assets.
about the job
skills and experience required
Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, Data Science, or a related technical discipline from a reputable institution (a strong academic track record is highly regarded).
Proficiency in at least one object-oriented or functional language, such as Python, Scala, or Java.
Practical exposure or hands-on experience with modern big data technologies, including PySpark, Apache Spark, Hadoop, or Apache Flink.
whats on offer
This is a permanent Data Engineer role offering a competitive monthly salary of $ 6,500 - $ 8,500, along with company perks and benefits.
To apply online please use the apply function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942
Desired Skills and ExperienceJob ID: 151880815
Skills:
Machine Learning, Natural Language Processing, Version Control, Sql, Data Science, MLops, Python, Generative AI, model validation, Statistics, Cloud-based AI Services, Evaluation Methodology, Multilingual NLP, Data Processing, Sampling Error Analysis, Experimental Design
Skills:
Java, Ranger, Hadoop, Kafka, Sql, Hive, Docker, Openshift, XGBoost, Spark, Shell scripting, Kubernetes, Python, MLflow, Flink, Ozone, Iceberg, Trino, Nifi
Skills:
snowflake , Hadoop, Spark, Databricks, Python, Sql, SageMaker, Airflow, dbt, MLOps frameworks, MLflow
Skills:
Aws Lambda, S3, Aws Services, Pyspark, AWS Glue, Jenkins, Cloudwatch, Terraform, Iam, Gitlab, Python, AWS Step Functions, GitHub Actions, data lakes
Skills:
SAP, Hadoop, Power Bi, PostgreSQL, Apache Spark, Informatica, Sql, ELT, Microservices, Hive, DevSecOps, Docker, Talend, Kubernetes, Python, Etl, Sharepoint, Podman