6 days ago
Airflow
Amazon Redshift
Apache
AWS
Azure
Cloud
Docker
ETL
Google Cloud Platform
Informatica
IoT
Java
Kafka
Open Source
PySpark
Python
Scala
Spark
SQL
Vault
Go
• Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark. • The Senior Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. • Work with cross-functional teams and contribute to the strategic direction of data initiatives. • Responsibilities include leading design and implementation of data pipelines, architecting data solutions, and optimizing workflows. • Desired qualifications include proficiency in programming languages like Python and experience with big data technologies.
• Proven experience as a Senior Data Engineer, or in a similar role, with hands-on experience building and optimizing data pipelines and infrastructure, and designing data architectures. • Proven experience working with Big Data and tools used to process Big Data • Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. • Excellent understanding of data engineering principles and practices. • Excellent communication and collaboration skills to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders. • Ability to adapt to new technologies, tools, and methodologies in a dynamic and fast-paced environment. • Ability to write clean, scalable, robust code using python or similar programming languages. Background in software engineering a plus. • Knowledge of data governance frameworks and practices. • Understanding of machine learning workflows and how to support them with robust data pipelines.
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