Data Engineer

We are looking for a Data Engineer with 3+ years of experience in building and maintaining scalable data pipelines. The ideal candidate will have expertise in Python, SQL, cloud platforms, and modern data engineering tools to support enterprise analytics and business intelligence initiatives., * Develop and maintain ETL/ELT pipelines.

• Design and optimize data models.
• Build scalable data processing workflows.
• Ensure data quality, integrity, and availability.
• Work with structured and unstructured datasets.
• Optimize database performance.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Monitor and troubleshoot production data pipelines.
• Document technical solutions and best practices., * Azure Data Factory
• Databricks
• Snowflake
• Delta Lake
• Apache Airflow
• Kafka
• Docker
• Kubernetes
• Power BI or Tableau

Skills

• Data Engineering
• Python
• SQL
• PySpark
• Apache Spark
• ETL
• Azure Data Factory
• Databricks
• Snowflake
• Delta Lake
• Airflow
• Kafka
• AWS
• Azure
• Docker
• Kubernetes
• Git

Pay: $115,564.41 - $139,174.34 per year

• 3+ years of Data Engineering experience.
• Strong SQL and Python skills.
• Experience with Spark or PySpark.
• Experience with Azure, AWS, or Google Cloud.
• Experience building ETL/ELT pipelines.
• Knowledge of relational and data warehouse concepts.
• Experience with Git.
• Strong problem-solving and communication skills.