Data Engineer

We are looking for an experienced Data Engineer with 5+ years of experience in designing, developing, and maintaining data pipelines and data solutions. The ideal candidate should have strong knowledge of SQL, Python, cloud platforms, and ETL processes.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT workflows.
• Work with large datasets using SQL and Python.
• Develop data solutions using AWS or Azure.
• Work with data warehouses such as Snowflake, BigQuery, or Redshift.
• Ensure data quality, accuracy, and security.
• Collaborate with data analysts, data scientists, and business teams.
• Monitor and troubleshoot data pipelines.
• Document data processes and technical solutions.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong knowledge of SQL and Python.
• Experience with ETL/ELT development.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of data warehousing and data modeling.
• Experience with Apache Spark or similar data processing tools.
• Familiarity with Airflow, dbt, or other workflow tools.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with Snowflake, Databricks, or BigQuery.
• Knowledge of CI/CD and version control (Git).
• Experience with streaming data or real-time pipelines.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Benefits

• Competitive compensation.
• Professional growth opportunities.
• Collaborative work environment.
• Flexible work arrangements, where applicable.

Pay: $105,000.00-$140,000.00 per year

Benefits:

• Casual dress
• Company car
• Company events
• On-site parking
• Paid time off
• Work from home

Work Location: In person