What you'll do :

• Understand and analyze client business requirements to support data solutions.
• Recommend suitable modern data stack tools based on client needs.
• Develop and maintain data pipelines, ETL processes, and data warehousing.
• Create and optimize data models for client reporting and analytics.
• Ensure seamless data integration and visualization with cross-functional teams.
• Communicate with clients for project updates and issue resolution.
• Stay updated on industry best practices and emerging technologies.

What makes you a great fit :

• 3-5 years in data engineering/analytics with a proven track record.
• Proficient in SQL and Python for data manipulation and analysis. Knowledge of Pyspark is a plus.
• Experience with data warehouse platforms like Redshift and Google BigQuery.
• Experience with AWS service like S3, Glue, Athena.
• Proficient in Airflow.
• Familiarity with event tracking platforms like GA or Amplitude is a plus.
• Strong problem-solving skills and adaptability.
• Excellent communication skills and proactive client engagement.
• Ability to get things done, unblock yourself, and effectively collaborate with team members and clients.