The Sr. Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring various KPIs & metrics. Collaborating across disciplines, they will identify internal / external data sources, design table structures, define ETL strategy & implement automated Data Quality checks.
Basic Qualifications
8+ years of relevant data engineering experience.
Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
Good understanding of SQL Engines and able to conduct advanced performance tuning.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Comfortable working in a fast-paced and highly collaborative environment.
Familiarity with Agile Scrum principles and ceremonies
Preferred Qualifications:
Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
Strong analytical and problem-solving skills.
Effective communication and teamwork abilities.
Must have skills:
Data Engineering skills using -
Complex or Advanced SQL queries
Python
Spark
Snowflake
Databricks
Airflow or Prefect
Experience with at least one cloud platform (AWS / Azure / GCP)
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering
Industries
IT Services and IT Consulting and Software Development
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