Senior Data Engineer

About You

• Must have at least 6-7 years of total work experience with at least 3+ years in data engineering or analytics domains.
• Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines.
• SQL Proficiency a must.
• Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions.
• Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure.
• Experience with orchestration tools like Airflow or Dagster.
• Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight).
• Data modelling knowledge of various schemas like snowflake and star.
• Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data.
• Knowledge building ETL workflows, database design, and query optimization.
• Has experience of a scripting language like Python.
• Works we'll within a team and collaborates with colleagues across domains and geographies.
• Excellent oral, written, and visual communication skills.
• Has a demonstrable ability to assimilate new information thoroughly and quickly.
• Strong logical and scientific approach to problem-solving.
• Can articulate complex results in a simple and concise manner to all levels within the organization.

Skills Required

dbt, glue , Fivetran, Alteryx, snowflake , Redshift, Azure