Senior yst

Youll build and maintain systems for efficient data collection storage and processing to ensure data pipelines are robust and scalable for seamless integration and analysis. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fastpaced global firm.
What youll do

• Design/implement complex and scalable enterprise data processing and BI reporting solutions.
• Build and optimize ETL pipelines for data integration and enhance data warehouse systems through architectural reviews.
• Ensure strict data compliance security and cost optimization.
• Rearchitect data solutions for scalability reliability and resilience.
• Manage data schemas and flow to ensure compliance integrity and security.
• Deliver endtoend data solutions across multiple infrastructures and applications.
• Build strong partnerships with other teams to create valuable solutions.

Qualifications

• 1.5 to 2.5 years of experience in data engineering role with an engineering degree in background.
• Proficient in ETL/ELT pipeline implementation.
• Extensive experience with handling large data and maintaining data quality. Automating ETL pipelines.
• Knowledge of data warehouses (Redshift Snowflake Databricks Cloudera).
• Proficient in Python scripting PySpark and Spark.
• Experience with data ingestion storage and Consumption.
• Skilled in SQL and data schema management.
• Domain knowledge of the pharma landscape is a must have.

sql,tableau,data engineering,cloud,data quality maintenance,data warehouse,aws,azure,python scripting,spark,etl,python,large data handling,etl/elt pipeline implementation,pyspark,pharma domain knowledge,data schema management

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