Senior Data Engineer
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Key Responsibilities:
Design, develop, and maintain robust data pipelines (ETL/ELT).
Build and optimize data ingestion, transformation, and delivery processes for Business Intelligence, Analytics, and Data Science teams.
Ensure data quality, reliability, scalability, and performance across the data platform.
Contribute to data architecture decisions and continuous platform improvements.
Collaborate closely with technical and business stakeholders in an Agile environment.
Required Qualifications
5–6 years of experience in Data Engineering.
Strong proficiency in SQL and Python.
Hands‑on experience with data processing and orchestration tools such as Spark, Airflow, dbt, or similar technologies.
Experience working with at least one cloud platform (AWS, Azure, or GCP).
Soli...