Become data engineer | டேட்டா இன்ஜினியர்? #datascience #stockmarket #python #sql #tamil #tamilshorts

A Data Engineer designs and maintains the infrastructure (data pipelines, databases, etc.) that enables data collection, storage, and retrieval. Their work ensures data is available, accurate, and optimized for use by data analysts and data scientists.

Core Responsibilities:
Data Pipeline Development: Build and maintain data pipelines that collect, transform, and load (ETL) data for use by other data professionals.
Data Warehouse and Database Management: Design and optimize data storage solutions to support fast data retrieval and large-scale data processing.
Data Quality Assurance: Implement data validation checks and monitor pipelines to ensure data accuracy and consistency.
Collaboration with Stakeholders: Work closely with data analysts, data scientists, and IT teams to ensure the data infrastructure meets their requirements.
Tools and Skills:
Tools: SQL, Apache Spark, Hadoop, Airflow, ETL tools, cloud platforms like AWS (Redshift, S3), Azure (Data Lake, SQL Database), or Google Cloud (BigQuery).
Skills: Strong software engineering skills, database management, data modeling, and experience with big data tools for data movement and processing.
#datascience #stockmarket #python #sql #tamil #tamilshorts #databricks

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