Essential tools and technologies for a Data Engineer include SQL for database querying, ETL tools like Apache Spark and Apache Airflow, data warehousing platforms (e.g., AWS Redshift, Google BigQuery), version control systems (e.g., Git), and proficiency in programming languages like Python or Java. Familiarity with cloud services (AWS, Azure, Google Cloud) and database management systems (e.g., PostgreSQL, MySQL) is also crucial for data pipeline development and management.
If you are interested in getting into this field, then check out this video about Zeeshan and how he secured a Data Engineer job with a good salary hike just after completing Advanced Certification in Data Science and AI from Intellipaat.
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