Must Haves & Good to Haves:
Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks.
Expertise in SQL and No SQL databases
Hands-on experience with big data technologies like Hadoop, Spark, Kafka, and Hive to handle large-scale data processing and real-time data streams.
In-depth knowledge of data warehousing solutions such as Amazon Redshift, Google Big Query, and Snowflake for building and managing data warehouses.
Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache Ni Fi, Talend, or Informatica.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services.
Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
Experience with version control systems such as Git for code management and collaboration.
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