Job Description
TCS is Hiring For GCP Data Engineer - Big Query
Experience: 5 YRS- 10 YRS
Location: CHENNAI, BANGALORE, HYDERABHAD
Role : Data Engineer
Skill : Big Data, Spark, HDFS, Kafka, Scala, AWS, Azure, GCP, ETL, Hadoop, Hive etc.
JOB DESCRIPTION :
Must-Have**
• 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.
Good-to-Have
• 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. • Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information
Experience: 5 YRS- 10 YRS
Location: CHENNAI, BANGALORE, HYDERABHAD
Role : Data Engineer
Skill : Big Data, Spark, HDFS, Kafka, Scala, AWS, Azure, GCP, ETL, Hadoop, Hive etc.
JOB DESCRIPTION :
Must-Have**
• 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.
Good-to-Have
• 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. • Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information
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