Role & responsibilities

Role : Data Engineer

Preferred candidate profile

Required tech skill : Big Data, Spark, HDFS, Kafka, AWS, Azure, GCP, ETL, Hadoop, Hive etc

Must have :

Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks.

- Expertise in SQL and NoSQL 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 BigQuery, and Snowflake for building and managing data warehouses.
- Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend,



or Informatica.
- Valuable 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 effective 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

📌 Hadoop, Spark, Scala BOA D&A (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad