Data Engineer (Big Data)

Role Overview: You should have proficiency in Python, Java, or SQL for data processing and automation. Additionally, hands-on experience with cloud platforms, especially Azure, Snowflake, and Databricks, is required. Expertise in big data technologies like Apache Spark, Hadoop, or Kafka is a must. Having a deep understanding of data modeling, performance tuning, and optimization will be beneficial. Familiarity with transformer-based architecture, Generative AI, and LLM data workflows is also essential. Key Responsibilities: - Lead complex data engineering projects effectively. - Mentor junior engineers and provide guidance to them. - Communicate and collaborate efficiently with cross-functional teams. Qualifications Required: - Proficiency in Python, Java, or SQL. - Hands-on experience with cloud platforms, especially Azure, Snowflake, and Databricks. - Expertise in big data technologies such as Apache Spark, Hadoop, or Kafka. - Deep understanding of data modeling, performance tuning, and optimization. - Familiarity with transformer-based architecture, Generative AI, and LLM data workflows. - Proven ability to lead complex data engineering projects. - Strong mentorship skills and experience guiding junior engineers. - Excellent communication and teamwork skills to collaborate with cross-functional teams. Role Overview: You should have proficiency in Python, Java, or SQL for data processing and automation. Additionally, hands-on experience with cloud platforms, especially Azure, Snowflake, and Databricks, is required. Expertise in big data technologies like Apache Spark, Hadoop, or Kafka is a must. Having a deep understanding of data modeling, performance tuning, and optimization will be beneficial. Familiarity with transformer-based architecture, Generative AI, and LLM data workflows is also essential. Key Responsibilities: - Lead complex data engineering projects effectively. - Mentor junior engineers and provide guidance to them. - Communicate and collaborate efficiently with cross-functional teams. Qualifications Required: - Proficiency in Python, Java, or SQL. - Hands-on experience with cloud platforms, especially Azure, Snowflake, and Databricks. - Expertise in big data technologies such as Apache Spark, Hadoop, or Kafka. - Deep understanding of data modeling, performance tuning, and optimization. - Familiarity with transformer-based architecture, Generative AI, and LLM data workflows. - Proven ability to lead complex data engineering projects. - Strong mentorship skills and experience guiding junior engineers. - Excellent communication and teamwork skills to collaborate with cross-functional teams.