Senior Engineer - Data Engineering

• Senior Engineer - Data Engineering, with Automotive domain having 6 - 10 years of professional experience in data engineering.
• Possesses advanced skills in Hadoop and Apache Spark, alongside proficiency in Python for scripting and developing data pipelines.
• Experienced in designing and implementing robust data pipelines while having a solid understanding of data warehousing concepts.
• Familiar with data libraries and tools in a big data context, and experienced with cloud services, particularly Google Cloud Platform (GCP).
• Knowledgeable in Terraform for infrastructure as code and expertise in relational databases (RDBMS).
• Experienced with Apache Airflow for orchestrating complex data workflows and capable of optimizing data processing and analysis workflows.
• Holds a Master of Technology (M.Tech) in Data Science or Big Data and a Bachelor of Engineering (B.E) in Computer Science or Information Technology.
• Good to have certifications include Google Professional Data Engineer and Cloudera Certified Professional (CCP): Data Engineer.
• Preferred qualifications include experience with dataflows, familiarity with Tekton for CI/CD processes, and understanding of data manipulation and transformation techniques.
• Familiarity with version control systems, especially Git, is also preferred.

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