Dainik Bhaskar - Principal Data Engineer - Python/Spark

Job Description What you need to do : We're building the most personalized and intelligent news experiences for India's next 750 million digital users. As Our Principal Data Engineer, You Will Design and maintain data infrastructure that powers personalization systems and analytics platforms with seamless data flow from source to consumption. Architect scalable data pipelines processing massive volumes of user interaction and content data across our news platforms. Develop robust ETL processes and implement distributed data processing workflows for large-scale transformations and analytical processing. Create and maintain data lakes/warehouses that consolidate data from multiple sources, optimized for ML model consumption and business intelligence. Implement data governance practices and partner with the ML team to ensure right data availability for recommendation systems. Who You Need To Be Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field with 8-12 years of data engineering experience (3+ years in senior role). Expert-level SQL skills with strong experience in Apache Spark ecosystem (Spark SQL, Streaming, SparkML) and proficiency in Python/Scala. Experience with AWS data ecosystem (RedShift, S3, Glue, EMR, Kinesis, Lambda, Athena) and ETL frameworks (Glue, Airflow). Proven track record building large-scale data pipelines in production environments, preferably in high-traffic digital media. Excellent communication skills with ability to work effectively across teams in a fast-paced environment requiring engineering agility. (ref:hirist.tech) Show more Show less