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Popular Data Engineer role in Hyderabad with broad cloud and streaming requirements increases applicant competition.
Core data engineering and cloud skills are highly transferable across industries.
Explicit 4-9 years plus many mandatory cloud, data platform, and streaming skills.
Lead migration and modernization of data platforms to Google Cloud and AWS, building scalable cloud-based data infrastructure and pipelines.
Develop and optimize real-time and batch data processing solutions supporting new product launches with high data quality and operational KPIs.
Mentor data engineering team and collaborate with data science and product teams on solutioning and proof-of-concept development.
4-9 years of experience in Data Engineering and Application Development.
Graduate degree in Computer Science or related field.
Experience with Python, Java, Spark, SQL, Scala, Snowflake, Big Query, and cloud technologies (AWS/GCP).
Experience in data platform engineering focusing on cloud transformation, building large-scale data pipelines, and knowledge of DevOps CI/CD and data governance.
Experienced in cloud migration and modernization initiatives with hands-on expertise in AWS and GCP environments.
Capable of managing and scaling petabyte-level data pipelines with strong emphasis on platform engineering and automation.
Proficient in integrating real-time data streaming solutions and working within Agile teams to deliver complex data products.