• Work with state-of-the-art data frameworks and technologies like Dataflow(Apache Beam), Dataproc(Apache Spark & Hadoop), Apache Kafka, Google PubSub, Apache Airflow, and others.
• You will work cross-functionally with various teams, creating solutions that deal with large volumes of data.
• You will work with the team to set and maintain standards and development practices.
• You will be a keen advocate of quality and continuous improvement.
• You will modernize the current data systems to develop Cloud-enabled Data and Analytics solutions
• Drive the development of cloud-based data lake, hybrid data warehouses & business intelligence platforms
• Improve upon the data ingestion models, ETL jobs, and alerts to maintain data integrity and data availability
• Build Data Pipelines to ingest structured and Unstructured Data.
• Gain hands-on experience with new data platforms and programming languages
• Analyze and provide data-supported recommendations to improve product performance and customer acquisition
• Design, Build and Support resilient production-grade applications and web services

Who you are:

• 4+ years of work experience in Software Engineering and development.
• Very strong understanding of Python & pandas library.Good understanding of Scala, R, and other related languages
• Experience with data transformation & data analytics in both batch & streaming mode using cloud-native technologies.
• Strong experience with the big data technologies like Hadoop, Spark, BigQuery, DataProc, Dataflow
• Strong analytical and communication skills.
• Experience working with large, disconnected, and/or unstructured datasets.
• Experience building and optimizing data pipelines, architectures, and data sets using cloud-native technologies.
• Hands-on experience with any cloud tech like GCP/AWS is a plus.