As a part of Customer Data management capability this position will provide a platform to work in strategic and tactical initiatives across various industries. Accenture’s Customer Data Management capability provides its services to clients across the globe and helps them with their enterprise wide business challenges in the area of big data data management business processes KPI and reporting. Specific responsibilities for this role include architecting requirements across existing and identified capabilities to ensure appropriate leveraging of existing resources as well as the development of new capabilities that can be immediately used thereby decreasing cycle times improving data capabilities and optimizing operating expenses. This position also plays a key liaison role with business capability groups for taking and providing direction and requirements clarity and testing new and enhanced capabilities prior to release into production.
QUALIFICATIONS Minimum undergraduate technical degree (B.E. / BTech/ equivalent) or post-graduation degree in Computer Applications Experience: - 3 years of experience in Data engineering Essential Skills For GCP DE - ETL Experience in GCP (Google Cloud Platform). Project hands on exp in GCP components - Big Query, dataflow, Pub sub, data proc, data storage, Bigtable, cloud ML/AutoML, TensorFlow, Kubernetes, dialog flow etc Experience in building and optimizing large scale data pipeline systems. Experience in Big Data Analytic frameworks and query tools such as Spark, Hadoop, Hive, Impala etc. Experience working with SQL and NoSQL databases like MongoDB, Cassandra. Good understanding of Big data design patterns and performance tuning. Experience with data pipeline and workflow management tools: Azkaban, Oozie etc. Strong Data Warehousing experience, building operational ETL / ELT pipelines comprised of several sources, and architecting Data Models/Layers for Analytics Streaming Data Integration experience with Sqoop and Kafka Experience in working on projects using NIFI Able to Benchmark systems, analyze system bottlenecks and propose solutions to eliminate them.