• Perform analyses on data using SQL as well as Data Mining Algorithms
• Collaborate with data stewards, data architects, and data engineers to design, implement and deliver successful data solutions
• Drive engineering best practices, set standards and propose larger projects which may require cross-team collaboration
• Define technical requirements and implementation details for the underlying data lake, data warehouse and data marts
• Involved in the design and implementation of full cycle of data services, from data ingestion, data processing, ETL to data delivery for reporting
• Identify, troubleshoot and resolve production data integrity and performance issues
• Design, develop and support various data platform applications
• Design and develop applications to process large amounts of critical information in batch and near real-time to power business insights
• Experience in managed services for data ingestion/processing 
• Experience with Presto, Hive, Impala or similar SQL based engine for Big Data
• Experience with Cassandra, MongoDB or similar NoSQL databases.
• A solid understanding of NoSQL data stores with extensive experience in working with SQL, script languages (Python, shell etc.)
• Proven experience of distributed systems driving large-scale data processing and analytics
• Expertise with RDMS and Data Warehousing (Strong SQL)
• Experience working with BI and data warehousing tools building data pipelines and real-time data streams.
• Expertise in Python, pySpark or similar programming languages
  Proficient in writing technical specifications and documentation

Ref: 9338 | Published: 21 Jun 2019