Professional Skills:
· Bachelors or Master’s degree in mathematics, Computer Science, Physics or Statistics.
· Experience in a consulting or client-facing environment.
· Good knowledge of database warehousing principles and tools.
· Azure Data Engineering - SQL, Hadoop concepts, Hive/Data bricks, Spark/PY Spark.
· Experience in Snowflake utilities including Snow SLQ, Snow pipe, Snow light for handling Streaming data is a plus.
· Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features.
· Experience in in re-clustering Snowflake data with good understanding of Micro-Partition within Snowflake.
· Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns.
· Experience in handling semi-structured data (JSON, XML) in Snowflake.
· Minimum of 2 years of hands-on experience in Cloud technologies such as Azure - Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Data Warehouse.
· Ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy.
· Must be a self-starter/strong drive for results.
· Advanced knowledge of Business Intelligence and visualization tools Tableau and PowerBI.
· Advanced technical skills in Database and SQL
· Advanced knowledge in programming language Python
· Knowledge of big data technologies (Hadoop, Hive, HBase, Spark, etc.)
· Knowledge of agile development methodologies
· Proven working experience in data analysis.
· Adept at queries, writing reports, and making presentations.
· Team-working skills.
· Verbal and Written communication skill.
Responsibilities:
· Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements.
· Using automated tools to extract data from primary and secondary sources.
· Data Engineering to build pipelines.
· Exploratory Data Analysis to clean and improve the quality of the data.
· Using tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
· Manipulates and analyzes complex, high-volume, high-dimensional data using data analysis techniques.
· Works on data modelling, KPI development and insight generation
· Develop visualization using excel, Power BI, Tableau for insight generation.
· Advanced visualization using DAX, Python programming.
Bachelors in IT/Computer Science
