Requirement:
The Data Analyst is required to have capabilities and experience in similar services/projects as follow:
· Statistical knowledge
· Understanding of Big Data technologies
· Data reliability and quality
· Build systems that collect, manage and convert raw data into usable information
· Data pipeline management
· Development Languages / Tools e.g. Python, Outlook, Qlikview
· Familiarity with multiple cloud platforms like AWS, Azure, or GCP and expertise in at least one.
· Experience in multiple data processing frameworks e.g. Spark, Beam, Flink etc.
· Experience in at least one workflow orchestration tool e.g. Airflow.
· Experience in multiple messaging queues e.g. Kafka or PubSub.
· Experience in at least one data warehouse e.g. Redshift, Big query, Snowflake, Databricks etc.
· Experience in implementing large scale data lakes/Warehouses.
· Experience in relational databases e.g. Postgres, MySQL, etc.
· Experience in NoSQL databases e.g. DynamoDB, MongoDB, BigTable, etc.
· Experience in end to end Modern data stack including no code data ingestion tools, transformation and orchestration tools, Data Governance, Data Quality and Role based access control
· Familiarity with multiple data visualization tools e.g. Tableau, PowerBI, Superset, Quicksight, etc.
· Experience in data catalog and governance tools e.g. Amundsen, Dataplex, Glue catalog, etc.
· Experience in data validation framework(s) e.g. DBT, great expectations, etc.
· Strong understanding of Data warehouse, Data lake, Data mart, OLTP and OLAP concepts.
· Strong understanding of data modeling, ETL/ELT processes, and data quality principles.
Interested candidate may apply directly to [email protected] for immediate processing
