The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis?

• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Hands-on development work on all aspects of data analysis, data provisioning, modeling, performance tuning, and optimization.
• Design, implement and operate large-scale, high-volume, high-performance data structures for analytics

• Build solutions in Hadoop – MapReduce, HDFS, Hbase, Hive, Sqoop, MongoDB, NoSQL, or Cassandra.

• Perform data analysis using Python, complex SQLs, and other tools.

• Data analysis in a wide variety of database technologies, from Postgres, SQLServer to NoSQL systems such as MongoDB, Cloudant, Cassandra, and/or Elasticsearch, and can explain their varied use cases
• Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processes utilizing various technologies such as Spark, Kafka, Presto, SAP HANA, Airflow, Informatica.
• Building data visualizations & reports using Tableau, SAP BOBJ and other open-source technologies.

• Perform root cause analysis of issues that hinder the data quality. Work with data source owner to increase quality and accuracy of the source data.

• Understand and influence best practices for observability & dataops.

• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
• Collaborate with engineers to drive best practices in code quality & reusability, data integrity, test design, analysis, validation, and documentation