Technologies, Skills, and Responsibilities in the Data Sphere

Technologies, Skills, and Responsibilities in the Data Sphere

After some research, I’ve found the pertinent keywords for roles in Data Engineering, Business Intelligence (BI), and Data Architecture. This is a domain I’m currently working in and would like to further my career more. I have found it necessary to skill up to meet the demands of these roles. Luckily there are lots of available resources to help one along the way, and I’ll be posting what I use to skill up and how I do it despite not having exposure to some of these categories. Here’s a list of strong keywords categorized by function for these roles:

Data Engineering

Languages and Technologies
– Python
– SQL
– Java
– Scala/R
– Bash/Shell scripting

Databases
– PostgreSQL
– MySQL
– NoSQL (e.g., MongoDB, Cassandra)
– Redshift
– Snowflake
– BigQuery

Data Pipelines
– ETL (Extract, Transform, Load)
– ELT (Extract, Load, Transform)
– Apache Airflow
– Luigi
– Data Warehousing
– Data Lakes

Big Data Tools
– Apache Spark
– Hadoop
– Hive
– Kafka
– Flink

Cloud Platforms
– AWS (S3, Lambda, RDS, EMR, Glue)
– Azure (Data Factory, Synapse)
– Google Cloud (BigQuery, Dataflow, Pub/Sub)

Other Tools
– Docker
– Kubernetes
– Terraform
– CI/CD pipelines

Business Intelligence (BI)

BI Tools
– Power BI
– Tableau
– QlikView/Qlik Sense
– Microsoft Excel (advanced, including Power Query/Power Pivot)

Data Analysis and Reporting
– Data Visualization
– Dashboarding
– KPI Reporting
– Metrics Development
– Business Analytics

Languages
– SQL
– DAX (for Power BI)
– Python (for data analysis, visualizations)
– R (for statistical analysis)

Data Warehousing
– Star Schema
– Snowflake Schema
– Dimensional Modeling
– OLAP Cubes
– SSAS (SQL Server Analysis Services)

Data Architecture

Architecture Frameworks
– Data Modeling
– Database Design
– Schema Design
– Distributed Systems
– Cloud Architecture

Technologies
– AWS Redshift, Google BigQuery, Azure Synapse
– Data Warehouse/OLAP/OLTP
– Data Lakes
– Event-Driven Architecture

Governance & Security
– Data Governance
– Data Lineage
– Data Cataloging
– Data Security
– GDPR, HIPAA Compliance

Data Integration
– API Integration
– Data Synchronization
– Master Data Management (MDM)

General and Soft Skills

Soft Skills
– Problem-solving
– Communication
– Cross-functional collaboration
– Agile methodology
– Stakeholder engagement
– Requirements gathering

General Terms
– Scalable Architecture
– High-availability Systems
– Data Management
– Real-time Processing
– Batch Processing
– Data Quality