Data Analyst
Posted on 2025-04-17
| Salary | 55000 Monthly |
|---|---|
| Category | It Computing Software |
| Location | eThekwini / Durban |
Job Summary
Responsibilities:
Assembling large, complex sets of data that meet non-functional and functional business requirements Design, develop, monitor and maintain scalable data pipelines and ETL processes Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Integration and SQL technologies, often these are Cloud based Identifying, designing and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building analytical tools to utilise the data pipeline, providing actionable insight into key business performance metrics Ensure data quality, consistency, integrity, and security across all systems Drive continuous improvement of data engineering best practices and tooling Required Skills and Experience: Bachelors Degree in Computer Science, Engineering, Mathematics, or related field 5-7 years of experience in a database management, data engineering or similar role Proficiency in programming languages such as Python or Scala Strong proficiency in SQL and experience with relational databases (e.g. MSSQL, PostgreSQL, MySQL) Hands-on experience with No-SQL database technologies Experience in database optimization and performance tuning required Good understanding of Data Integration patterns Exposure to BI tooling such as Power BI or Yellowfin is advantageous Experience setting up MS SQL Replication and Data Archiving strategies will be beneficial Experience with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Lambda, Redshift, BigQuery, or Snowflake Familiarity with big data technologies like Apache Spark, Data Bricks, and Hive Familiarity with data modelling, warehousing concepts, and data governance practices Exposure to Data cleansing and de-duplication techniques will be beneficial Advantageous: Experience with stream processing tools (e.g., Kafka, Spark Streaming, Flink) Knowledge of containerization (Docker) and orchestration tools (Kubernetes) Understanding of CI/CD principles and infrastructure-as-code Exposure to machine learning workflows and MLOps
Data Analyst position available in eThekwini, Durban. This job position was posted by . The job has been posted on 2025-04-17 in the It Computing Software category
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