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Open nowFirst seen 40 hours ago

Data Engineer

Boardroom Appointments3,354 open roles

Where
Cape Town, WC, South Africa
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Your applicationOpen nowData EngineerBoardroom Appointments · Cape Town, WC, South Africa
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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 40 hours ago

The posting

Hybrid position

Minimum requirements:

  • Relevant 3-year tertiary qualification BSC In Computer Science / Information Systems
  • 2-4 Years Senior Data Engineering experience

In depth knowledge and understanding of:

  • Azure Databricks
  • Data governance and data management frameworks
  • BI and Warehouse design
  • Movement of data into the Cloud using the following tools Apache Kafka, Storm, Flume for ingesting data or Amazon Web Services (AWS) Cloud Development Kit (CDK)
  • Operating with real-time streams, data warehouse queries, JSON, CSV, raw data
  • Scripting Data Pipelines for scheduled movement of data
  • Designing and developing ETL/ELT processes and data pipelines Experience working with Azure DevOps
  • Data visualization including PowerBI / Tableau
  • Exploratory Data Analysis - EDA
  • SQL
  • Microsoft SQL Server
  • NoSQL
  • Microsoft SQL Server
  • Python (PySpark)
  • C# , Json- calling APIs
  • PowerShell
  • Apache Spark
  • Kafka
  • Scala
  • Splunk
  • Elk Stack
  • Data Modelling
  • Data warehousing solutions
  • Data pipelines
  • Data Cleansing
  • Terraform

Responsibilities:

  • Work as part of an agile data engineering team
  • Ensure that data systems meet the companys regulatory commitments, and that data is reliable and efficient
  • Support best business capabilities for high performance database solutioning
  • Actively participate in team, cross-discipline and vendor-driven collaboration sessions or forums to increase understanding of the working environment by contribution and participation in the relevant Data Governance Frameworks
  • Partner with Technology, Business and other stakeholders to ensure that database structures, programmes and applications meet business delivery requirements
  • Monitor adherence to processes which support the prescribed data architectural frameworks and ensure development/delivery teams align to the required standards and methodologies
  • Design and implement scalable end-to-end database solutions including:
  • Addressing issues of data migration i.e. validation, clean-up and mapping and consistently apply data dictionaries
  • Data cleanse using databricks
  • Component design and development
  • Identification and resolution of production and application development constraints
  • Integration of new technologies and software into the existing landscape
  • Development data set processes for data modelling, mining and production
  • Optimal utilization of big data
  • Documentation management and disaster recovery
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