Mastering Data Engineering
2 days ago
We are seeking an experienced Senior Data Specialist to lead our data engineering initiatives and drive the development of scalable data services.
Key Responsibilities:
- Design and implement complex data pipelines with a strong understanding of data concepts, including data modelling, data warehousing, and ETL processes.
- Collaborate closely with clients or internal teams to understand their data needs and provide tailored solutions.
- Develop and maintain robust data services on cloud platforms such as Google Cloud, Databricks, or Snowflake.
- Write clean, efficient, and scalable code for data manipulation and system integration using languages like Python, SQL, or Spark.
Required Skills:
- Strong experience with data visualisation tools such as Tableau, Power BI, or similar is highly valued.
- Experience with GCP, Snowflake, or Databricks is desirable.
- DevOps practices and tools, big data processing frameworks (Spark), streaming data solutions, and data security practices knowledge are essential.
About the Role:
This is a senior-level position that requires a deep understanding of data engineering principles and experience in leading data pipeline design, client communication, and delivery responsibilities. You will also be responsible for upskilling junior engineers and promoting best practices within the organisation.
Our organisation prioritises innovation and welcomes good ideas. If you believe you have the necessary skills and experience, we encourage you to apply for this exciting opportunity.
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