EMPLOYMENT

As a Practiv Data Engineer, you will join a team of passionate Data Cloud & AI technologists who help deliver end-to-end technology solutions for our customers, including building data pipelines, data warehousing, Machine Learning, AI, and visualization. You will work in a small team with a broad range of responsibilities and projects. Essential Skills Strong understanding of data concepts, including data modeling, data warehousing, and ETL processes, with the ability to design and implement complex data pipelines efficiently. Experience working with clients, either as an external consultant or internally within your organization. Experience with data services on cloud platforms such as Google Cloud, Databricks, or Snowflake. Relevant coding experience in languages such as Python, SQL, or Spark, with a strong ability to write clean, efficient, and scalable code for data manipulation and system integration. Nice to Have Experience and qualifications with GCP, Snowflake, or Databricks are a bonus. Experience with data visualization tools such as Tableau, Power BI, or similar. Experience with DevOps practices and tools. Experience with Spark or other big data processing frameworks, capable of handling large datasets, performing complex transformations, and implementing distributed computing solutions. Experience with streaming data solutions. An understanding of good data security practices. As a Senior Consultant (Data Engineering), you should be able to design and implement data pipelines, communicate with clients, and take responsibility for deliveries. You can help junior engineers upskill and explain best practices. If you believe you are a good fit and possess unique skills that add value to our team, we encourage you to apply even if you don’t meet all the criteria. We are a growing organization with space for innovation and new ideas. J-18808-Ljbffr