Analytics Engineer

We are seeking a highly motivated Analytics Engineer to join our emerging Analytics Engineering team. This role involves collaborating with business stakeholders to translate requirements into data models, bridging the data gap between analysts/scientists and engineers, building and maintaining efficient data pipelines using tools like dbt, and staying updated with emerging data technologies. It's an opportunity for someone passionate about data and building innovative solutions.

Must Have

• Collaborate with business stakeholders to collect business requirements and translate them into data models.
• Bridge the data gap by working closely with data analysts, data scientists, and data engineers.
• Build and maintain efficient data model workflows using tools like dbt.
• Continuously learn and stay up-to-date with emerging trends and technologies in analytics and data engineering.
• Experience with SQL data querying and manipulation.
• Experience in designing, implementing, maintaining and extending Kimball dimensional models.
• Familiarity with a data transformation tool like dbt core or dbt Cloud.
• Experience with data warehousing in tools such as Redshift, BigQuery or Snowflake.
• Experience with orchestration tools like Airflow.
• Experience with cloud-based data platforms such as AWS, Azure or GCP.
• Excellent communication and interpersonal skills.
• Strong analytical skills and passion for tackling data challenges.

Good to Have

• Experience of Python scripting.
• Experience with Data Vault.
• Experience with open format tables such as Iceberg or Delta.
• Experience building and maintaining DAGs.
• Experience with Apache Spark or Databricks.
• Experience with IaC tools such as Terraform or Cloud Formation.

Job Description

We are seeking a highly motivated Analytics Engineer to join our emerging Analytics Engineering team. If you're passionate about working with data and building innovative solutions, this is the perfect opportunity for you!

What will you be doing at Miniclip?

As an Analytics Engineer you will be expected to:

• Collaborate with business stakeholders Collect business requirements and translate them into data models that provide clean, accurate datasets. This empowers other users within the company to become more autonomous in answering their own questions.
• Bridge the data gap Work closely with data analysts and data scientists to understand their analytical needs and collaborate with data engineers to transform raw data into effective data models and products. Ensure data quality and availability throughout the process.
• Build and maintain data model workflow Develop and implement efficient data pipelines using tools like dbt (or similar EL T tools) to automate data transformation and empower analysts. Implement best practices of software development in data workflows.
• Be tech savvy Continuously learn and stay up-to-date with emerging trends and technologies in the analytics and data engineering world.

What are we looking for?

We are looking for a team player who is passionate about games. The ideal candidate should be skilled in the following areas:

• Experience with SQL data querying and manipulation. Experience of Python scripting is a plus.
• Experience in designing, implementing, maintaining and extending Kimball dimensional models. Data Vault is a plus.
• Familiarity with a data transformation tool like dbt core or dbt Cloud (or similar transformation tools).
• Experience with data warehousing in tools such as Redshift, BigQuery or Snowflake.
• Experience with open format tables such as Iceberg or Delta is a plus.
• Experience with orchestration tools like Airflow. Building and maintaining DAGs is a plus.
• Experience with Apache Spark or Databricks is a plus.
• Experience with cloud-based data platforms such as AWS, Azure or GCP.
• Experience with IaC tools such as Terraform or Cloud Formation is a plus.
• Excellent communication and interpersonal skills to work effectively with both technical and non-technical teams.
• Strong analytical skills and passion for tackling data challenges with innovative solutions.