Data Engineer
Posted 2 months ago
You'll complete your application on In Marketing We Trust's career site.
About the Role
In this Data Engineer position, you will be instrumental in modernizing data management practices throughout diverse initiatives. Your work involves gathering, refining, and validating information from disparate origins to guarantee accuracy and accessibility. You will leverage your technical knowledge to architect data models, construct ETL pipelines, and build systems for automated operations. Furthermore, you will partner with clients to assess operational hurdles and generate predictive models that guide strategic choices. Beyond producing insightful visualizations and reports via Google Data Studio and Tableau, you will optimize internal procedures to boost overall productivity. You will also maintain a consistent partnership with the Head of Data and Engineering to keep objectives synchronized.
Requirements
- You must possess a minimum of six years of professional background in data engineering.
- You need a robust grasp of data modeling and statistical analysis, paired with strong technical skills in SQL and Python.
- Background in marketing data is a strong asset, particularly regarding the construction of ETL pipelines that unify information from multiple sources.
- You must be comfortable using business intelligence software, including Google Data Studio, Looker, or Tableau, and demonstrate excellent analytical problem-solving abilities.
- It is a plus if you have experience with Google Tag Manager, Google Analytics, or hold a GCP certification.
- Skills in cloud environments like Azure, GCP, or AWS, along with big data frameworks such as Hadoop or Spark, will make you a more competitive applicant.
- You are required to reside in South Asia, East Asia, or Southeast Asia to ensure you are available for coordination during APAC business hours.
Responsibilities
- You will manage a variety of data-related duties, including the acquisition and purification of information from various channels to ensure dataset reliability.
- You will prioritize the architecture of data models and pipelines, as well as the implementation of automated workflows to improve process efficiency.
- It is vital that you perform rigorous data analysis and construct predictive models to resolve specific business complications.
- You will interact directly with clients to identify their requirements and deliver insights that lead to actionable outcomes.
- You will present high-quality visualizations and reports to assist in the client's strategic planning.
- You will concentrate on improving internal systems by automating manual work and spotting opportunities to contribute value while assisting with efforts to grow accounts.
Benefits & Perks
- You will work in a completely remote setup that supports flexibility and a balanced lifestyle.
- There is a focus on building the organization sustainably while maintaining a strong emphasis on individual wellness and integration of work and life.
- You will be part of an environment designed to support your professional and personal growth while you contribute to the success of your team.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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