Data Engineer
15 hours ago
**Work Responsibilities**:
- Create and maintain an optimal/stable data pipeline
- Collect complex data for the functional and non-functional needs of the company & clients
- Identify, design, and implement the development process which includes process automation, optimization of data provision, redesign of scalable infrastructure
- Develop optimal infrastructure for the needs of extracting, transforming, and loading data from various sources such as SQL and GCP / MS Azure big data technologies
- Build a data pipeline analysis tool that can provide insights into the acquisition process, operational efficiency, and other metrics used to measure the company's business performance
- Perform data cleansing and data quality check, include root cause analysis for data discrepancy scenarios
- Work closely with company leadership, consultant, product engineering teams, to address data-related issues and support data infrastructure needs.
- Perform data separation and ensure data security in various data platforms / storages
**Character**:
- You are goal-driven and a problem-solver
- You can split complex problems into smaller, manageable milestones
- You are a good listener and an effective communicator
- You are a team player
- You are able to independently perform self-reflection and you always welcome criticism
**Experience**:
- You have 3-5 years of experience leading & mentoring a team data / technology domain
- Exposure to Google Analytics or Adobe Analytics is a great advantage
- Exposure to cloud related technologies, e.g. GCP is a great advantage
- Understanding of PII data & privacy policy is a great advantage
- Bachelor's degree in informatics, computer science, engineering, statistics, applied mathematics, and other related quantitative fields.
- Able to work with various teams within the company in a dynamic work environment.
- Experienced in building and optimizing big data, data architecture and data sets
- Have a strong understanding of using SQL and processing relational databases, query authoring, and various other database variations
- Experienced in carrying out root cause analysis on internal and external data to answer the company's business needs and identify potential developments
- Experienced in manipulating, processing and extracting data from a number of unconnected data sets.
- Experienced using various software / tools such as:
- Big data tools: Hadoop, Spark, Kafka
- SQL and NoSQL relational databases: PostGre and Cassandra.
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, and so on.
- GCP services: BigQuery, Cloud Storage, Data Flow, Composer, etc
**Domain Knowledge**:
- You have a proven track record of efficient project management in analytics, marketing technology, or similar fields
- Your existing team and references will vouch for your capabilities in building and nurturing a team with a positive legacy
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