Data Engineer

3 days ago

Puchong New Village, Malaysia PIXELATE EVERYTHING Full time
Job Description

We are looking for a highly skilled Data Engineer to support the Marketing & Analytics Department. This role focuses on building robust data pipelines, ensuring data quality, enabling accurate analytics, and supporting high-volume data operations across marketing, product, and BI use cases.

Responsibilities
1. Data Pipeline Development
  • Build and maintain ETL/ELT pipelines for marketing, product, and user analytics data.
  • Implement real-time streaming pipelines using Kafka, Redpanda, Pulsar, or equivalent.
  • Integrate data from multiple platforms (GA4, GTM, ad platforms, CRM, tracking systems).
  • Ensure scalable ingestion into ClickHouse or other columnar databases.
2. Data Infrastructure & Storage
  • Design and manage ClickHouse schemas, tables, materialized views, and optimizations.
  • Maintain data warehouse performance, partitioning, compression, and cost efficiency.
  • Implement data retention policies and optimize for high-volume event data.
3. Data Quality & Governance
  • Work closely with Marketing Data Analysts to support accurate event tracking.
  • Validate incoming data, perform QA on new fields/events, maintain consistency.
  • Establish naming conventions, data dictionary, and governance rules.
  • Monitor pipelines and ensure high system uptime & data accuracy.
4. Data Integration & Automation
  • Build connectors between tracking tools (GA4, PostHog, Mixpanel, Amplitude) and warehouse.
  • Automate marketing and product reporting workflows.
  • Support ingestion of pixel tracking data, ad conversions, campaign performance metrics.
  • Develop APIs or microservices for data sharing across internal systems.
Required Skillset
Must-Have (At Least 5):
  • Strong experience with ClickHouse (or Redshift/BigQuery/Snowflake with willingness to switch).
  • Hands-on experience with data streaming (Kafka, Redpanda, Kinesis, Pulsar).
  • Proficiency in SQL (advanced queries, window functions, optimization).
  • Experience building pipelines using tools like Airflow, dbt, Prefect, or custom scripts.
  • Experience integrating with marketing + product analytics tools (GA4, GTM, tracking SDKs).
  • Proficiency in Python for ETL, API ingestion, and automation.
  • Understanding of event-driven data models (events, properties, sessions, users).
  • Experience with version control (Git) and CI/CD workflows for data.
Good-to-Have (Bonus Skills):
  • Experience with ClickHouse cluster administration (replication, sharding).
  • Knowledge of marketing metrics (ROAS, CAC, LTV, attribution).
  • Familiarity with BI tools (Tableau, Looker, Power BI, Metabase).
  • Experience in fintech, ad-tech, or other high-volume tracking environments.
  • Familiarity with tracking QA tools, SDK instrumentation, or tag management.
Benefits

  1. Flexi Working Hours

  2. Medical, Optical and Dental Benefits

  3. Body Screening and Insurance Claims

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