qode

qode is a company that focuses on unlocking global opportunities and unleashing potential through no-code solutions. They provide tools and services to help individuals and businesses develop software without the need for traditional coding skills.

Internet Software & Services

Information Technology

10 open positions

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Data Engineer

1 day, 21 hours ago

Vietnam

Full-time

Senior

Data Engineer

Software Development

Apache Airflow Apache Spark AWS Databricks dbt Docker EC2 GitHub Actions GitLab CI Kubernetes MongoDB PostgreSQL Python SQL Terraform

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qode

Internet Software & Services

View All Jobs 10

Description

Design and build production-grade data pipelines using batch, streaming, incremental, and CDC-based patterns.
Build ingestion workflows from operational sources such as MongoDB, PostgreSQL/RDS, APIs, and event streams.
Design and operate data migration workflows, including full load, incremental sync, CDC replay, cutover, rollback, and reconciliation.
Convert semi-structured or NoSQL data into reliable relational and analytical models.
Build and optimize data processing jobs using Python, PySpark, Spark SQL, SQL, and Databricks.
Orchestrate workflows using Apache Airflow and manage connectors using Airbyte or similar tools.
Maintain data quality, observability, alerting, backfills, and production reliability across pipelines.
Work with AWS services such as S3, Lambda, IAM, EC2, RDS, DMS, SQS, and Kinesis.
Build modular, testable transformation layers using dbt where appropriate.
Document data flows, source-to-target mappings, pipeline behavior, data contracts, and operational runbooks.

Requirements

5+ years of experience in Data Engineering, not only analytics, BI, or reporting.
Proven hands-on ownership of production data pipelines, including design, implementation, deployment, monitoring, debugging, and backfill/recovery.
Strong experience building ETL/ELT pipelines with full load, incremental load, and CDC-based patterns.
Strong understanding of CDC correctness, including idempotency, deduplication, ordering, deletes/tombstones, late-arriving events, replay, and reconciliation.
Hands-on experience with OLTP databases, preferably MongoDB and PostgreSQL/RDS.
Practical experience with schema design, including relational modeling, constraints, indexing, normalization/denormalization, and source-to-target mapping.
Experience migrating or syncing data between operational systems and analytical platforms, including validation, cutover, rollback, and reconciliation.
Strong SQL skills, including joins, CTEs, window functions, query optimization, and debugging incorrect results.
Strong Python or PySpark experience for data processing, automation, validation, and pipeline development.
Hands-on AWS data pipeline experience using services such as S3, Lambda, IAM, RDS, DMS, SQS, Kinesis, Glue, or equivalent.
Advanced dbt modeling, metrics layer, semantic layer, or self-service analytics.
BI/dashboarding experience.
Great Expectations, Soda, or other data quality frameworks.
Databricks Unity Catalog or governance/catalog tools.
Terraform or Infrastructure as Code.
Docker, Kubernetes, or EKS.
CI/CD using GitHub Actions, GitLab CI, or similar.
Data warehouse modeling for analytics marts.

Benefits

Attractive salary range, with room to negotiate for a strong fit.
Hybrid/remote-friendly culture with flexible work location.
Flexible hours and async teamwork to protect focus time.
Work equipment support.
Allowance for certification and skill development.
Year-end bonus and performance-based rewards.
22 paid leaves from your 5th year, including the option to take a full month off.
Career growth with personal coaching sessions.

Interested in this position?

Apply directly on the company website

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