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Data Engineer (AWS)

Salary undisclosed

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At Insignia , we’re looking for a Data Engineer who can design, build, and manage end-to-end data pipelines on AWS . If you’re someone who thrives on transforming raw data into actionable insights, this is your moment to shine

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Here’s what we’re looking for:

AWS Expertise : You’ve built and managed scalable data pipelines using AWS services like S3, Glue, Lambda, Redshift, or EMR.

End-to-End Pipeline Mastery : From ingestion to transformation and delivery, you own the entire data lifecycle.

Strong SQL Skills : You’re fluent in querying and optimizing databases (PostgreSQL, MySQL, etc.).

ETL/ELT Experience : You know how to extract, transform, and load data efficiently.

Cloud-Native Tools : Familiarity with tools like Airflow, Terraform, or Kubernetes is a big plus.

Bonus Points For:

Experience with real-time data streaming (Kafka, Kinesis).

Knowledge of data warehousing solutions (Snowflake, BigQuery).

Hands-on involvement in GenAI or machine learning pipelines

If you’re ready to tackle exciting challenges and build the backbone of data-driven decisions, let’s connect. Surround yourself with a team that values innovation, collaboration, and your unique expertise

What we offer:

  • BPJS and Tax (pph21)
  • Hybrid arrangements (3:2)
  • Lunch and Dinner

At Insignia , we’re looking for a Data Engineer who can design, build, and manage end-to-end data pipelines on AWS . If you’re someone who thrives on transforming raw data into actionable insights, this is your moment to shine

.

Here’s what we’re looking for:

AWS Expertise : You’ve built and managed scalable data pipelines using AWS services like S3, Glue, Lambda, Redshift, or EMR.

End-to-End Pipeline Mastery : From ingestion to transformation and delivery, you own the entire data lifecycle.

Strong SQL Skills : You’re fluent in querying and optimizing databases (PostgreSQL, MySQL, etc.).

ETL/ELT Experience : You know how to extract, transform, and load data efficiently.

Cloud-Native Tools : Familiarity with tools like Airflow, Terraform, or Kubernetes is a big plus.

Bonus Points For:

✨ Experience with real-time data streaming (Kafka, Kinesis).

✨ Knowledge of data warehousing solutions (Snowflake, BigQuery).

✨ Hands-on involvement in GenAI or machine learning pipelines

If you’re ready to tackle exciting challenges and build the backbone of data-driven decisions, let’s connect. Surround yourself with a team that values innovation, collaboration, and your unique expertise

What we offer:

  • BPJS and Tax (pph21)
  • Hybrid arrangements (3:2)
  • Lunch and Dinner