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Open nowPosted 420 days ago

Full Stack Data Engineer

ECS | Enterprise Change Specialists158 open roles

Where
Hyderabad, India
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Your applicationOpen nowFull Stack Data EngineerECS | Enterprise Change Specialists · Hyderabad, India

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ECS | Enterprise Change Specialists's own form.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 420 days ago

The posting

Job Summary:

We are seeking a Senior Full-Stack Data Engineer to design, develop, and manage scalable data pipelines, storage, and transformation solutions. The role involves working on cloud-based data platforms, data warehouse / lakehouse design, workflow automation, and data integration to support business intelligence and analytics. The ideal candidate will have strong expertise in Snowflake, DBT, and modern data technologies with a focus on performance, security (especially data segregation policies), governance, and automation.

Must-Have Skills (Mandatory):

* Proven expertise in Snowflake and DBT (hands-on experience required).

* Experience with Snaplogic, ETL/ELT pipelines, APIs, and data integration.

* Strong knowledge of data modeling, architecture, and pipeline optimization.

* Expertise in cloud platforms (AWS/Azure/GCP) and automation (Terraform, CloudFormation).

* Advanced SQL and Python programming skills.

* Hands-on experience with CI/CD tools (Git, GitHub Actions, Jenkins) and containerization (Docker, Kubernetes).

* Knowledge of real-time & batch processing (Kafka, Kinesis, Apache Airflow).

* Proven ability to implement data segregation policies, security (IAM, VPN, Encryption), and compliance (GDPR, CCPA).

Good-to-Have Skills (Optional):

* Experience with workflow orchestration tools like Dagster or Prefect.

* Background in data governance frameworks and metadata management.

* Exposure to Agile delivery methodologies (Scrum, Kanban).

* Strong stakeholder collaboration skills for both technical and business discussions.

Qualifications & Experience:

* Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (Master’s preferred).

* Experience: 5–7 years in Data Engineering, Analytics Engineering, or related fields.

* Proven track record in designing, developing, and maintaining large-scale, cloud-based data platforms and pipelines.

* Strong problem-solving, analytical, and proactive mindset with an aptitude for continuous learning.

* Ability to manage projects efficiently while collaborating across multiple teams and stakeholders.

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