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ECS ME

Full Stack Data Engineer

Hyderabad · Senior

Older listing - lower visibility likelyVerified listingPosted 38d ago

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97Experience

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Skills required

22 listed
CI/CDWorkflow AutomationBatch ProcessingApache AirflowSnowflake (Data Warehouse)Extract Transform Load (ETL)Application Programming Interface (API)Amazon Web Services+14 more
CI/CDWorkflow AutomationBatch ProcessingApache AirflowSnowflake (Data Warehouse)

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Job description

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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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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