Full Stack Data Engineer

ECS | Enterprise Change Specialists; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

ECS | Enterprise Change Specialists in Hyderabad is seeking a Senior Full-Stack Data Engineer. The chosen candidate will design, develop, and manage scalable data pipelines and transformation solutions to support business intelligence.

Applicants should have strong expertise in Snowflake and DBT, along with experience in cloud platforms like AWS or Azure. A Bachelor's degree in a relevant field is required, along with 5–7 years in Data Engineering.

Qualifications

• 5–7 years of experience in Data Engineering, Analytics Engineering, or related fields.
• Proven track record in designing, developing, and maintaining large-scale cloud-based data platforms.
• Strong problem-solving and analytical mindset.

Responsibilities

• Design, develop, and manage scalable data pipelines, storage, and transformation solutions.
• Work on cloud-based data platforms and data integration to support business intelligence.
• Implement data segregation policies and ensure compliance with security regulations.

Skills

Snowflake

DBT

SQL

Python

AWS

ETL/ELT

Terraform

Docker

Kubernetes

Education

Bachelor's degree in Computer Science

Master's degree (preferred)

Tools

CI/CD tools (Git, GitHub Actions, Jenkins)

Snaplogic

Kafka

Apache Airflow

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.