Full Stack Data Engineer

ECS | Enterprise Change Specialists; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

ECS | Enterprise Change Specialists seeks a Senior Full-Stack Data Engineer to design, develop, and manage scalable data pipelines on cloud-based platforms. The role focuses on data warehouse/lakehouse design, workflow automation, and BI support.

Ideal candidates bring Snowflake, DBT, and modern data tech expertise, with emphasis on performance, security (data segregation), governance, and automation across data platforms.

Qualifications

• Bachelor’s degree in CS/DS/IS; Master’s preferred.
• 5–7 years in Data Engineering or Analytics Engineering.
• Proven track record designing cloud-based data platforms and pipelines.
• Strong problem-solving, analytics, and collaborative mindset.

Skills

Snowflake

DBT

Data Integration

ETL/ELT

APIs

Data Modeling

Data Architecture

Pipeline Optimization

Cloud Platforms

Terraform

CloudFormation

SQL

Python

Git

GitHub Actions

Jenkins

Docker

Kubernetes

Kafka

Kinesis

Apache Airflow

Data Segregation Policies

Security (IAM)

Encryption

GDPR

CCPA

Education

Bachelor’s degree in CS/DS/IS

Master’s degree preferred

Tools

Snaplogic

GitHub Actions

Jenkins

Docker

Kubernetes

Kafka

Kinesis

Apache Airflow

Terraform

CloudFormation

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.