Full Stack Data Engineer

Tech ECS Limited; Kolkata District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Tech ECS Limited in Kolkata is looking for a Senior Full-Stack Data Engineer. This role involves designing and managing scalable data pipelines, focusing on cloud-based solutions and automation to enhance business intelligence efforts.

The ideal candidate has strong expertise in Snowflake and DBT. They should possess 5-7 years of experience in Data Engineering, along with advanced skills in SQL, Python, and cloud platforms. A Bachelor’s degree in a related field is required, with a Master’s preferred.

Qualifications

• 5-7 years of experience in Data Engineering or Analytics Engineering.
• Proven track record in designing and maintaining cloud-based data platforms.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, and manage scalable data pipelines.
• Work on cloud-based data platforms and workflow automation.
• Implement data segregation policies and security compliance.

Skills

Snowflake

DBT

ETL/ELT pipelines

AWS

Azure

GCP

SQL

Python

CI/CD tools

Docker

Kubernetes

Kafka

Kinesis

Apache Airflow

Education

Bachelor’s degree in Computer Science

Master’s degree in related field

Tools

Terraform

Git

GitHub Actions

Jenkins

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.