Full Stack Data Engineer

Telangana, Hyderabad, India

Open 5 months, first seen by us 154 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting

Design and develop scalable data pipelines and transformation solutions
Design data warehouse and lakehouse architecture on cloud platforms
Automate workflows and integrate data from multiple sources
Implement data segregation, security and compliance policies

From the employer’s posting

design, develop, and manage scalable data pipelines, storage, and transformation solutions

data warehouse / lakehouse design

workflow automation, and data integration to support business intelligence and analytics

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

What you’ll bring

All qualifications

Core experience

5–7 years in data engineering or related fields
Hands-on expertise in Snowflake and DBT
Snaplogic, ETL/ELT pipelines, APIs and data integration experience
Advanced SQL and Python programming
Cloud platforms (AWS/Azure/GCP) with Terraform or CloudFormation

Qualification wording

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

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

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

Advanced SQL and Python programming skills.

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

Education & alternatives

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.

Apply at ECS | Enterprise Change Specialists

Posting record

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Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 3, 2026154 days ago
Recorded sightings: 118
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 154

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

ECS | Enterprise Change Specialists is hiring

14 open jobs

Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
dbt
Docker
GCP
Kafka
Kubernetes
Prefect
Snowflake
Terraform
Airflow
Dagster

Where the posting names them

* 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).

* 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.

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):

Must-Have Skills (Mandatory): * Proven expertise in Snowflake and DBT (hands-on experience required). * Experience with Snaplogic, ETL/ELT pipelines, APIs, and data integration.

* 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).

* 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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original 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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