Senior Data Engineer

Vivantify Technology Solutions India Pvt. Ltd.; Hyderabad; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Collaborative environment

Challenging projects

Job summary

Vivantify Technology Solutions India Pvt. Ltd. is seeking a Senior Data Engineer to design and maintain cloud data solutions on Google Cloud Platform, focusing on BigQuery, Cloud SQL, and scripting.

You will develop data pipelines, scripts, and workflows while collaborating with Agile and DevOps teams in a fast-paced environment. The role requires strong hands-on experience with GCP data services, advanced SQL/PLSQL, and scripting skills.

Qualifications

• 5–7 years of data engineering experience with GCP BigQuery.
• Strong SQL/PLSQL and scripting skills (Shell or Python).
• Experience with relational databases and cloud data platforms.

Responsibilities

• Develop and maintain data solutions using GCP BigQuery and Cloud SQL.
• Write and optimize complex SQL/PLSQL scripts.
• Develop automation scripts using Shell or Python for data processing.
• Work with relational databases and data pipelines.
• Support data workflows using GCP data services.
• Collaborate with Agile and DevOps teams on changes and incidents.
• Troubleshoot data-related issues in production environments.

Skills

GCP BigQuery

Advanced SQL/PLSQL

Shell scripting or Python

Relational databases

GCP data engineering

Data processing

Agile/DevOps

Tools

GCP Cloud Composer

GCP Dataflow

GCP Dataform

Cloud Storage (GCS)

Google Cloud SDK

Airflow

Job description

About The Role

We are looking for a Senior Data Engineer with strong hands‑on expertise in Google Cloud Platform (GCP), BigQuery, SQL/PLSQL, and scripting. The role focuses on developing and supporting cloud‑based data solutions while working with GCP data services, relational databases, and data processing tools in an Agile/DevOps environment.

Location: Pan India

Experience: 5–7 Years

Job Description

The role involves working with GCP BigQuery and cloud data platforms to develop and maintain data solutions. Strong hands‑on experience with BigQuery scripting or Cloud SQL, along with advanced SQL/PLSQL and shell scripting or Python, is required.

The engineer will work with relational databases and may contribute to data engineering workflows using services such as Cloud Storage, BigQuery, Airflow/Cloud Composer, Dataflow, and Dataform. The role also involves supporting operational processes and collaborating within multidisciplinary Agile and DevOps teams.

Key Responsibilities

• Develop and maintain data solutions using GCP BigQuery and Cloud SQL
• Write and optimize complex SQL/PLSQL scripts
• Develop automation and data processing scripts using Shell scripting or Python
• Work with relational database management systems
• Support data engineering workflows using GCP data services
• Work with Cloud Composer/Airflow, Dataflow, and Dataform
• Troubleshoot and support data‑related incidents and production issues
• Collaborate with Agile and DevOps teams on changes, incidents, and problem management

Required Skills

• GCP BigQuery
• GCP Cloud Composer
• GCP Dataflow
• GCP Dataform
• Advanced SQL/PLSQL scripting
• Shell scripting or Python
• Relational databases/RDBMS
• GCP data engineering
• Data processing and workflow orchestration
• Agile and DevOps practices

Good to Have

• GCP Data Engineer certification
• GCP Cloud Storage (GCS)
• Google Cloud SDK
• Control‑M or other ETL tools
• Airflow/Cloud Composer
• Juniper ingestion process awareness
• Experience with Change, Incident, and Problem Management

Mandatory Skills

• GCP BigQuery
• GCP Cloud Composer
• GCP Dataflow
• GCP Dataform
• Advanced SQL/PLSQL scripting
• Shell scripting or Python
• RDBMS experience

Candidate Profile

The ideal candidate should have 5–7 years of data engineering experience with strong hands‑on expertise in GCP BigQuery, SQL/PLSQL, and scripting. The candidate should be comfortable working with relational databases and collaborating within Agile, multidisciplinary DevOps teams while supporting operational and production requirements.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients