Senior Data Engineer

Skills: DBT + Python + Pyspark + SQL + Data Modelling Concepts + any Cloud + GCP

Experience: 5-8 yrs

Location: Greater Noida, Hyderabad, Pune

Job Summary

We are seeking an experienced

Senior Data Engineer

with a strong background in designing, building, and managing scalable data solutions. The ideal candidate should have hands-on expertise in developing data pipelines, data transformation frameworks, cloud-based data platforms, and modern analytics ecosystems. This role requires deep knowledge of SQL, data modeling, DBT, and cloud technologies, with preference given to candidates experienced in Google Cloud Platform (GCP).

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and enhance data transformation workflows using DBT.
• Develop and optimize data models to support analytical and business reporting requirements.
• Perform data validation, cleansing, reconciliation, and data quality checks.
• Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
• Manage and support cloud-based data engineering workloads, preferably on GCP.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Monitor data pipelines, troubleshoot failures, and ensure data reliability and availability.
• Implement best practices for data governance, documentation, and metadata management.
• Support automation, deployment, and version control processes using CI/CD and Git.
• Mentor junior team members and provide technical guidance on data engineering best practices.

Required Skills

• Strong experience in

Data Engineering

and data warehouse development.

• Hands-on expertise with

DBT (Data Build Tool)

.

• Advanced proficiency in

SQL

with experience in performance tuning and query optimization.

• Strong understanding of

Data Modeling

, including Dimensional Modeling Star Scheme and Snowflake Schema

• Experience designing and implementing

ETL/ELT pipelines

.

• Hands-on experience with at least cloud platform:

• GCP (Preferred): BigQuery, Dataflow, Dataproc, Cloud Composer, Google Cloud Storage (GCS)

• OR equivalent services on AWS/Azure.
• Strong programming skills in

Python

for data processing and automation.

• Experience working with large-scale data transformation and loading technologies.

• Strong experience in Data Engineering and data warehouse development
• Hands-on expertise with DBT (Data Build Tool)
• Advanced proficiency in SQL with performance tuning and query optimization
• Strong understanding of Data Modeling including Dimensional Modeling Star Scheme and Snowflake Schema
• Experience designing and implementing ETL/ELT pipelines
• Hands-on experience with at least cloud platform (GCP preferred: BigQuery, Dataflow, Dataproc, Cloud Composer, GCS)
• Strong programming skills in Python for data processing and automation
• Experience working with large-scale data transformation and loading technologies
• 5-8 years of experience
• GCP cloud platform experience