Senior Data Engineer

Location: Noida Sector 27

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 one cloud platform:  GCP (Preferred) :
Big Query, 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.