About the Role
A Senior Data Engineer with deep expertise in databases and cloud-native data warehousing. The role requires designing and optimizing large-scale data solutions, leading technical initiatives, and ensuring robust pipelines across AWS and GCP.
Key Responsibilities
Database Design: Design normalized, scalable schemas and enforce best practices for relational and analytical workloads.
Data Warehouse Solutions: Implement optimized DWH models and scalable architectures.
ETL/ELT Pipelines: Build and optimize pipelines using SQL and PySpark.
Technical Leadership: Mentor engineers and drive technical initiatives independently.
Client Communication:
Translate requirements into actionable strategies and communicate clearly with stakeholders.
Production Support: Oversee scheduling, monitoring, and optimization of pipelines.
Documentation & SOPs: Create and maintain technical documentation, design guidelines, and SOPs to ensure consistency and knowledge sharing across the team.
Required Tech Stack & Skills
Robust database skills with AWS RDS (MS SQL Server, PostgreSQL).
Deep expertise in AWS Redshift and AWS Glue.
Hands-on experience with GCP BigQuery, Google Cloud Storage, Dataflow, and Dataproc.
Advanced proficiency in SQL and PySpark.
Proven track record in senior or lead data engineering roles.
📌 Lead Data Engineer (Maharashtra)
🏢 Learningmate Solutions
📍 Maharashtra
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