We are seeking a highly skilled Senior Data Engineer with 7 years of experience in designing developing and maintaining scalable data platforms and analytics solutions The ideal candidate will have strong expertise in Data Engineering ETLELT development Apache Spark Databricks SQL Python Data Warehousing Data Modeling Streaming Data and Azure Data Services The role requires building reliable highperformance data pipelines that enable business intelligence advanced analytics and AIML initiatives
Key Responsibilities
Design develop and optimize ETLELT data pipelines for largescale data processing
Build and maintain data solutions using Apache Spark Databricks SQL and Python
Develop robust batch and realtime data ingestion frameworks
Design and implement enterprise data warehouses data marts and lakehouse architectures
Create and maintain logical and physical data models to support business requirements
Ensure data quality governance security and compliance across data platforms
Develop streaming data solutions using eventdriven architectures and realtime processing frameworks
Utilize Azure Data Factory Azure Synapse Analytics and related Azure data services for orchestration and transformation
Collaborate with data scientists analysts and business stakeholders to deliver datadriven solutions
Monitor troubleshoot and optimize data platform performance and reliability
Required Skills
Data Engineering Data Architecture
ETLELT Pipeline Development
Apache Spark Databricks
SQL Python
Data Warehousing Data Modeling
Data Quality Governance
Streaming Data Processing
Azure Data Factory ADF
Azure Synapse Analytics
Azure Data Lake Storage ADLS
Performance Tuning Optimization
Preferred Qualifications
Bachelors or Masters degree in Computer Science Engineering Data Science or related field
Experience with CICD DevOps and cloudbased data platforms
Azure Data Engineer Associate certification preferred
Robust analytical problemsolving and stakeholder management skills
📌 Specialist - Data Engineering (Bengaluru)
🏢 LTM
📍 Bengaluru
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