Data Engineer

Responsibilities :

Design develop and maintain scalable ETL / ELT pipelines to support data processing and analytics.

Automate data ingestion and transformation workflows using APIs scripting and orchestration tools.

Implement automated health checks data quality validation and pipeline monitoring frameworks.

Utilize technologies such asPython SQL Snowflake SQL and Databricksfor data engineering and analysis.

Develop and maintain comprehensive documentation including :

Architectural and technical diagrams

Job schedules and dependencies

Data dictionaries and schema descriptions

Validation and testing methodologies

Collaborate with cross-functional teams to ensure smooth integration with business systems.

Implement and validate data specifications and business rules to meet functional and compliance requirements.

Deliver accurate and timely data exports and reporting deliverables.

Resolve outstanding data and process backlog items within defined timelines.

Required Skills :

DATA PROCESSINGDOCUMENTATIONSQL

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1