Data Engineer

Position : Data Engineer

Location : Princeton NJ

• Day 1 Onsite

Duration : 1 Years

Mandatory Skills

Key Skills & Technologies

Programming Languages : Python (primary) SQL

Cloud Platforms : AWS (S3 Glue Lambda Redshift EC2 EMR)

Data Tools : Apache Spark Pandas PySpark Airflow

Databases : PostgreSQL MySQL NoSQL (e.g. DynamoDB)

ETL & Workflow Orchestration : AWS Glue Apache Airflow

Version Control : Git

DevOps & CI / CD : Basic understanding of CI / CD pipelines and infrastructure as code (e.g. Terraform CloudFormation)

JD

Data Pipeline Development - Design build and maintain scalable and reliable data pipelines to ingest process and transform data from various sources.

Data Integration & Management - Integrate structured and unstructured data from internal and external systems.

Ensure data quality consistency and availability across platforms.

Cloud-Based Data Engineering- Leverage AWS services (e.g. S3 Lambda Glue Redshift EMR) to build cloud-native data solutions.

Optimize cloud resources for performance and cost-efficiency.

Programming & Automation - Use Python for data manipulation ETL workflows and automation of data tasks.

Develop reusable scripts and modules for data processing.

Collaboration & Stakeholder Engagement

Work closely with data scientists analysts and business teams to understand data needs.

Translate business requirements into technical solutions.

Monitoring & Optimization - Monitor data pipelines and troubleshoot issues proactively.

Continuously improve performance scalability and reliability of data systems.

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