Data Engineer

Hiring: Data Engineer | Remote

Experience: 4+ Years

Location: Remote

We're looking for a Data Engineer who can build scalable data platforms, optimize data pipelines, and enable data-driven decision-making across the organization.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop and optimize batch and real-time data processing workflows.
• Build reliable data models and data architecture for analytics and reporting.
• Ensure data quality, governance, security, and performance.
• Work with large datasets using modern data engineering tools.
• Collaborate with Data Analysts, Data Scientists, Product, and Engineering teams.
• Monitor, troubleshoot, and optimize data infrastructure.

Required Skills

• 4+ years of Data Engineering experience.
• Strong proficiency in Python and SQL.
• Hands-on experience with ETL/ELT development and data modeling.
• Experience with Spark, Kafka, Hadoop, or similar big data technologies.
• Experience with data warehouses such as Snowflake, Redshift, or BigQuery.
• Strong understanding of database design and performance optimization.

Preferred Skills

• Experience with AWS, GCP, or Azure.
• Hands-on experience with Apache Airflow or similar orchestration tools.
• Experience building real-time streaming pipelines.
• Familiarity with Databricks and Lakehouse architectures.
• Knowledge of data governance, monitoring, and observability tools.
• Experience working with AI/ML data pipelines is a plus.