Job Title: Data Engineer

Experience Required: 5+ Years
Location:[Onsite / Remote / Hybrid – specify]
Employment Type: Full-time

Job Summary

We are looking for an experienced Data Engineer with 5+ years of hands-on experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for analytics and decision-making.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines

• Build and optimize data models for analytics and reporting

• Ingest data from multiple sources including APIs, databases, and third-party systems

• Ensure data quality, integrity, and reliability across data platforms

• Optimize data storage and query performance in data warehouses and data lakes

• Collaborate with analytics, BI, and data science teams to support business use cases

• Implement data governance, security, and compliance best practices

• Monitor and troubleshoot data pipelines and workflows

• Automate data processing and deployment using CI/CD practices

• Create and maintain technical documentation for data systems

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field

• 5+ years of professional experience as a Data Engineer or in a similar role

• Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)

• Hands-on experience with data warehousing solutions (Snowflake, Redshift, BigQuery, or Azure Synapse)

• Experience with ETL/ELT tools (Airflow, dbt, Informatica, Talend, or similar)

• Solid understanding of data modeling (dimensional, star/snowflake schemas)

• Experience working with large datasets and distributed data systems

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)

• Familiarity with big data technologies (Spark, Kafka, Hadoop)

• Knowledge of data lakes and lakehouse architectures

• Experience with API integrations and streaming data pipelines

• Understanding of data governance, security, and privacy standards

• Relevant certifications in cloud or data engineering are a plus

Key Skills

• Data Pipeline Development

• SQL & Python

• Cloud Data Platforms

• ETL / ELT Processes

• Data Modeling

• Performance Optimization

• Data Quality & Monitoring

• Problem Solving & Collaboration