Job Summary :

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure reliable data availability, quality, and accessibility for analytics and decision-making.

You will play a key role in transforming raw data into structured, usable formats while optimizing data workflows for performance and scalability.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines and ETL/ELT processes

- Build and optimize data architectures, data lakes, and data warehouses

- Ensure data quality, integrity, and consistency across systems

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

- Collaborate with data scientists and analysts to support data modeling and analytics use cases

- Monitor and troubleshoot data pipeline performance and failures

- Implement data governance, security, and compliance best practices

- Optimize data storage and processing for cost and performance efficiency

- Document data flows, systems, and processes

Required Skills & Qualifications :

- 5 to 7 years of experience in Data Engineering or similar roles

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

- Experience with ETL/ELT tools ( Apache, Informatica)

- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud)

- Familiarity with big data technologies (e.g., Apache Spark, Hadoop, Kafka)

- Understanding of data modeling concepts and database design

- Experience working with structured and unstructured data

- Strong problem-solving and analytical skills

Preferred Qualifications :

- Experience with real-time data processing and streaming frameworks

- Knowledge of data governance and data security practices

- Certifications in cloud or data engineering technologies

- Bachelors or Masters degree in Computer Science, Engineering, or a related field