Data Engineer (5–7 Years Experience)

We are looking for a passionate Data Engineer to join our team and help build scalable, reliable, and high-performance data solutions. The ideal candidate will have hands-on expertise with cloud platforms (AWS & GCP – Hybrid) and a strong background in designing, developing, and managing data pipelines.

Role and Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines and data workflows.
• Manage and optimize data storage, processing, and retrieval on hybrid cloud environments (AWS & GCP).
• Collaborate with data scientists, analysts, and business stakeholders to provide clean, reliable, and scalable data solutions.
• Ensure data quality, governance, and security across systems.
• Implement automation and monitoring for data processes to ensure high availability and performance.
• Troubleshoot issues, optimize workflows, and support real-time and batch data processing needs.

Profile:

• 5–7 years of proven experience as a Data Engineer.
• Strong proficiency in SQL, Python, and data pipeline frameworks.
• Hands-on experience with cloud platforms (AWS & GCP – Hybrid environments).
• Experience with Big Data technologies (e.g., Spark, Hadoop, Dataproc, EMR).
• Good knowledge of data warehousing concepts and tools like BigQuery, Redshift, Snowflake (any).
• Solid understanding of CI/CD, DevOps practices, and version control systems (Git).
• Excellent problem-solving and communication skills.

Nice to Have:

• Exposure to containerization (Docker, Kubernetes).
• Knowledge of streaming platforms (Kafka, Pub/Sub, Kinesis).
• Familiarity with data governance frameworks and compliance standards.
• Experience in machine learning pipelines or working with AI/ML teams.
• Ability to thrive in a fast-paced, agile environment.

Please send your resume to careers@itti.com or submit it via the form below.