Responsibilities

- Design, build, and maintain scalable data pipelines and ETL processes.
- Work with large datasets to extract insights and support data-driven decision making.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Ensure data quality and integrity through testing and validation processes.
- Optimize data storage and retrieval processes to improve performance.

Skills and Qualifications

- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4-10 years of experience in data engineering or related roles.
- Proficiency in SQL and experience with database management systems like MySQL, PostgreSQL, or Oracle.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Solid programming skills in languages such as Python, Java, or Scala.
- Familiarity with data warehousing solutions like Snowflake or Redshift.
- Experience with cloud platforms such as AWS, GCP, or Azure for data storage and processing.
- Knowledge of data modeling, data architecture, and data governance best practices.

📌 Data Engineer - Onsite Australia (Bengaluru)
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📍 Bengaluru