We are seeking a talented Data Engineer to build the infrastructure to support the collection, storage, and processing of large data sets, ensuring reliable access to data for decision-making and innovation. The Data Engineer will design, build, and maintain data pipelines to efficiently collect, store, and process data across systems.
Requirements
- Proven experience as a Data Engineer, Data Analyst, or in a similar data-related role.
- Strong knowledge of data engineering principles, data modeling, and data architecture.
- Proficiency with databases (e.g., SQL, NoSQL) and data processing frameworks (e.g., Apache Spark, Hadoop).
- Experience with ETL tools and processes, including data integration and transformation.
- Familiarity with cloud platforms and data storage solutions (e.g., AWS, Azure, Google Cloud).
- Knowledge of programming languages such as Python, Java, or Scala for data processing and scripting.
- Experience with data warehousing technologies (e.g., Redshift, BigQuery, Snowflake) and tools for building data pipelines.
- Strong analytical and problem-solving skills with a focus on optimizing data processes.
- Ability to work in a fast-paced environment and collaborate with cross-functional teams.
- Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees or certifications are a plus.
Benefits
- Competitive salary and benefits package, including health, dental, and vision coverage.
- Dynamic, collaborative, and innovative work environment where contributions make an impact.
- Opportunities for career growth and skill development in the fast-growing data and technology sectors.
- Flexible work environment with a focus on work-life balance.
Originally posted on Himalayas