About this role
The team is seeking a skilled Big Data Engineer to join their team in India. The ideal candidate will have extensive experience in designing and implementing robust big data solutions that support data-driven decision-making processes.
Key Responsibilities:
- Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and Apache Spark.
- Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena.
- Implement data ingestion, transformation, and storage solutions to ensure data quality and accessibility.
- Collaborate with data scientists and analysts to understand data requirements and deliver effective solutions.
- Monitor and troubleshoot data pipeline performance and implement enhancements as needed.
Required Skills & Qualifications:
- Strong experience with big data technologies such as Apache Spark and AWS services.
- Proficiency in programming languages such as Python or Java.
- Experience with data modeling, data warehousing, and ETL processes.
- Knowledge of SQL and experience with relational databases.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of relevant experience in big data engineering or a related field.
What we offer:
- Opportunity to work on cutting-edge technologies in a collaborative environment.
- Professional development and growth opportunities.
- A dynamic and supportive team culture.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.