Big Data Engineer

We are seeking a skilled Big Data Engineer to join our team in India. The ideal candidate will have extensive experience in designing and implementing robust big data solutions that support our data-driven decision-making processes.

Job description

• 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 using AWS Glue, Kinesis, and Kafka.
• Work with structured and unstructured data to develop efficient data pipelines.
• Optimize query performance in SQL-based and NoSQL databases (Redshift, DynamoDB, Aurora, PostgreSQL, etc.).
• Ensure data security, compliance, and governance using IAM roles, KMS encryption, and AWS Lake Formation.
• Automate data workflows using Terraform, CloudFormation, or CDK.
• Monitor and troubleshoot data pipelines, ensuring high availability and performance.
• Collaborate with Data Scientists, Analysts, and Engineers to provide robust data solutions.

Required Skills:

• Strong experience with AWS Data Services (Glue, Redshift, S3, Lambda, Kinesis, Athena).
• Proficiency in Python, SQL, and Scala
• Experience with ETL/ELT pipeline design and data warehousing concepts.
• Strong knowledge of relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB).
• Familiarity with DevOps practices and CI/CD tools (Jenkins, GitHub Actions).
• Experience with Kafka or Kinesis for real-time data streaming.
• Knowledge of Terraform, CloudFormation, or CDK for infrastructure automation.
• Hands-on experience with data security and governance.
• Strong analytical and problem-solving skills