We are seeking a talented Big Data Engineer to join our data engineering team. In this role, you will be responsible for designing, developing, and optimising scalable big data pipelines and architectures. You will work closely with data scientists, data analysts, and business stakeholders to ensure that high-volume data is processed, stored, and made accessible for analytical and operational use
Key Responsibilities:
* Architect and maintain scalable data pipelines using AWS services like S3, Redshift, Glue, Kinesis, and EMR.
* Integrate data from various sources, ensuring accessibility and consistency for analytics.
* Build real-time streaming solutions using Kinesis, Kafka, or Flink.
* Develop ETL workflows with tools like AWS Glue or Apache Spark.
* Ensure efficient storage, query optimization, and cost management for large datasets.
* Work closely with data scientists and analysts to enable data-driven insights and machine learning.
* Implement monitoring and automation for data pipelines using AWS CloudWatch and CloudFormation.
* Ensure data governance and security, adhering to privacy and compliance standards.
Required Skills & Experience:
* Experience with S3, Redshift, Glue, Kinesis, EMR, Lambda.
* Strong background with Hadoop, Spark, Kafka.
* Proficiency in building ETL pipelines using AWS Glue, Apache Spark, or Python.
* Experience with Kinesis, Kafka, or similar technologies.
* Programming: Proficiency in Python, Java, or Scala.
* Familiarity with CloudFormation, Terraform, or AWS CDK for managing cloud resources.
* Skills in structuring and optimizing data for performance.
Preferred Qualifications:
* AWS Certified Big Data – Specialty, or other AWS-related certifications.
* Experience with tools like Apache Atlas or AWS Glue Data Catalog.
* Familiarity with Apache Flink and similar streaming platforms.
* Experience integrating data systems with machine learning workflows.
If you are an experienced Big Data Engineer with expertise in AWS cloud services and big data technologies and are eager to work on large-scale, impactful projects, we’d love to hear from you!
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