
Data Architect and Engineer: Lead Big Data Projects
4 days ago
This senior data engineer position is responsible for designing, developing, and maintaining large-scale data processing systems. The successful candidate will have a strong technical background in cloud-based technologies, big data processing, and data warehousing.
The role requires the ability to collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver high-quality solutions that meet business requirements.
- Design and implement scalable data pipelines using cloud-based services such as AWS Lambda and Apache Airflow.
- Develop and maintain complex ETL workflows comprising SCD, deduplications, aggregations etc., utilizing tools like Apache Beam or Spark.
- Collaborate with data architects to design and implement database schema, ensuring optimal performance and scalability.
- Work closely with data engineers to ensure smooth operation of data processing systems, identify bottlenecks, and implement improvements.
- Bachelor's degree in Computer Science, Engineering, or related field (Master's degree is a plus).
- Minimum 7-9 years of IT experience, with at least 5 years of experience on Cloud-related projects.
- Excellent knowledge of AWS Services, including S3, EC2, EMR, Serverless, Athena, AWS Glue, Lambda, Step Functions, Aurora, Singlestore, RedShift, Snowflake, Hadoop, Hive, Spark, YARN, Scala, Python, Shell Scripts, PySpark, Linux, Windows, and SQL.
- Associate Level and Professional Level AWS Certification a plus.
- Strong understanding of orchestration tools, such as Apache Airflow, and expertise in developing ETL workflows.
This role offers a competitive salary package, opportunities for career growth and professional development, and a dynamic work environment.
OthersThe ideal candidate will be a quick learner, self-motivated, and focused on delivering outcomes for a fast-growing team and firm. Prior experience working in a large media company would be an added advantage.
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