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1 day ago
We are seeking a talented Senior Big Data Engineer to lead our team's efforts in designing and developing cutting-edge Big Data and Cloud technologies.
Job DescriptionThe ideal candidate will have 4-6+ years of experience in Data Engineering, with a strong background in ETL, Big Data, and Cloud technologies. They will be responsible for designing, developing, and managing complex ETL jobs and pipelines, as well as driving large-scale data processing pipelines.
Responsibilities- Design and develop innovative solutions using Big Data technologies, including ETL pipelines, Python, Hadoop, Spark, and Hive.
- Create and drive large-scale ETL jobs and pipelines in AWS-based environments, utilizing services such as EMR, Glue, Lambda, and Athena.
- Develop expertise in integrating data from multiple sources and driving complex data processing pipelines.
- Analyze and optimize large-scale datasets, leveraging distributed computing frameworks like Spark.
The successful candidate will have strong software development and programming skills in Python, PySpark, and/or Scala, as well as proficiency in ETL schedulers, such as StepFunction or Apache Airflow.
Qualifications- 4-6+ years of experience in Data Engineering, with a strong understanding of the ETL cycle.
- Excellent knowledge of Big Data engineering, ETL, Data Modeling, SQL Scripting, and Data Architecture.
- Strong understanding of data warehousing concepts, relational databases (e.g., PostgreSQL, MySQL), and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse).
- Experience with containerization technologies, CI/CD pipelines, and IAC tools like Docker, Jenkins, Terraform.
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