
Senior Data Architect
7 days ago
Our team is seeking a highly skilled Senior Big Data Engineer to join our global organization.
Key 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.
We are looking for a motivated and passionate individual with excellent software development and programming skills in Python, PySpark, and/or Scala. Strong proficiency in ETL schedulers, such as StepFunction or Apache Airflow, is also required.
Required Skills and 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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