Overview
On Site
$60 - $67
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 3 Year(s)
No Travel Required
Skills
Ab Initio
Python
Java
PySpark
Apache Spark
Amazon Web Services
Amazon S3
athen
Glue
Job Details
Role: AB initio Developer
Location: Jersey City, NJ (onsite)
Mode of Hire: Contract for long term
Rate: $65
Job Description:
Mandatory Skills: Python, Java, Ansi SQL, Abinitio, Spark
- Experience in building data integration solutions using the AB initio ETL .
- Creating efficient and scalable data processing pipelines and applications using Apache spark
- Proficient in understanding distributed computing principles.
- Creating ,optimizing, and maintaining directed acyclic graphs(DAGs) in Python to define and orchestrate data pipelines and automated tasks.
- Implementing , scheduling, and monitoring complex data workflows, ensuring timely and accurate data processing.
- Identifying, diagnosing, and resolving issues within airflow work flows, and optimizing DAGs for performance, scalability, and resource efficiency.
- Good understanding of cloud technology. Must have strong technical experience in Design Mapping Specifications HLD LLD.
- Must have the ability to relate to both business and technical members of the team and possess excellent communication skills.
- Leverage internal tools and SDKs, utilize AWS services such as S3, Athena, and Glue, EMR and integrate with our internal Archival Service Platform for efficient data purging and Lifecycle management.
- Collaborate with the data engineering team to continuously improve data integration pipelines, ensuring adaptability to evolving business needs.
- Building data integration solutions using the Ab initio ETL .
- Creating efficient and scalable data processing pipelines and applications using Apache spark.
- Implementing, scheduling and monitoring complex data workflows, ensuring timely and accurate data processing.
- Implement and manage agents for monitoring, logging, and automation within aws environments
- Handling migration from Pyspark to AWS
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