Ab Initio Developer with Python & PySpark jobs in United States
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Accord Technologies Inc ยท 3 months ago

Ab Initio Developer with Python & PySpark

Accord Technologies Inc is seeking a skilled Ab Initio Developer with strong experience in Python and PySpark to join their data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining large-scale data integration and processing solutions, ensuring high performance and data quality.

Information Technology & Services

Responsibilities

Develop and maintain ETL workflows using Ab Initio
Collaborate with data analysts and other stakeholders to gather requirements and translate them into effective data pipelines
Implement data processing solutions utilizing Python and PySpark for big data processing tasks
Optimize existing data workflows for performance and reliability
Perform data validation, cleaning, and transformation activities
Troubleshoot and resolve data pipeline issues in production environments
Document technical specifications and develop best practices for data processing

Qualification

Ab InitioPythonPySparkBig data technologiesSQLData modelingProblem-solvingCommunicationTeamwork

Required

Proven experience as an Ab Initio Developer in a data engineering environment
Strong proficiency in Python programming
Hands-on experience with PySpark (Spark with Python API)
Good understanding of big data technologies and concepts (Hadoop, Spark, etc.)
Familiarity with SQL and relational databases
Experience with data modeling and schema design
Strong problem-solving skills and attention to detail
Excellent communication and teamwork skills

Preferred

Experience with cloud platforms such as AWS, Azure, or GCP
Knowledge of other big data tools and frameworks (e.g., Kafka, Hive)
Familiarity with orchestration tools like Airflow or Oozie

Company

Accord Technologies Inc

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We are one of the pioneers in Information technology consulting and staffing industry.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase