Ab Initio Developer/Data Engineer

  • Charlotte, NC
  • Posted 1 day ago | Updated 10 hours ago

Overview

On Site
$60.0000 - $70.0000
Full Time

Skills

Ab Initio
Google Cloud Platform (GCP)
BigQuery
ETl
SQL

Job Details

Job Title: Ab Initio Developer / Data Engineer
Location: Charlotte, NC (Hybrid 3Days Onsite)
Duration: 12 24 Months
Payrate: $60-70/hr

Job Summary:


We are seeking a highly skilled Ab Initio Developer / Data Engineer with extensive experience in large-scale data environments, cloud platforms, and enterprise-level systems. The ideal candidate will possess a strong background in Ab Initio, Teradata, Google Cloud Platform (Google Cloud Platform), and BigQuery, with a solid foundation in SQL and ETL development. Exceptional communication skills and the ability to work in Agile environments are essential.


Required Qualifications:



  • Minimum 7+ years of experience as a Data Engineer

  • 6+ years of hands-on experience with Ab Initio

  • 6+ years of experience working with Teradata

  • At least 3+ years of experience with GoogleCloud Platform (Google Cloud Platform)

  • 3+ years of experience with BigQuery

  • Strong expertise in SQL and ETL/ELT processes

  • Experience with Agile methodologies and tools like JIRA (3+ years)

  • Proven ability to interact and collaborate with technical stakeholders

  • Experience in enterprise-level environments

  • Excellent written and verbal communication skills


Day-to-Day Responsibilities:



  • Design, develop, and test robust and scalable data pipelines using Ab Initio

  • Implement and optimize ETL/ELT processes for high-performance data movement

  • Write, debug, and tune complex SQL queries for data extraction, transformation, aggregation, and reporting particularly for Teradata and BigQuery

  • Develop and manage data ingestion processes into Google Cloud Platform BigQuery to handle large datasets

  • Monitor and manage Google Cloud Platform resources for data processing and storage efficiency

  • Collaborate with cross-functional teams to define data architecture, flows, and design patterns

  • Continuously optimize cloud-based data workloads to improve performance and cost-effectiveness


Nice to Have:



  • Experience with Java/Python or other scripting languages for automation

  • Experience with Spark, Hadoop, MapR, Data Lake

  • Google Cloud Platform certification(s) is a plus

  • Background in Banking/Financial Technology Deposits, Payments, Cards domain, etc.


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