Ab Initio Developer/Data Engineer
Collabera - Charlotte, North Carolina, United States, 28245
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Overview
Ab Initio Developer/Data Engineer
role at
Collabera Join to apply for the
Ab Initio Developer/Data Engineer
role at
Collabera This range is provided by Collabera. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range
$60.00/hr - $70.00/hr Direct message the job poster from Collabera SME - Talent Acquisition | Hiring to make the world more open and connected
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, GCP (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 (GCP) 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 reportingparticularly for
Teradata
and
BigQuery Develop and manage
data ingestion processes
into
GCP BigQuery
to handle large datasets Monitor and manage
GCP 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 GCP certification(s) is a plus Background in Banking/Financial Technology - Deposits, Payments, Cards domain, etc. Seniority level
Seniority level
Entry level Employment type
Employment type
Contract Job function
Job function
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