TalentBridge
Overview
We are seeking a
Senior Analyst – Batch Operations
to join our team and support enterprise-level data operations and batch processing. The ideal candidate will have strong expertise in
ETL processes, scheduling tools, cloud-based frameworks (AWS/Airflow), and ServiceNow modules , with a proven track record in managing high-performing, high-availability solutions. This role requires close collaboration across IT and business teams to ensure seamless data operations and continuous improvement. Qualifications
Bachelor’s degree in Computer Science, Information Systems, or equivalent experience in data operations, ETL, and batch processing (financial services industry experience preferred).
Hands-on experience with
scheduling tools
such as AutoSys, BMC Control-M, or equivalent.
Strong expertise in
AWS
services, including
Airflow , supporting cloud-based ETL and real-time data pipelines.
Proficiency in
ServiceNow modules : Incident, Service Request, Change, Problem, Knowledge Management, and reporting.
Excellent communication and interpersonal skills; able to interact effectively with IT and business stakeholders.
Strong analytical and problem-solving skills, with the ability to deliver high-quality and accurate solutions under pressure.
Responsibilities
Manage data operations including
validation of incoming data sources, data integration, compilation, and distribution .
Ensure
data quality and accuracy ; establish KPIs and dashboards for monitoring and reporting.
Define and enforce
batch/ETL job lineage processes
to ensure compliance with policies.
Collaborate with data engineering teams to implement and maintain
operational controls .
Oversee the
integration of inbound/outbound data sources
to ensure reliability and scalability.
Identify opportunities for
optimization and automation
to support increasing complexity and business demand.
Provide
training and user support
for data/reporting issues and resolution management.
Monitor, triage, and assign
data operations work
via IT service desk, IT demand intake, and business partner channels.
Develop
frameworks and methodologies
for deploying DataOps solutions.
Contribute to the
vision and strategy of DataOps , including roadmaps, growth opportunities, and efficiency improvements.
Promote a strong culture of
documentation, governance, and operational excellence .
Consolidate and deliver
reports, KPIs, and metrics
for leadership visibility.
Recommend
alternative ETL solutions
when existing hardware/software cannot handle scale or complexity.
#J-18808-Ljbffr
We are seeking a
Senior Analyst – Batch Operations
to join our team and support enterprise-level data operations and batch processing. The ideal candidate will have strong expertise in
ETL processes, scheduling tools, cloud-based frameworks (AWS/Airflow), and ServiceNow modules , with a proven track record in managing high-performing, high-availability solutions. This role requires close collaboration across IT and business teams to ensure seamless data operations and continuous improvement. Qualifications
Bachelor’s degree in Computer Science, Information Systems, or equivalent experience in data operations, ETL, and batch processing (financial services industry experience preferred).
Hands-on experience with
scheduling tools
such as AutoSys, BMC Control-M, or equivalent.
Strong expertise in
AWS
services, including
Airflow , supporting cloud-based ETL and real-time data pipelines.
Proficiency in
ServiceNow modules : Incident, Service Request, Change, Problem, Knowledge Management, and reporting.
Excellent communication and interpersonal skills; able to interact effectively with IT and business stakeholders.
Strong analytical and problem-solving skills, with the ability to deliver high-quality and accurate solutions under pressure.
Responsibilities
Manage data operations including
validation of incoming data sources, data integration, compilation, and distribution .
Ensure
data quality and accuracy ; establish KPIs and dashboards for monitoring and reporting.
Define and enforce
batch/ETL job lineage processes
to ensure compliance with policies.
Collaborate with data engineering teams to implement and maintain
operational controls .
Oversee the
integration of inbound/outbound data sources
to ensure reliability and scalability.
Identify opportunities for
optimization and automation
to support increasing complexity and business demand.
Provide
training and user support
for data/reporting issues and resolution management.
Monitor, triage, and assign
data operations work
via IT service desk, IT demand intake, and business partner channels.
Develop
frameworks and methodologies
for deploying DataOps solutions.
Contribute to the
vision and strategy of DataOps , including roadmaps, growth opportunities, and efficiency improvements.
Promote a strong culture of
documentation, governance, and operational excellence .
Consolidate and deliver
reports, KPIs, and metrics
for leadership visibility.
Recommend
alternative ETL solutions
when existing hardware/software cannot handle scale or complexity.
#J-18808-Ljbffr