in Computer Science, Information Technology, or a related field
Must-Have Skills:
Strong hands-on experience with
SQL
and
advanced SQL
techniques
Proficiency in
Python
or
Dig-Dag
for data pipeline development and automation
Experience working with
Customer Data Platforms (CDP)
- preferably
Treasure Data
Familiarity with
PrestoSQL
or similar query engines
Strong understanding of
data engineering
principles and best practices
Hands-on experience with
ETL development
and
data wrangling
Experience in
coding and testing data pipelines
for ingesting, transforming, and integrating data from multiple sources
Good-to-Have Skills:
Experience with other
CDP tools
like
ActionIQ
Exposure to
Big Data technologies
such as
Hadoop, Cassandra, MongoDB
Working knowledge of
cloud platforms
-
Azure
,
AWS
, or
Google Cloud
Familiarity with
Apache Airflow, AWS Glue, Dataproc
, or other ETL orchestration tools
Experience in
data modeling and architecture
Understanding or experience in
AI/ML concepts
Basic knowledge of
data visualization tools
like
Power BI
Understanding of
data warehousing
principles, including SCD concepts
Roles & Responsibilities:
###
Core Responsibilities:
Design, develop, and maintain robust
data pipelines
and
ETL processes
Implement efficient
data integration
from diverse sources such as APIs, databases, and cloud services
Work on
end-to-end implementation
of CDP projects including go-live and post-deployment support
Contribute to
CDP BAU operations
, and troubleshoot issues in production environments
Conduct
data quality checks
, validation, and performance optimization
Lead or support
automation
of recurring tasks to improve efficiency
###
Stakeholder Collaboration:
Collaborate with
data analysts, data scientists
, and other cross-functional teams
Ensure data is
accessible, secure, and high-quality
Translate business requirements into
technical specifications
###
Project & Process Management:
Estimate efforts and provide input on
project timelines and deliverables
Maintain thorough documentation including
source-target mappings
,
test cases
, and
configuration details
Ensure compliance with internal
engineering processes
,
coding standards
, and
security practices
###
Knowledge & Skills Development:
Stay updated with emerging technologies and best practices in
data engineering
Complete all
mandatory training
and pursue relevant
technical certifications
Contribute to internal
knowledge repositories
, SharePoint, and libraries
Key Deliverables:
High-performance, production-grade
data pipelines
Consistent and accurate
data integration
across platforms
Well-documented
code, configurations, and design artifacts
Efficient issue resolution and
minimal downtime
Demonstrated improvement in
pipeline run-time and resource utilization
Performance Measures:
Adherence to project
schedules
and
SLAs
Reduction in
defects post-delivery
Fewer
non-compliance issues
Improved
pipeline efficiency
(speed, resource use)
Faster detection and resolution of
data quality issues
Successful completion of
certifications
and
training milestones
Keywords:
SQL, Python, Dig-Dag, Treasure Data, CDP, PrestoSQL, ETL, Data Engineering, Cloud, Data Pipeline, Hadoop, Airflow, Data Integration, Big Data, Power BI, Data Modeling
###
Skills
SQL,CDP,Python Or Dig-Dag,Presto or Sql, Data engineering
###
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.
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Job Detail
Job Id
JD3707770
Industry
Not mentioned
Total Positions
1
Job Type:
Full Time
Salary:
Not mentioned
Employment Status
Permanent
Job Location
KA, IN, India
Education
Not mentioned
Experience
Year
Apply For This Job
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.