Job Description
Job Title: Data Integration Engineer (Snowflake / DBT / Oracle EBS)
Experience: 10+ Years
Industry: Jewelry Manufacturing / Retail Manufacturing / Supply Chain
Location: Pune or Nagpur Office
Job Summary
We are seeking an experienced
Data Integration Engineer
to design, build, and support reliable data movement and integration solutions for a jewelry manufacturing company handling high-volume, near real-time operational data. This role is
purely focused on data integration , ensuring seamless and secure data flow between ERP systems, cloud data platforms, and downstream analytics systems.
The ideal candidate will have strong hands-on experience with
Snowflake SQL, DBT, Oracle E-Business Suite (EBS) , and enterprise-grade data transfer mechanisms such as
SFTP and batch/real-time integrations . A solid understanding of
manufacturing and ERP data
is critical.
Key Responsibilities
Design, develop, and maintain end-to-end data integration pipelines between
Oracle EBS , Snowflake, and other enterprise systems
Build and optimize
SQL-based transformations in Snowflake
using
DBT,
following best practices
Manage and support
data ingestion frameworks
using file-based transfers (SFTP), batch loads, and near real-time feeds
Ensure reliable movement of
live and transactional data
with proper reconciliation, validation, and error handling
Work closely with ERP, manufacturing, finance, and operations teams to understand data sources and integration needs
Develop and maintain
data models
that support reporting, analytics, and operational use cases
Monitor data pipelines for performance, latency, and failures; implement proactive alerting and recovery mechanisms
Ensure data quality, consistency, and completeness across integrated systems
Document data flows, mappings, transformation logic, and operational runbooks
Support audits, compliance, and security requirements related to enterprise data movement
Required Skills & Qualifications
5+ years
of hands-on experience in
data integration/data engineering roles
Strong expertise in
Snowflake SQL
(performance tuning, complex joins, analytics functions)
Proven experience with
DBT
(models, tests, macros, incremental loads, deployments)
Solid working knowledge of
Oracle E-Business Suite (EBS)
data models (Finance, Manufacturing, Supply Chain preferred)
Strong understanding of
ERP-driven data flows
and enterprise data architectures
Hands-on experience with
SFTP-based data transfers , flat files, CSVs, and structured data formats
Knowledge of data movement concepts such as
CDC, batch vs near-real-time processing , and scheduling
Experience handling
high-volume and live operational data
with strict SLAs
Strong SQL debugging, data validation, and reconciliation skills
Familiarity with Unix/Linux environments and basic shell scripting
Nice-to-Have Skills
Experience in
manufacturing or jewelry/retail manufacturing domains
Exposure to
ETL/ELT tools
or orchestration frameworks (Airflow or similar)
Knowledge of data security, encryption, and secure file transfer standards
Experience supporting downstream BI or analytics platforms
Understanding of master data, transactional data, and reference data management