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Drevol
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DataEngineer

DataEngineer

Drevol

8 years

0 Lacs

vadodara gujarat india

Posted:1 week ago| Platform:

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Skills Required

data analytics ai engineering etl pipeline automation ml devops orchestration reporting design azure aws apache power salesforce audit sagemaker github gitlab programming redshift visualization automate powershell certifications gcp communication drive marketing finance

Work Mode

On-site

Job Type

Full Time

Job Description

Location:

Department:

Job Summary

Data, Analytics & MLOps Engineer

Key Responsibilities

Functional Area

Responsibilities

Data Engineering

- Design, develop, and maintain scalable data pipelines for ingestion, transformation, and quality. - Manage structured and unstructured data in Data Lakes (Azure, AWS S3, GCP).

ETL/ELT Orchestration

Fivetran

Automation & Workflow

Power Automate

Dashboards & BI

Power BI

Data Governance

Purview

MLOps Engineering

MLflow

DevOps & CI/CD

Azure DevOps

Collaboration

- Partner with data scientists, product teams, and business stakeholders to deliver insight-driven solutions.

Required Skills & Experience

2–8 years of experience in
Data Engineering
,
Analytics
, or
MLOps
roles.
Strong programming skills in
SQL
,
Python
, and optionally
Scala
or
R
.
Experience with
Cloud platforms
:
Azure
(Data Lake Gen2, Synapse, Fabric),
AWS
(Glue, S3, Redshift),
GCP
(BigQuery, Dataflow).
Hands-on with pipeline tools:
Fivetran
,
dbt
,
ADF
,
Apache Nifi
,
Kafka
.
Visualization expertise in
Power BI
,
Looker
,
Tableau
, or similar.
Experience with
Power Automate
,
Pipefy
, or
Salesforce Flow
to automate business processes.
Understanding of
data warehouse
concepts and dimensional modeling.
Working knowledge of
DataOps
,
MLOps
,
DevOps
, and related best practices.

Desirable Skills

Experience in
event-driven architectures
using
Apache Kafka
,
Event Hub
, or
Pub/Sub
.
Familiarity with
GenAI pipelines
,
RAG architecture
, and
vector databases
like
Pinecone
,
Weaviate
, or
Qdrant
.
Exposure to
Data Mesh
,
Data Fabric
, or
Modern Data Stack
.
Experience in
Salesforce Data Integration
,
Power Platform
, or
Microsoft Fabric
.
Hands-on with
PowerShell scripting
or
Bash
for automation.

Certifications Preferred

Microsoft Certified: Azure Data Engineer Associate / Azure AI Engineer Associate
AWS Certified Big Data or Machine Learning
GCP Professional Data Engineer
dbt Fundamentals / Power BI Data Analyst Associate

Soft Skills

Ownership mindset and ability to work in a fast-paced, ambiguous environment.
Strong verbal and written communication for stakeholder alignment.
Problem-solving skills with a business-outcome-driven mindset.

Opportunities

Drive enterprise transformation through modern data and AI platforms.
Work cross-functionally across
supply chain
,
customer insights
,
marketing analytics
, and
finance intelligence
.
Engage in real-world
GenAI readiness
,
Copilot integration
, and
agentic AI
deployments.

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