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Exponentia Team
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Data Engineer

Data Engineer

Exponentia Team

5 - 10 years

5 - 8 Lacs

mumbai

Posted:7 hours ago| Platform:

Apply

Skills Required

data modeling database design machine learning data quality microsoft aws monitoring sql data architecture python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly skilled Data Engineer with 5+ years of hands-on experience in building and maintaining scalable data pipelines, integrating data from multiple sources, and optimizing data architecture for analytics and machine learning. You will play a key role in designing, implementing, and maintaining our data infrastructure to ensure reliable, high-quality data for business decision-making, The ideal candidate will have a strong background in

data engineering, ETL development, and cloud-based data architectures

, with a passion for delivering high-quality data to power analytics and business insights.

Key Responsibilities

Requirements Gathering & Analysis

Design, develop, and maintain data pipelines and ETL/ELT processes using AWS services such as Glue, Lambda, S3, Redshift, and Athena .
Build and optimize
data architectures
using
Azure Databricks
,
Azure Data Lake
, and
Azure Synapse Analytics
.
Develop and manage
ETL/ELT workflows
leveraging
Azure Data Factory
and Databricks notebooks.
Develop and optimize data models (both relational and dimensional) for analytical efficiency.
Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
Integrate data from diverse sources including APIs, databases, third-party platforms, and cloud storage.
Ensure data quality, consistency, and reliability through robust validation and monitoring frameworks.
Implement best practices for data security, governance, and compliance.
Optimize data storage and retrieval performance using modern data processing frameworks.
Contribute to the continuous improvement of data engineering standards and automation processes.
Use AI and machine learning techniques to automate data quality checks, anomaly detection, and issue resolution.

Ideal Candidate Profile

bachelors/masters degree in Computer Science, Information Systems, Engineering, or a related field.
5+ years of experience as a Data Engineer or in a similar data-focused role.
Strong proficiency in SQL and experience with data modeling and database design (eg, PostgreSQL, Snowflake, BigQuery, Redshift)
Hands-on experience with
Azure Databricks
,
Azure Data Factory
, and
Azure Data Lake Storage (ADLS)
.
Deep understanding of
data modeling, ETL design
, and
data warehousing
concepts.
Proven expertise with AWS data services : Glue, Redshift, S3, Athena, Lambda, Step Functions, and CloudWatch
Hands-on experience with ETL frameworks (eg, Airflow, dbt, AWS Glue, Azure Data Factory).
Proficiency in Python or Scala for data processing and automation.
Experience with cloud platforms (AWS, Azure, or GCP) and related data services.
Familiarity with big data tools such as Spark, Hadoop, or Kafka.
Strong understanding of data warehousing concepts and best practices for data pipeline development.
Familiarity with DevOps practices , CI/CD for data workflows, and infrastructure-as-code tools (Terraform, CloudFormation)

Preferred Qualification

AWS certifications (eg, AWS Certified Data Analytics Specialty , Solutions Architect ) are a plus.
Experience with containerization and orchestration tools (Docker, Kubernetes).
Knowledge of data governance, data cataloging, and metadata management.
Exposure to machine learning pipelines or real-time data streaming.
Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Why Join Exponentia.ai

Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
Shape the Practice: Build a marquee capability from the ground up with full ownership
Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Ready to build the future of AI with us

Apply now and become a part of a next-gen tech company that s setting benchmarks in enterprise AI solutions.

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Data Engineer