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Exponentia Team
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Data Engineer

Data Engineer

Exponentia Team

4 - 9 years

5 - 8 Lacs

mumbai

Posted:1 day ago| Platform:

Apply

Skills Required

metadata agile json dms apache microsoft analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly skilled and motivated

Data Engineer

with 4+ years of experience in designing and implementing scalable data solutions across Banking and Insurance domains. The ideal candidate will have hands-on expertise in building ETL pipelines, data lakes, and data warehouses using modern cloud platforms and orchestration tools. This role demands strong problem-solving skills, a passion for data architecture, and the ability to collaborate across teams to deliver high-impact data solutions.

Key Responsibilities:

Design and develop scalable, metadata-driven ETL pipelines using tools like
Azure Data Factory
,
Apache Airflow
, and
Databricks
.
Architect and implement
data lakes
,
data marts
, and
feature stores
across
AWS
,
Azure
, and
GCP
environments.
Optimize data pipelines for performance, cost-efficiency, and security using
PySpark
,
SQL
, and
Python
.
Implement
Change Data Capture (CDC)
and
Slowly Changing Dimensions (SCD Type 1 2)
for batch and near real-time ingestion.
Collaborate with cross-functional teams to gather requirements, resolve dependencies, and deliver end-to-end data solutions.
Automate reporting workflows and regulatory reporting layers to improve data accessibility and reduce manual effort.
Lead migration projects from legacy systems to cloud platforms, ensuring data integrity and lineage.
Monitor and troubleshoot production pipelines, ensuring high availability and reliability of data systems.

Technical Skills Required:

Languages:
Python, SQL, PySpark, Spark
Cloud Platforms:
- AWS:
  S3, EMR, Redshift, Glue, DMS, Lambda
- Azure:
  ADLS, ADF, Databricks
- GCP:
  BigQuery, Cloud Functions
Data Warehouses:
Amazon Redshift, Google BigQuery, Snowflake
Orchestration Tools:
Apache Airflow, Azure Data Factory
Development Tools:
Git (GitHub, Bitbucket), Jenkins, GitHub Actions, Azure DevOps
Data Formats:
Parquet, Avro, JSON, CSV, Hudi

Preferred Qualifications:

MCA or equivalent degree in Computer Science or related field.
AWS Certified Developer Associate
or equivalent cloud certification.
Experience in
regulatory reporting
,
banking data marts
, and
insurance domain analytics
.
Strong communication skills with the ability to present insights to both technical and non-technical stakeholders.

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Exponentia Team

Business Consulting and Services

Mumbai Maharashtra

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Data Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Data Engineer

Key Responsibilities:

Azure Data Factory

Apache Airflow

Databricks

data lakes

data marts

feature stores

AWS

Azure

GCP

PySpark

SQL

Python

Change Data Capture (CDC)

Slowly Changing Dimensions (SCD Type 1 2)

Technical Skills Required:

Languages:

Cloud Platforms:

AWS:

Azure:

GCP:

Data Warehouses:

Orchestration Tools:

Development Tools:

Data Formats:

Preferred Qualifications:

AWS Certified Developer Associate

regulatory reporting

banking data marts

insurance domain analytics

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Data Engineer

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