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Data Engineer – BFSI Domain
Job Locations
IN-MH-Mumbai
Job area
IT & Digital
Employment type
Permanent or Fixed Term Contract
Industry
Banking & Financial Services
Workplace
On-Site
ID
2025-43991
Overview
Data Engineer – BFSI Domain
Responsibilities
Key Responsibilities
Develop and optimize ETL/ELT pipelines using Apache Spark, Apache Iceberg and Python
Orchestrate workflows with Apache Airflow and NiFi
Model, ingest and curate structured and semi-structured data in data lakes and warehouses
Implement and maintain data versioning, schema evolution and partition strategies in Iceberg
Build and maintain Google Cloud data solutions (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
Monitor job performance, troubleshoot data quality issues and tune cluster resources
Collaborate on CI/CD for data infrastructure (Terraform, Kubernetes, Docker)
Document pipelines, schemas and operational runbooks
Required Skills & Experience
5+ years in a Data Engineering role
Hands-on with
Apache Spark
,
Apache Iceberg
,
Python
and
SQL
Experience authoring DAGs in
Airflow
and streaming/batch flows in
NiFi
Solid understanding of data modeling, partitioning and indexing strategies
Familiarity with Linux, Git and RESTful APIs
Strong debugging, performance-tuning and troubleshooting skills
Qualifications
Key Responsibilities
Develop and optimize ETL/ELT pipelines using Apache Spark, Apache Iceberg and Python
Orchestrate workflows with Apache Airflow and NiFi
Model, ingest and curate structured and semi-structured data in data lakes and warehouses
Implement and maintain data versioning, schema evolution and partition strategies in Iceberg
Build and maintain Google Cloud data solutions (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
Monitor job performance, troubleshoot data quality issues and tune cluster resources
Collaborate on CI/CD for data infrastructure (Terraform, Kubernetes, Docker)
Document pipelines, schemas and operational runbooks
Required Skills & Experience
5+ years in a Data Engineering role
Hands-on with
Apache Spark
,
Apache Iceberg
,
Python
and
SQL
Experience authoring DAGs in
Airflow
and streaming/batch flows in
NiFi
Solid understanding of data modeling, partitioning and indexing strategies
Familiarity with Linux, Git and RESTful APIs
Strong debugging, performance-tuning and troubleshooting skills
Essential skills
Key Responsibilities
Develop and optimize ETL/ELT pipelines using Apache Spark, Apache Iceberg and Python
Orchestrate workflows with Apache Airflow and NiFi
Model, ingest and curate structured and semi-structured data in data lakes and warehouses
Implement and maintain data versioning, schema evolution and partition strategies in Iceberg
Build and maintain Google Cloud data solutions (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
Monitor job performance, troubleshoot data quality issues and tune cluster resources
Collaborate on CI/CD for data infrastructure (Terraform, Kubernetes, Docker)
Document pipelines, schemas and operational runbooks
Required Skills & Experience
5+ years in a Data Engineering role
Hands-on with
Apache Spark
,
Apache Iceberg
,
Python
and
SQL
Experience authoring DAGs in
Airflow
and streaming/batch flows in
NiFi
Solid understanding of data modeling, partitioning and indexing strategies
Familiarity with Linux, Git and RESTful APIs
Strong debugging, performance-tuning and troubleshooting skills
Experience
Required Skills & Experience
5+ years in a Data Engineering role
Hands-on with
Apache Spark
,
Apache Iceberg
,
Python
and
SQL
Experience authoring DAGs in
Airflow
and streaming/batch flows in
NiFi
Solid understanding of data modeling, partitioning and indexing strategies
Familiarity with Linux, Git and RESTful APIs
Strong debugging, performance-tuning and troubleshooting skills
Options
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