Wadgaon Budruk Pune Maharashtra Cost control analyst Jobs – 114 Open Jobs Today

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Databricks Developer / Data Architect

EXL Service -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

CI/CD
Performance tuning
Data modelling
Azure
DevOps
Spark
NoSQL
MongoDB
SQL
AWS
Analysis skills
PostgreSQL
Terraform
Continuous integration
Scrum
Unity
ETL
Agile
Data science
DynamoDB
Communication skills
Python
Design patterns

Full job description

Job Description: Job Description: Databricks Developer / Data Architect

Position Title

Databricks Developer / Data Architect

Location

Hybrid/ Remote

Employment Type

Full-Time / Contract

Job Summary

We are seeking an experienced Databricks Developer / Data Architect to design, implement, and optimize modern data platforms and ETL pipelines using Databricks and cloud-native technologies. The ideal candidate will have strong expertise in data architecture, Lakehouse implementation, Medallion Architecture, and scalable ETL development across Azure and AWS environments.

The role involves setting up Databricks workspaces, configuring data integrations and Lakehouse Federation, building enterprise-grade ETL workflows, and enabling high-performance analytics solutions.

Key Responsibilities

Data Architecture & Modeling

Design and implement scalable enterprise data architectures using Databricks Lakehouse platform
Configure and manage Databricks workspaces, clusters, access controls, and governance
Implement Medallion Architecture (Bronze, Silver, Gold layers) for data processing and analytics
Set up and manage Lakehouse Federation and data connectors for multi-source integration
Develop logical and physical data models for structured and semi-structured datasets
Ensure data quality, security, scalability, and performance optimization

ETL Development

Develop and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Databricks workflows
Build reusable data ingestion frameworks for batch and streaming workloads
Optimize Spark jobs for performance, cost efficiency, and reliability
Integrate data from relational and NoSQL databases, cloud platforms, and external systems
Automate deployment and monitoring of ETL workflows

Cloud & Platform Engineering

Work with Azure and AWS cloud services to deploy and manage data solutions
Configure integrations with Snowflake, Postgres, MongoDB, DynamoDB, Cloudera, and Domino Server
Support CI/CD, infrastructure automation, and environment management

Required Skills & Qualifications

5+ years of experience in Data Engineering / Data Architecture
Strong hands-on experience with Databricks platform
Expertise in:
- Python
- Apache Spark
- PySpark
- SQL
Strong understanding of:
- Lakehouse Architecture
- Medallion Architecture
- Data Modeling
- ETL/ELT Design Patterns
Experience with cloud platforms:
- Microsoft Azure
- AWS
Experience integrating with:
- PostgreSQL
- DynamoDB
- MongoDB
- Snowflake
- Cloudera
- Domino Server
Knowledge of performance tuning and optimization in Spark/Databricks

Preferred Qualifications

Databricks Certification(s)
Experience with Delta Lake and Unity Catalog
Familiarity with streaming frameworks and real-time data processing
Knowledge of data governance and security best practices

Technical Stack

Databricks
Python
Spark / PySpark
SQL
Azure
AWS
Snowflake
PostgreSQL
MongoDB
DynamoDB
Cloudera

Soft Skills

Strong analytical and problem-solving abilities
Excellent communication and stakeholder management skills
Ability to work independently and collaboratively in fast-paced environments

Nice-to-Have

Experience with Terraform or Infrastructure as Code
Exposure to ML/data science platforms
Experience with orchestration tools such as Airflow or Azure Data Factory

Responsibilities: Job Description: Databricks Developer / Data Architect

Position Title

Databricks Developer / Data Architect

Location

Hybrid/ Remote

Employment Type

Full-Time / Contract

Job Summary

The role involves setting up Databricks workspaces, configuring data integrations and Lakehouse Federation, building enterprise-grade ETL workflows, and enabling high-performance analytics solutions.

Key Responsibilities

Data Architecture & Modeling

Design and implement scalable enterprise data architectures using Databricks Lakehouse platform
Configure and manage Databricks workspaces, clusters, access controls, and governance
Implement Medallion Architecture (Bronze, Silver, Gold layers) for data processing and analytics
Set up and manage Lakehouse Federation and data connectors for multi-source integration
Develop logical and physical data models for structured and semi-structured datasets
Ensure data quality, security, scalability, and performance optimization

ETL Development

Develop and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Databricks workflows
Build reusable data ingestion frameworks for batch and streaming workloads
Optimize Spark jobs for performance, cost efficiency, and reliability
Integrate data from relational and NoSQL databases, cloud platforms, and external systems
Automate deployment and monitoring of ETL workflows

Cloud & Platform Engineering

Work with Azure and AWS cloud services to deploy and manage data solutions
Configure integrations with Snowflake, Postgres, MongoDB, DynamoDB, Cloudera, and Domino Server
Support CI/CD, infrastructure automation, and environment management

Required Skills & Qualifications

5+ years of experience in Data Engineering / Data Architecture
Strong hands-on experience with Databricks platform
Expertise in:
- Python
- Apache Spark
- PySpark
- SQL
Strong understanding of:
- Lakehouse Architecture
- Medallion Architecture
- Data Modeling
- ETL/ELT Design Patterns
Experience with cloud platforms:
- Microsoft Azure
- AWS
Experience integrating with:
- PostgreSQL
- DynamoDB
- MongoDB
- Snowflake
- Cloudera
- Domino Server
Knowledge of performance tuning and optimization in Spark/Databricks

Preferred Qualifications

Databricks Certification(s)
Experience with Delta Lake and Unity Catalog
Familiarity with streaming frameworks and real-time data processing
Knowledge of data governance and security best practices

Technical Stack

Databricks
Python
Spark / PySpark
SQL
Azure
AWS
Snowflake
PostgreSQL
MongoDB
DynamoDB
Cloudera

Soft Skills

Strong analytical and problem-solving abilities
Excellent communication and stakeholder management skills
Ability to work independently and collaboratively in fast-paced environments

Nice-to-Have

Experience with Terraform or Infrastructure as Code
Exposure to ML/data science platforms
Experience with orchestration tools such as Airflow or Azure Data Factory

Qualifications: Preferred Qualifications

Databricks Certification(s)
Experience with Delta Lake and Unity Catalog
Familiarity with streaming frameworks and real-time data processing
Knowledge of data governance and security best practices

Technical Stack

Databricks
Python
Spark / PySpark
SQL
Azure
AWS
Snowflake
PostgreSQL
MongoDB
DynamoDB
Cloudera

Soft Skills

Strong analytical and problem-solving abilities
Excellent communication and stakeholder management skills
Ability to work independently and collaboratively in fast-paced environments

Nice-to-Have

Experience with Terraform or Infrastructure as Code
Exposure to ML/data science platforms
Experience with orchestration tools such as Airflow or Azure Data Factory

Apply Now

Refine Your Search

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