Databricks Data Specialist - R01569707

Brillio

🇮🇳 India

Hybrid

1 month ago

Databricks
PySpark
SQL
Delta Lake
Unity Catalog
Apache Spark
Data Modeling
Azure
Azure Data Factory
Azure Synapse
Microsoft Purview
Microsoft Fabric
AWS
AWS Glue
AWS Lambda
Step Functions
Apache Airflow
dbt
Fivetran
Informatica
Apache Kafka
Power BI
Collibra
Alation
GCP
BigQuery
Agile
Airflow

1 month ago

Auto apply with Likeremote

Not scoredNo CV on file. Upload one and this job gets a score out of 100.Upload CV

Data Specialist

Primary Skills

Databricks Engineer

Role Overview

We are seeking a highly skilledDatabricks Engineer to design, develop, and optimize scalable data engineering and analytics solutions on theDatabricks Lakehouse Platform. The ideal candidate will possess strong expertise inDatabricks, PySpark, and SQL, with hands-on experience building batch and real-time data pipelines, implementing Lakehouse architectures, and ensuring data governance and performance optimization.

Key Responsibilities

Design, develop, and maintain end-to-end data pipelines usingDatabricks andPySpark.
Build and implementLakehouse architectures utilizing Bronze, Silver, and Gold data layers.
Develop and manageDelta Lake solutions with ACID transactions, schema enforcement, and data reliability features.
Create, monitor, and optimizeDelta Live Tables (DLT) pipelines.
Implement scalable and efficient data ingestion processes usingAuto Loader.
Develop and manage real-time data processing solutions usingStructured Streaming.
Orchestrate, schedule, and monitor data workflows usingDatabricks Workflows.
Design and implement Lakehouse data models to support reporting, analytics, and business intelligence requirements.
Establish and enforce data governance, security, and access controls usingUnity Catalog.
Optimize Spark jobs, SQL queries, and overall platform performance to ensure efficiency and scalability.
Collaborate with cross-functional teams, including data analysts, architects, and business stakeholders, to deliver high-quality data solutions.

Required Skills (Must Have)

Databricks Platform
Delta Lake
Delta Live Tables (DLT)
Unity Catalog
Databricks Workflows
PySpark and Apache Spark
Structured Streaming
Auto Loader
SQL
Lakehouse Data Modeling
Strong understanding of data engineering best practices and scalable data architectures

Preferred Skills (Good to Have)

Azure Ecosystem

Azure Data Factory (ADF)
Azure Synapse Analytics
Microsoft Purview
Microsoft Fabric

AWS Ecosystem

AWS Glue
AWS Lambda
AWS Step Functions

Data Engineering & Integration

Apache Airflow
DBT
Fivetran
Informatica

Streaming & Analytics

Apache Kafka
Power BI

Data Governance

Collibra
Alation

GCP

BigQuery

Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related discipline.
Proven experience in designing and implementing cloud-based data engineering solutions and scalable data pipelines.
Strong analytical, troubleshooting, and problem-solving capabilities.
Experience working in agile and collaborative environments.
Excellent communication and stakeholder management skills.

Preferred Candidate Profile

Hands-on experience with modern Lakehouse architectures and enterprise-scale data platforms.
Strong understanding of data governance, security, and compliance frameworks.
Experience delivering both batch and real-time data processing solutions.
Ability to work independently while collaborating effectively across global teams.

Key Technologies

Specialization

Databricks Engineering: Lead Data Engineer

Job requirements