Maharashtra Loader loader Jobs – 98 Open Jobs Today

Databricks Engineers
Flentas Technologies —Pune, Maharashtra
- Azure
- SQL
- AWS
Quick apply
3d
HCM Technical Fast Formula
BirlaSoft —Hinjawadi, Pune, Maharashtra
- Oracle
- Computer Science
- SQL
1d
T&T| Engg| Databricks| Mumbai| Consultant
Deloitte —Mumbai, Maharashtra
- Azure
- DevOps
- Master's degree
7d
Oracle Fusion HCM Consultant – Payroll
ACSE Solutions —Pune, Maharashtra
- Full-time
- Oracle
- Master's degree
- Analysis skills
Oracle Fusion HCM – Core HR Consultant
ACSE Solutions —Pune, Maharashtra
- Full-time
- Oracle
- Master's degree
- Bachelor's degree
Principal Consultant – BI /DI
AxionConnect —Mumbai, Maharashtra
- Windows
- SQL
Application Development & Support Senior Analyst (Oracle Technical Consultant)
Vertiv —Pune, Maharashtra
- Oracle
- Computer Science
- DevOps
Oracle Fusion HCM Consultant – Talent, Recruitment & Learning
ACSE Solutions —Pune, Maharashtra
- Full-time
- Oracle
- Master's degree
- Bachelor's degree
Oracle DBA L3
JRK Infotech —Belapur, Maharashtra
- Full-time
- Oracle
- Databases
- SQL
Oracle Fusion HCM Consultant – Benefits & Compensation
ACSE Solutions —Pune, Maharashtra
- Full-time
- Oracle
- Master's degree
- Analysis skills
SBI - SME SUPPORT (DBA & INFRA)
Financial Software & Systems (FSS) —Mumbai, Maharashtra
- Oracle
- Engineering
- SQL
SBI SME SUPPORT (DBA)-BL
Financial Software & Systems (FSS) —Mumbai, Maharashtra
- Oracle
- Engineering
- SQL

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Databricks Engineers

Flentas Technologies
Pune, Maharashtra

Quick apply

Job details

3 days ago

Qualifications

CI/CD
Data modeling
Azure
Spark
Git
SQL
AWS
Continuous integration
Unity
S3
Kafka
AI
Python
Design patterns

Full job description

Company Profile

Flentas is an AI, Data and cloud-first consulting and engineering company specializing in building, modernizing, and managing AI, Data and applications on AWS and other modern cloud platforms.

With strong delivery capabilities across Data, AI, Cloud, DevOps, and managed services, Flentas is now focused on driving the next phase of growth through solution-led offerings and ecosystem-driven scale.

About the Role

We are looking for a skilled Databricks Engineer to join our Data & AI practice. You will design, build, and optimize data pipelines and lakehouse solutions on the Databricks platform, working closely with data scientists, analysts, and cloud architects to deliver scalable, production-grade data products.

Key Responsibilities

Design and implement data pipelines using Databricks, Apache Spark, and Delta Lake
Build and maintain Lakehouse architectures (Bronze / Silver / Gold layers)
Develop and optimize ETL/ELT workflows using PySpark, SQL, and Databricks notebooks
Collaborate with data scientists to productionize ML models using MLflow and Databricks ML Runtime
Implement data quality frameworks, monitoring, and observability practices
Manage Databricks clusters, job scheduling, and cost optimization
Integrate Databricks with cloud platforms (AWS / GCP / Azure) and data sources (Kafka, ADLS, S3, BigQuery)
Enforce data governance, security, and access control using Unity Catalog
Participate in code reviews, technical design discussions, and documentation

Required Skills & Experience

4–8 years of overall data engineering experience, with at least 2 years hands-on with Databricks
Strong proficiency in PySpark, Spark SQL, and Python
Experience with Delta Lake — schema evolution, ACID transactions, time travel
Hands-on with Databricks Workflows, Auto Loader, and DLT (Delta Live Tables)
Solid understanding of Lakehouse design patterns and medallion architecture
Experience integrating Databricks with at least one major cloud (AWS / GCP / Azure)
Familiarity with CI/CD for data pipelines (Git, Databricks Asset Bundles or similar)
Knowledge of data modeling — dimensional, Data Vault, or OBT patterns

Good to Have

Databricks Certified Associate or Professional certification
Experience with Unity Catalog and data governance at scale
Exposure to MLflow, Feature Store, or Model Serving
Experience with dbt on Databricks
Knowledge of streaming use cases (Structured Streaming, Kafka integration)
Prior experience in a consulting or delivery environment

Soft Skills

Strong problem-solving and analytical thinking
Ability to work independently and communicate effectively with cross-functional stakeholders
Comfortable handling ambiguity and shifting priorities in a delivery-focused environment

Quick apply

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loader loader jobs in maharashtra

Databricks Engineers

HCM Technical Fast Formula

T&T| Engg| Databricks| Mumbai| Consultant

Oracle Fusion HCM Consultant – Payroll

Oracle Fusion HCM – Core HR Consultant

Principal Consultant – BI /DI

Application Development & Support Senior Analyst (Oracle Technical Consultant)

Oracle Fusion HCM Consultant – Talent, Recruitment & Learning

Oracle DBA L3

Oracle Fusion HCM Consultant – Benefits & Compensation

SBI - SME SUPPORT (DBA & INFRA)

SBI SME SUPPORT (DBA)-BL

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