Senior Data Engineer

SANAARI SOFTWARE SOLUTIONS PRIVATE LIMITED; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A software solutions company is urgently hiring a Senior Data Engineer with hands-on experience in Databricks, AWS, and Apache Spark. The preferred candidate will have a Bachelor's degree and over 6 years in Data Engineering. Responsibilities include optimizing ETL processes and collaborating with data scientists. This position is available on a contract-to-hire basis, requiring immediate availability or notice period of up to 14 days.

Qualifications

• 6+ years of experience in Data Engineering.
• Strong proficiency in Databricks & Apache Spark.
• Hands-on experience with Unity Catalog.

Responsibilities

• Develop and optimize ETL processes using Databricks and Apache Spark.
• Design and implement efficient data models and schemas.
• Work with data scientists and analysts to build and deploy ML models.

Skills

Databricks projects

Databricks Unity Catalog

AWS Cloud

Apache Spark

SQL

Python or Scala

Data Governance

Big Data

Real-time streaming

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

Git

Databricks

Apache Spark

AWS

Azure

GCP

Job description

We are urgently hiring a Senior Data Engineer who can join immediately (or within 14 days’ notice). Please share suitable profiles ASAP.

Contract Details

• Duration: 6 Months to 1 year (Contract-to-Hire)

• Notice Period: Immediate to 14 days only

Mandatory Skills

Candidates must have demonstrated hands-on experience with:

• At least 2 end-to-end Databricks projects
• Databricks Unity Catalog (Data Governance)
• Minimum 3 years of Databricks experience
• AWS Cloud (working knowledge)

Role & Responsibilities

The Databricks Engineer will:

• Develop and optimize ETL processes using Databricks and Apache Spark
• Design and implement efficient data models and schemas
• Work with data scientists and analysts to build and deploy ML models
• Ensure data quality, consistency, and reliability across pipelines
• Optimize query performance and troubleshoot data processing issues
• Implement data security and access controls
• Stay updated with latest Databricks features and best practices
• Participate in code reviews and knowledge sharing
• Maintain documentation for data workflows
• Collaborate with business stakeholders to translate requirements into technical solutions

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, Data Science, or related field
• 6+ years of experience in Data Engineering
• Strong proficiency in Databricks & Apache Spark
• Excellent SQL and experience with Python or Scala
• Hands-on experience with Unity Catalog
• Strong understanding of big data & distributed computing
• Experience with AWS, Azure, or GCP
• Familiarity with Git version control
• Strong analytical and problem-solving skills
• Good communication and collaboration skills
• Knowledge of data warehousing & analytics concepts
• Understanding of data governance & compliance standards
• Experience with real-time streaming (optional but preferred)
• Ability to work in a fast-paced environment