Databricks Developer

Hoonartek; Mumbai Suburban; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Hoonartek is seeking a hands-on Databricks Developer to design and optimize data pipelines. You will work closely with business teams to translate requirements into scalable data solutions and deliver end-to-end data engineering across on-site Mumbai and offshore Pune/Remote setups.

The ideal candidate has 4–5 years of experience in data engineering, strong Databricks/PySpark skills, and proficiency in Python and SQL, with a solid understanding of Spark and cloud platforms.

Qualifications

• 4–5 years hands-on experience in Data Engineering / Databricks development.
• Strong hands-on experience with Databricks and PySpark.
• Proficiency in Python and SQL.
• Strong understanding of Apache Spark and distributed data processing.
• Experience working with cloud-based data platforms.

Responsibilities

• Develop, implement, and maintain data engineering pipelines using Databricks.
• Work hands-on with Databricks, PySpark, Spark SQL, and SQL.
• Build scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Collaborate with business stakeholders to gather, understand, and clarify requirements.
• Translate business requirements into technical specifications and data solutions.
• Collaborate with onsite/offshore teams to deliver projects effectively.
• Troubleshoot and optimize data pipelines and Databricks jobs for performance and reliability.
• Implement data quality, validation, monitoring, and error-handling mechanisms.
• Participate in code reviews, technical discussions, and solution design.
• Understand existing data platforms and contribute to their enhancement and modernization.

Skills

Databricks

PySpark

Python

SQL

Apache Spark

Data warehousing

Cloud platforms

Communication

Independent work

Cross-team collab

Job description

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Job Description – Databricks Developer

Experience:4–5 years
Locations:Pune & Mumbai
Work Model:1 position onsite in Mumbai; 2 positions offshore from Pune/Remote

Role Overview

We are looking forhands-on Databricks Developerswith 4–5 years of experience in building and supporting scalable data engineering solutions. The candidate should have strong technical expertise in Databricks and be comfortableworking directly with business teams to understand requirements, translate them into technical solutions, and deliver end-to-end data solutions.

Key Responsibilities

• Develop, implement, and maintaindata engineering pipelines using Databricks.
• Work hands-on withDatabricks, PySpark, Spark SQL, and SQL.
• Build scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Work with business stakeholders togather, understand, and clarify requirements.
• Translate business requirements into technical specifications and data solutions.
• Collaborate with onsite/offshore teams to deliver projects effectively.
• Troubleshoot and optimize data pipelines and Databricks jobs for performance and reliability.
• Implement data quality, validation, monitoring, and error-handling mechanisms.
• Participate in code reviews, technical discussions, and solution design.
• Understand existing data platforms and contribute to their enhancement and modernization.

Required Skills

• 4–5 years of hands-on experience in Data Engineering / Databricks development.
• Strong hands-on experience withDatabricks and PySpark.
• Good proficiency inPython and SQL.
• Strong understanding ofApache Sparkand distributed data processing.
• Good understanding of data warehousing and data modeling concepts.
• Experience working with cloud-based data platforms.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to interact directly with business teams and gather requirements.
• Ability to work independently as well as collaboratively across onsite and offshore teams.

Location / Deployment

• 1 Developer – Mumbai:Onsite atSun Pharma office, Goregaon.
• 2 Developers – Pune / Remote:Offshore positions with flexibility to work from Pune or remotely.
• Candidates should be comfortable collaborating across business, onsite, and offshore teams.

Ideal candidate:A hands-on Databricks Developer who can not only code and build pipelines but alsospeak with business stakeholders, understand their requirements, and convert them into practical technical solutions.

Job Requirement

Job Description – Databricks Developer

Experience:4–5 years
Locations:Pune & Mumbai
Work Model:1 position onsite in Mumbai; 2 positions offshore from Pune/Remote

Role Overview

We are looking forhands-on Databricks Developerswith 4–5 years of experience in building and supporting scalable data engineering solutions. The candidate should have strong technical expertise in Databricks and be comfortableworking directly with business teams to understand requirements, translate them into technical solutions, and deliver end-to-end data solutions.

Key Responsibilities

• Develop, implement, and maintaindata engineering pipelines using Databricks.
• Work hands-on withDatabricks, PySpark, Spark SQL, and SQL.
• Build scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Work with business stakeholders togather, understand, and clarify requirements.
• Translate business requirements into technical specifications and data solutions.
• Collaborate with onsite/offshore teams to deliver projects effectively.
• Troubleshoot and optimize data pipelines and Databricks jobs for performance and reliability.
• Implement data quality, validation, monitoring, and error-handling mechanisms.
• Participate in code reviews, technical discussions, and solution design.
• Understand existing data platforms and contribute to their enhancement and modernization.

Required Skills

• 4–5 years of hands-on experience in Data Engineering / Databricks development.
• Strong hands-on experience withDatabricks and PySpark.
• Good proficiency inPython and SQL.
• Strong understanding ofApache Sparkand distributed data processing.
• Good understanding of data warehousing and data modeling concepts.
• Experience working with cloud-based data platforms.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to interact directly with business teams and gather requirements.
• Ability to work independently as well as collaboratively across onsite and offshore teams.

Location / Deployment

• 1 Developer – Mumbai:Onsite atSun Pharma office, Goregaon.
• 2 Developers – Pune / Remote:Offshore positions with flexibility to work from Pune or remotely.
• Candidates should be comfortable collaborating across business, onsite, and offshore teams.

Ideal candidate:A hands-on Databricks Developer who can not only code and build pipelines but alsospeak with business stakeholders, understand their requirements, and convert them into practical technical solutions.