Posted 12 months ago
For companies:
For professionals:
For everyone:
For developers:
Responsibilities
Job Description: Lead Software Engineer
Experience: 8+ years
Location: Bengaluru (Hybrid)
Computomic, founded in 2019, designs and deploys mission-critical and highly differentiated Data & AI solutions for companies migrating from legacy data platforms such as Teradata, Cloudera, Datastage, and Informatica to modern platforms like Databricks. Over the past few years, the company has become a leading Databricks partner, building a strong practice and delivering migration projects for some of the world’s leading organizations.
Our consulting services and tools help companies modernize their data stack, realizing value through the adoption of advanced data platform technologies like Databricks. Using accelerators, we save clients up to 80% of time and cost when moving data from legacy platforms. We enable customers to identify and enhance margins of improvement across their operations, driving transformative business impact.
We are a fast-growing global company focused on Data & AI and Financial Crime Prevention solutions. Our team includes over 40 trained and certified Databricks professionals, experts in BI and dashboarding tools such as Power BI and Tableau, and specialists in financial crime and fraud prevention.
The name Computomic derives from “Computers” and “Atomic,” reflecting our belief in achieving massive impact through incremental, meaningful changes.
Key Responsibilities:
* Lead the implementation of data engineering solutions using Databricks.
* Develop applied AI solutions using GenAI.
* Collaborate with data scientists, analysts, and engineers to design and build data pipelines and models.
* Optimize data processing, security, and performance to ensure scalability.
* Implement test-first solutions and mentor junior engineers on test-driven development.
* Apply clean code principles and guide junior engineers in best coding practices.
* Mentor and guide junior engineers, fostering a collaborative and innovative environment.
* Work closely with stakeholders to translate data requirements into technical solutions.
* Ensure data integrity, security, and compliance with industry standards.
Qualifications:
* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
* 8+ years of experience in data engineering, with a focus on Databricks.
* Strong proficiency in Python, Java, Scala, and SQL.
* Intermediate experience with Spark is highly desirable.
* Exposure to data quality tools such as Great Expectations is a strong advantage.
* Hands-on experience with cloud platforms such as AWS, Azure, or GCP is required.
* Proven track record of delivering end-to-end data engineering projects.
* Strong analytical and problem-solving abilities.
* Experience in consulting engagements and working with business stakeholders is preferred.
* Excellent communication and teamwork skills.
What we offer:
* Competitive compensation.
* Comprehensive health and wellness benefits.
* Referral program.
* Paid time off and sick leave.
* Professional development assistance.
* Excellent work culture.
* Hybrid working model.
* Training and certification on Databricks and relevant technologies.
* Career development, including management and leadership training.
* Overseas immigration opportunities.
This job post is closed.