Senior Data Engineer: Business Intelligence - Databricks & AWS

TL;DR

Senior Data Engineer: Business Intelligence - Databricks & AWS: Designing and scaling the infrastructure and pipelines for analytics, dashboards, and machine learning, with an accent on complex data challenges, data modeling, and actionable reporting solutions. Focus on optimizing data models, building robust ETL/ELT processes, and driving best practices in data engineering and business intelligence.

Location: Hybrid, based in Hyderabad, India

Company

hirify.global is a software supply chain security company providing end-to-end solutions, combining proactive protection against malicious open source, enterprise-grade SBOM management, and open-source dependency management.

What you will do

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Architect and optimize data models and storage solutions for analytics and operational use.
• Create and manage business intelligence reports and dashboards using tools like Looker Studio.
• Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable, meaningful, and actionable.
• Own and evolve parts of the data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake).
• Implement observability, alerting, and data quality monitoring for critical pipelines.

Requirements

• 5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
• Strong programming skills in Python, Java, or Scala.
• Proficiency with Databricks, data modeling techniques, and data warehousing solutions like Snowflake or Redshift.
• Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow).
• Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics.
• Experience with BI tools such as Looker Studio, Power BI, or Tableau.

Nice to have

• Experience with dbt, Terraform, or Kubernetes.
• Familiarity with real-time data processing or streaming architectures.
• Understanding of data privacy, compliance, and security best practices in analytics and reporting.

Culture & Benefits

• Value diversity and inclusivity, offering parental leave and flexible working practices.
• Committed to building faster, safer software by harnessing AI and data intelligence.
• Operate as an equal-opportunity employer.

Hiring process

• May use AI tools to support parts of the hiring process (reviewing applications, analyzing resumes, or assessing responses).
• AI tools assist the recruitment team but do not replace human judgment.
• Final hiring decisions are made by humans.