Data Engineer

About Us:At Calfus, we are known for delivering cutting-edge AI agents and products that transform businesses in ways previously unimaginable. We empower companies to harness the full potential of AI, unlocking opportunities they never imagined possible before the AI era. Our software engineering teams are highly valued by customers, whether start-ups or established enterprises, because we consistently deliver solutions that drive revenue growth. Our ERP solution teams have successfully implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, reducing manual work so teams can focus on high-impact tasks.None of this would be possible without talent like you! Our global teams thrive on collaboration, and we’re actively looking for skilled professionals to strengthen our in-house expertise and help us deliver exceptional AI, software engineering, and solutions using enterprise applications.As one of the fastest-growing companies in our industry, we take pride in fostering a culture of innovation where new ideas are always welcomed—without hesitation. We are driven and expect the same dedication from our team members. Our speed, agility, and dedication set us apart, and we perform best when surrounded by high-energy, driven individuals.To continue our rapid growth and deliver an even greater impact, we invite you to apply for our open positions and become part of our journey!About the RoleAs a Senior / Lead Data Engineer, you'll own the design and delivery of our cloud data platforms on AWS and Azure. You'll architect Lakehouse solutions built on Medallion Architecture, set the data modelling standards, and lead a team of data engineers delivering reliable, scalable pipelines. This is a hands-on leadership role: you'll make the architecture decisions and still be close enough to the code to write SQL and PySpark yourself. With 8–12 years of experience, you've designed data platforms, not just built pipelines on them.What You'll DoData Architecture & Platform DesignDesign scalable data lake, lakehouse, and warehouse architectures on AWS and Azure that meet business requirementsImplement Medallion Architecture (bronze, silver, gold) using Databricks and Delta LakeWork with stakeholders to gather requirements and translate them into technical specifications and architecture designsData Integration & PipelinesBuild and oversee ETL/ELT pipelines using Azure Data Factory, Airflow, SSIS, or equivalent toolsUse Azure Databricks and PySpark for large-scale data processingOwn pipeline reliability — orchestration, monitoring, failure handling, and automationData ModellingDesign and maintain dimensional and relational data models (star, snowflake) for analytical workloadsOwn schema design decisions and modelling standards across the platformDatabase Engineering & PerformanceWrite complex SQL queries, stored procedures, and transformationsOptimise pipelines, queries, and Spark jobs for performance, scalability, reliability, and costData Quality & GovernanceImplement data quality checks, validation, and governance best practices to ensure accurate and compliant dataTeam LeadershipLead, mentor, and guide data engineers, review code, and build a culture of continuous learning and improvementWhat You'll Need — Must Have6-12 years in data engineering, including experience leading data engineering teamsStrong AWS or Azure experience (S3, Lambda, Glue / ADF, ADLS, Databricks) demonstrated through delivered projectsMedallion Architecture — you've designed and implemented bronze/silver/gold layers on Databricks or Delta LakeData Architecture — you've designed end-to-end data platforms, not only built pipelines on themData Modelling — you've built dimensional and relational models, not only queried themAdvanced SQL — SQL Server, Postgres, Snowflake, or Redshift, including stored procedures and query tuningETL/ELT and orchestration tools such as SSIS, Azure Data Factory, or AirflowPython for data engineering — Pandas, NumPy, PySpark, scripting, and automationExperience with databases like Snowflake, Postgres, Redshift, and MongoDBFamiliarity with data formats like JSON, CSV, Parquet, and PickleVersion control (Git), CI/CD, and code quality practices for data engineering projectsBachelor's degree in Computer Science, Information Systems, Data Science, or a related fieldGood to HaveHands-on experience across both AWS and AzureAzure SDKWorking with REST APIs and web scrapingUnity Catalog or other data governance and cataloguing tools

Benefits

At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit.Calfus is an Equal Opportunity Employer.We believe diversity drives innovation. We’re committed to creating an inclusive workplace where everyone—regardless of background, identity, or experience—has the opportunity to thrive. We welcome all applicants!