It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description Role Summary We are looking for a highly motivated Data Engineer with 3–4 years of hands-on experience in AWS Databricks to join our data platform team. The role involves working closely with data scientists, analysts, architects, and business stakeholders to design, build, and maintain scalable, high-performance data pipelines and data solutions within the AWS cloud environment. The ideal candidate should have strong expertise in Databricks, PySpark, SQL, Delta Lake, and AWS data services, along with a good understanding of modern data engineering practices, orchestration, and data governance. Key Responsibilities Design, develop, test, and deploy scalable ETL/ELT pipelines using AWS Databricks, PySpark, and SQL. Build and maintain robust data pipelines for ingesting and processing structured and unstructured data from multiple sources such as Amazon S3, Amazon RDS, APIs, and external platforms. Implement and manage Delta Lake solutions to support both batch and streaming data processing. Optimize Spark workloads for performance, scalability, and cost efficiency. Ensure data quality, consistency, reliability, and integrity through validations, monitoring, exception handling, and reconciliation checks. Collaborate with cross-functional teams including data analysts, data modelers, architects, and business stakeholders to support reporting, analytics, and downstream consumption. Support orchestration and scheduling of pipelines using tools such as AWS Glue Workflows, Apache Airflow, or AWS Step Functions. Participate in CI/CD implementation and code deployment processes using Git, AWS CodePipeline, and CodeBuild. Apply best practices related to data governance, metadata management, security, and access control. Support production issue resolution, ad hoc data requests, and continuous improvement of the data platform. Required Skills and Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline. 3–4 years of experience in Data Engineering or a similar role. Strong hands-on experience with AWS Databricks. Good proficiency in PySpark and SQL for large-scale data processing. Experience working with Delta Lake and modern lakehouse concepts. Familiarity with AWS services such as Amazon S3, Amazon RDS, AWS Glue, AWS Lambda, and Amazon Redshift. Knowledge of batch and streaming data architectures. Experience with workflow orchestration, monitoring, and debugging of pipelines. Understanding of version control and CI/CD practices. Awareness of data security, governance, and metadata management principles. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Experience in building data pipelines in enterprise-scale cloud data platforms. Familiarity with real-time / streaming frameworks and event-driven architectures. Exposure to data quality frameworks, reconciliation processes, and operational monitoring. Working knowledge of infrastructure automation and cloud deployment best practices. Experience collaborating in agile delivery environments. Key Competencies Strong problem-solving orientation Attention to detail and focus on data quality Ability to work in a fast-paced, collaborative environment Good stakeholder communication and coordination skills Ownership mindset with a focus on delivery excellence Nice to Have Experience with data modeling and analytics enablement Exposure to DevOps and platform engineering practices Certification in AWS or Databricks technologies Why Join Us This role offers the opportunity to work at the forefront of cloud-based data engineering, partnering with talented data scientists, analysts, and architects to build scalable, high-impact data solutions on AWS Databricks. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! India: [email protected] Outside India: [email protected] This inbox does not process resume submissions. All applications must be made through posted job openings At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.

more at fractal.ai.

3 Nov, 2026

fractal.ai

Data Modeler - Ontology

$fractal.ai logo$

Engineering

Bengaluru, India

Salary not listed

more at fractal.ai.

Data Modeler - Ontology

Senior Manager-Business Finance Analytics

Presentation Specialist

similar roles.

Senior R&D Engineer

Senior Diagnostics Mechanical Engineer

Technical Engineer - M2O Digital - AEP &amp; AJO

Lead Functional Engineer AP S2P

Lead Software Engineer

Software Engineer Intermediate

more at fractal.ai.

Data Modeler - Ontology

Senior Manager-Business Finance Analytics

Presentation Specialist

similar roles.

Senior R&D Engineer

Senior Diagnostics Mechanical Engineer

Technical Engineer - M2O Digital - AEP &amp; AJO

Lead Functional Engineer AP S2P

Lead Software Engineer

Software Engineer Intermediate

Technical Engineer - M2O Digital - AEP & AJO

Technical Engineer - M2O Digital - AEP & AJO