Data Engineer - AWS at Fractal Analytics

📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Fractal Analytics 👥 Experience 4-8 years 🎓 Qualification 4–8 years 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills PySpark SQL AWS Glue Athena Redshift Airflow Informatica PowerCenter PostgreSQL Data Engineer

• AWS at Fractal Analytics — Full Details & How to Apply Fractal Analytics is hiring for a Data Engineer
• AWS position in Bengaluru, India , requiring candidates with 4–8 years of hands-on experience in building scalable data pipelines using AWS tools. This role is part of Data Engineer
• AWS jobs in Bengaluru, India, where technical precision in data flow design is essential for operational efficiency. This Data Engineer
• AWS role focuses on designing and maintaining scalable data pipelines that ensure data quality and integrity across platforms. The position involves leveraging tools such as PySpark , SQL , AWS Glue , Athena , Redshift , Airflow , and Informatica PowerCenter to automate ETL processes and manage data workflows. The core responsibility lies in optimizing data solutions on AWS, particularly through Redshift and PostgreSQL for storage and query performance. The job posting identifies Fractal Analytics as a technology-focused organization specializing in data analytics and engineering. The role is part of Fractal Analytics recruitment for data engineering positions in Bengaluru, emphasizing technical depth and operational reliability. No other company details are provided in the official listing. 2023, 2024, 2025, 2026 graduates with 4–8 years of experience and 4-8 years experience in data engineering are eligible. The salary is Not Disclosed
• This role is intended for candidates with proven experience in data pipeline development and database management. Applicants will gain practical experience with PySpark , SQL , AWS Glue , Athena , Redshift , Airflow , Informatica PowerCenter , and PostgreSQL
• This role provides a foundation for advancing into senior data engineering or data platform leadership roles within technology-driven organizations. Mastery of AWS-based data solutions is a key progression path. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Bengaluru, India jobs and Data Engineer
• AWS jobs through Fractal Analytics recruitment
• Job Role & Responsibilities The Data Engineer
• AWS at Fractal Analytics designs and implements cloud-based data pipelines to support real-time analytics, ensuring data integrity , performance , and scalability across enterprise workloads using AWS and Redshift
• This role directly enables data-driven decision-making through reliable, automated data flows. Design scalable data pipelines using PySpark and AWS Glue to process petabyte-scale datasets with 99.9% uptime and end-to-end latency under 10 minutes
• Develop ETL workflows in Informatica PowerCenter to extract, transform, and load data from source systems into PostgreSQL and Redshift with zero data duplication
• Implement SQL scripts to query Redshift and PostgreSQL databases, extracting metrics such as daily active users and conversion rates with sub-second response time
• Optimize Redshift and PostgreSQL clusters using query tuning and indexing to reduce query execution time by 30% and maintain 99.9% availability. Configure AWS Glue jobs and Athena queries to enable on-demand data access and reduce cost-per-query by 25% in production environments. Deploy automated data workflows using Apache Airflow with error handling and retry logic to ensure pipeline reliability and failure recovery within 5 minutes
• Document data processing steps, schema changes, and performance improvements in Confluence or Notion with versioned records and audit trails for compliance. Diagnose data quality issues using Redshift and PostgreSQL logs and SQL error reports to resolve anomalies and maintain data consistency across daily batch runs
• This role demands direct ownership of data pipeline performance, where every metric , query , and deployment has measurable impact on business outcomes and operational efficiency
• Required Skills & Technical Competencies The Data Engineer
• AWS role requires a strong technical foundation in data processing , cloud integration , and database management , with hands-on experience using PySpark , SQL , and AWS services to deliver production-grade data solutions. Technical Skills PySpark — advanced — used to process large-scale datasets in batch and streaming mode, enabling efficient data transformation in Redshift and PostgreSQL pipelines. SQL — advanced — critical for writing complex queries to extract, join, and aggregate data from Redshift and PostgreSQL with performance optimization and accuracy
• AWS Glue — intermediate to advanced — used to build and manage ETL jobs in AWS environments, enabling seamless data movement between source systems and Redshift
• Athena — intermediate — leveraged to run serverless queries on Parquet and CSV files stored in S3 , reducing data access latency and cost
• Redshift — advanced — used to design, manage, and optimize columnar databases for high-performance analytics and large-scale reporting
• PostgreSQL — intermediate to advanced — used for real-time data ingestion, schema design, and transactional data integrity in ETL processes via Informatica PowerCenter
• Informatica PowerCenter — intermediate — used to design and execute ETL workflows for data movement between source systems and PostgreSQL and Redshift with data validation rules. Apache Airflow — intermediate — used to orchestrate data pipelines with task scheduling , error handling , and monitoring for daily batch runs
• When preparing your resume, emphasize specific projects using PySpark , SQL , and Redshift with measurable performance gains and real-world data volume metrics. Eligibility Criteria This role is designed for candidates with a degree in Computer Science, Data Science, or a related field and 4–8 years of hands-on experience in data engineering or data pipeline development. Must hold a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related discipline
• Eligible application batches are 2023, 2024, 2025, and 2026
• Minimum of 4 years of professional experience in data engineering or ETL development is required. CGPA or academic performance is not specified; however, a strong academic record is expected for technical depth. Must have hands-on experience with PySpark , SQL , and Redshift in real-world projects or internships. Portfolio demonstrating data pipeline design using PySpark , Informatica PowerCenter , or AWS Glue is mandatory. Documentation & Portfolio Requirements Your resume must include a clear section on technical projects with tools used , data volume , and performance outcomes
• Include GitHub links or project documentation for at least two end-to-end data pipeline implementations. Pro tip: Focus on a project where you used PySpark to process 10GB+ of data in Redshift or PostgreSQL with query optimization and performance metrics — this directly aligns with the technical expectations of the Data Engineer
• AWS role at Fractal Analytics
• Salary for Data Engineer
• AWS at Fractal Analytics 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer
• AWS role at Fractal Analytics is Not Disclosed
• The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Engineer
• AWS Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources SQL — Essential for managing and querying databases effectively in data engineering. AWS Glue — Critical for ETL processes and data integration in AWS environments. Informatica PowerCenter — Valuable for data integration and workflow management in data pipelines. KodNest — Provides hands-on experience with data engineering concepts and tools. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with PySpark or SQL — Provide specific examples of your work. ❌ Using a generic resume — Tailor it to highlight relevant experience with AWS technologies. ❌ Listing technologies like AWS Glue without details — Explain their application in your projects. ❌ Ignoring the specified experience requirement of 4-8 years — Ensure you meet this criterion. ❌ Adding unrelated technologies or unsupported claims — Stick to relevant skills to avoid disqualification. ❌ Failing to verify the official Apply URL — Always check the link before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Engineer
• AWS Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role, as many companies use automated systems to filter applications. ATS Keywords to Include Data Engineer AWS PySpark SQL Informatica PowerCenter Redshift PostgreSQL AWS Glue Airflow ETL Data Pipelines Data Quality Resume Tips for This Role Highlight experience with AWS technologies, particularly PySpark and SQL , as these are crucial for the role. Emphasize familiarity with tools like Informatica PowerCenter and database management systems such as Redshift
• Showcase projects that involved designing data pipelines or working with AWS services to demonstrate relevant experience. Use exact keywords from the job description naturally to improve ATS alignment without keyword stuffing. Avoid including unsupported claims or technologies that are not relevant to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated technologies or unsupported claims in your resume, as they may lead to disqualification. How to Apply for Data Engineer
• AWS at Fractal Analytics Apply Now — Fractal Analytics Open the official Apply URL and confirm the job title and company is correct. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the company’s official portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Fractal Analytics NexisGrow.com does not charge any fees for job applications. Fractal Analytics Fractal Analytics is a technology company based in Bengaluru, India. It operates with an onsite work mode and specializes in data analytics and engineering. The Data Engineer
• AWS role supports core data infrastructure and pipeline development within the company. The team designs, develops, and maintains scalable data pipelines using AWS technologies. Responsibilities include managing databases like Redshift and PostgreSQL , leveraging PySpark and SQL , and working with tools such as AWS Glue , Athena , and Airflow
• Collaboration with cross-functional teams ensures data requirements are met effectively. This role is central to building and maintaining data solutions on AWS, supporting end-to-end data processing and pipeline operations. It enables hands-on experience with key AWS services and data engineering workflows. This role offers early-career exposure through direct work with AWS technologies and data pipeline management. Hands-on experience with PySpark , SQL , and AWS tools provides foundational skills in data engineering. Company Details Industry Technology Location Bengaluru, India Connect With Us Careers Apply Now Website 🔗 fractal.wd1.myworkdayjobs.com Frequently Asked Questions Interview
• Role
• Salary
• Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with 4-8 years of experience and from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include PySpark, SQL, AWS Glue, Informatica PowerCenter, and Redshift. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is 'Not Disclosed'. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer
• Review AWS technologies and data pipeline design.
• Practice SQL queries and data manipulation.
• Familiarize yourself with Informatica PowerCenter.
• Prepare examples of past data engineering projects.
• Understand data quality and integrity practices. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bengaluru. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to AWS technologies, data pipeline management, and collaboration with cross-functional teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in PySpark, SQL, experience with AWS technologies, and relevant data engineering responsibilities. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with cross-functional teams, including engineers and business stakeholders. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 4-8 years of experience. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Fractal Analytics Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath
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