Amazon Web Services (AWS)
Python
ScalaJoin Hutech Solutions – Innovate, Lead, and Transform!
We are a global AI-driven software services and product engineering powerhouse, founded and led by
visionary technology leaders from Walmart. We are redefining the future of technology by building
next-gen solutions that empower businesses across Banking, Finance, eCommerce, and Logistics
industries.
At Hutech, we don’t just build software—we create impact. Our culture fosters innovation, creativity,
and continuous learning, enabling our team to push boundaries and solve real-world challenges using
cutting-edge AI tools and techniques.
Position Summary
We are looking for a skilled Data Engineer with strong expertise in Amazon Redshift, advanced SQL,
and data modelling to design, build, and optimize scalable data platforms on AWS. The ideal
candidate will play a key role in developing reliable data pipelines, enforcing data quality standards,
and enabling analytics and reporting across the organization.
Key Responsibilities
● Design, build, and optimize data models (fact/dimension, star/snowflake schemas) with a
strong focus on performance and scalability.
● Develop and maintain complex SQL queries in Amazon Redshift for analytics, reporting, and
downstream consumption.
● Optimize Redshift performance using distribution styles, sort keys, query tuning, and workload
management (WLM).
● Build and orchestrate scalable data pipelines using AWS Glue, Amazon EMR, Apache Spark,
and Airflow.
● Implement data quality checks, validation rules, and monitoring frameworks to ensure
accuracy and consistency.
● Work closely with analytics, BI, and business teams to translate requirements into robust data
solutions.
● Manage and optimize data storage and movement using Amazon S3.
● Ensure best practices in data security, governance, and documentation.
● Troubleshoot data issues and provide root-cause analysis and long-term fixes.
Required Qualifications
● Bachelor’s degree in Computer Science, Engineering, or a related field
● 3–5 years of hands-on experience in data engineering
● Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift
● Proven expertise in data modeling for analytical workloads
● Strong understanding of AWS data services, including: Amazon Redshift, AWS Glue, AmazonS3, Amazon EMR
● Experience with data pipeline and workflow orchestration tools such as Apache Airflow
● Hands-on experience with Apache Spark
● Proficiency in at least one programming/scripting language such as Python, Java, or Scala
● Solid understanding of data quality, validation, and best practices
Nice to have
● Experience designing large-scale analytics and reporting platforms
● Familiarity with BI tools and downstream analytics use cases
● Experience with cost optimization and performance tuning on AWS
● Exposure to CI/CD for data pipelines
Key Skills
● Amazon Redshift (SQL – Advanced)
● Data Modeling (Analytics-focused)
● AWS (S3, Glue, EMR)
● Apache Airflow
● Apache Spark
● Python / Java / Scala
● Data Quality & Optimization
Shubham Vishwakarma
Full Stack Developer - Averlon
About Whitefield Careers
About
Whitefield Careers is a recruitment and workforce solutions company specializing in connecting exceptional talent with industry-leading organizations across India. With over four years of recruitment expertise, the company provides a wide range of services including talent acquisition, staff augmentation, recruitment process outsourcing (RPO), payroll and compliance management, background verification, interview-as-a-service, and on-demand skilled deployment.
Trusted by 75+ clients and maintaining a 98% client retention rate, Whitefield Careers has successfully placed over 520 professionals across multiple industries. The company focuses on building long-term partnerships through a relationship-driven approach, helping businesses scale with the right talent while supporting professionals in advancing their careers.
In addition to recruitment services, Whitefield Careers operates Whitefield Campus, a career acceleration initiative that bridges the gap between academia and industry through placement support, mock interviews, resume-building assistance, internship opportunities, and career training programs for students and early-career professionals.
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Follow CutshortShubham Vishwakarma
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