About this role
<p><span style="font-family:Verdana, Geneva, sans-serif">YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.</span></p> <p> </p> <p><span style="font-family:Verdana, Geneva, sans-serif">At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.</span></p> <p> </p> <p><b><span style="font-family:Verdana, Geneva, sans-serif">We are looking forward to hire AWS Professionals in the following areas :</span></b></p> <p> </p> <p><strong>Job Descreption:</strong></p> <p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Role Overview</strong></p> <p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">We are seeking an experienced AWS Data Architect with strong hands-on expertise in designing, building, and optimizing scalable data lake and analytics platforms on AWS. The ideal candidate will combine deep technical proficiency in AWS services with a strong understanding of data architecture principles, governance, and best practices for analytical enablement<strong>.</strong></p> <p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"> </p> <p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Required Skills :</strong></p> <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Proven experience architecting and implementing AWS data lake and analytics ecosystems.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Hands-on expertise in AWS Glue, S3, Athena, Lambda, Redshift, and Lake Formation.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Strong programming and ETL skills using PySpark / Python.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Deep understanding of data modeling, data ingestion patterns, and schema evolution.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Knowledge of data governance, security, and compliance frameworks in cloud environments.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Familiarity with CI/CD, IaC, and DevOps tools (CDK, Terraform, GitHub Actions, CodePipeline).</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with data quality frameworks (Deequ, Great Expectations).</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Strong problem-solving, analytical, and communication skills.</li> </ul> <p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Preferred Qualifications</strong></p> <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">At least 5-7 years of experience in data architecture and data modelling.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Professional.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Proven experience with database management systems and data warehousing.</li> </ul> <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Strong understanding of data governance and data quality principles.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Excellent problem-solving and analytical skills.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with data modelling tools and techniques.<br><br><br></li> </ul> <p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Responsibilities</strong></p> <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Architect and Design: Define and implement scalable, secure, and cost-efficient AWS-based data lake architectures using S3, Glue, Athena, and Lake Formation.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Data Engineering: Develop robust ETL/ELT pipelines using PySpark, Glue, and Lambda for batch and near-real-time data ingestion and transformation.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Data Modeling: Design logical and physical data models, implement schema evolution, partitioning strategies, and efficient metadata management.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Manage the complete data lifecycle from raw ingestion to curated and analytical layers ensuring data quality, lineage, and traceability.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Integration: Enable seamless data consumption by downstream systems such as Redshift Spectrum, QuickSight, SageMaker, and other BI platforms.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Enforce robust data governance, access control, and compliance through IAM, KMS, CloudTrail, and Lake Formation.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Data Quality: Implement and automate data validation frameworks using tools such as Deequ or Great Expectations.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Automation & DevOps: Build infrastructure as code (IaC) using AWS CDK or Terraform, and orchestrate CI/CD pipelines with GitHub Actions or AWS CodePipeline.</li> <li style="margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Monitoring & Optimization: Set up observability, performance tuning, and cost optimization through CloudWatch, Glue job optimization, and Athena query tuning.</li> </ul> <p style="margin:0.0cm 0.0cm 8.0pt 18.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"> </p><p> </p> <p><span style="font-family:Verdana, Geneva, sans-serif">At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.</span></p> <p> </p> <p><b><span style="font-family:Verdana, Geneva, sans-serif">Our Hyperlearning workplace is grounded upon four principles</span></b></p> <ul> <li><span style="font-family:Verdana, Geneva, sans-serif">Flexible work arrangements, Free spirit, and emotional positivity</span></li> <li><span style="font-family:Verdana, Geneva, sans-serif">Agile self-determination, trust, transparency, and open collaboration</span></li> <li><span style="font-family:Verdana, Geneva, sans-serif">All Support needed for the realization of business goals,</span></li> <li><span style="font-family:Verdana, Geneva, sans-serif">Stable employment with a great atmosphere and ethical corporate culture</span></li> </ul>