Yash Technologies Private Limited

Sr. Tech Lead - AWS Job

Yash Technologies Private Limited
Hyderabad
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 6 yearsMin. 6 years

Job Description

Sr. Tech Lead - AWS Job

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.

 

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.

 

We are looking forward to hire AWS Professionals in the following areas :

 

Role Overview

We are looking for a AWS Senior Tech lead with strong knowledge on AWS Data Lake Architecture and is responsible for designing, building, and enhancing the organization’s enterprise data lake environment. This role oversees data ingestion from multiple source systems, ETL design, data quality frameworks, metadata management, and integration pipelines feeding downstream platforms, including Anaplan. The architect will drive end-to-end data lake architecture, ensure scalability, and guide ongoing developments and future roadmap initiatives.

Key Responsibilities

  • Design and architect an enterprise-grade AWS Data Lake using S3, Glue, Airflow, Lake Formation, RED Shift, Lambda, Athena, and related services.
  • Build and enhance ingestion pipelines for multiple source systems / Unstructured data sources.
  • Design and optimize ETL/ELT frameworks (Glue, Spark, etc.) used to transform and prepare data for consumers.
  • Own data lake data models, folder structures, partitioning strategies, and schema evolution processes.
  • Implement data governance, data cataloging, access control, and lineage using Lake Formation and Glue Catalog.
  • Improve and optimize performance of ETL jobs, Spark workloads, queries, and storage layers.
  • Establish data quality, validation, and reconciliation frameworks across source systems and transformed layers.
  • Automation and management of data load queues and pipeline management.
  • Work closely with downstream consumers to ensure reliable feeds and consistent data definitions.
  • Lead technical direction for new data lake developments, feature enhancements, and integration of new data sources.
  • Create and maintain architecture diagrams, technical documents, data flow maps, and ETL logic documentation.
  • Ensure adherence to cloud best practices, security standards, and cost optimization guidelines.

Required Skills & Qualifications

  • 10+ years of experience in AWS data engineering or data architecture, with proven data lake ownership.
  • Strong expertise in AWS services: S3, Glue, Lake Formation, IAM, Lambda, Athena, EMR/Spark, Step Functions, KMS, Airflow, RedShift.
  • Deep experience building scalable ETL/ELT pipelines using Glue, Spark, or Lambda.
  • Strong understanding of data lake architecture, file formats, partitioning, schema evolution, and metadata management.
  • Experience with multi-source data ingestion (APIs, databases, flat files, streaming).
  • Strong knowledge of data modelling, data quality frameworks, and governance practices.
  • Hands-on experience integrating data with downstream systems such as Anaplan, data warehouses, or BI tools.

Preferred Qualifications

  • Experience with Redshift, DynamoDB, or streaming platforms (Kinesis/MSK).
  • Familiarity with Terraform or CloudFormation for IaC.
  • Background supporting Finance or FP&A use cases is an advantage.
  • Experience in building data lineage, monitoring, and observability frameworks.
  • Knowledge of SQL, Python, and distributed computing concepts.

Certifications to be added

 

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.

 

Our Hyperlearning workplace is grounded upon four principles

  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture

Experience Level

Senior Level

Job role

Work location
Work locationHyderabad, TG, IN
Department
DepartmentSoftware Engineering
Role / Category
Role / CategoryDBA / Data warehousing
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 6 years

About company

Name
NameYash Technologies Private Limited
Job posted by Yash Technologies Private Limited

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