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YASH Technologies

Senior Data Analyst – SQL

YASH Technologies

. Understand existing data flows and pipelines with the Helios warehouse .

Posted 10/16/2026full-timeIndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data pipeline technologies and data validation, with strong programming skills in SQL and Python. Proficient in AWS services and Snowflake, capable of analyzing and resolving complex data flow issues.

Highest-signal resume keywords
Data Pipeline TechnologiesSQL ProgrammingPython ProgrammingAWS ServicesSnowflake Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ValidationData ManagementData IntegrityData AnalysisProblem Diagnosis
Soft Skills
Interpersonal SkillsCollaborationCommunication
Tools & Technologies
AWS S3AWS SageMakerAWS RDSAWS KinesisAWS DynamoDBAWS Lambda
Certifications & Qualifications
Technical Certification
Industry Keywords
Data FlowsData PipelinesHelios WarehouseDatabase Concepts

Tech Stack

Tools & technologies
AWSDynamoDBPythonSQL

About the role

Key responsibilities & impact
  • Understand existing data flows and pipelines with the Helios warehouse
  • Absorb domain knowledge behind datasets in the Helios warehouse
  • Triage production data gaps and bugs with required details for fixes
  • Replay data pipelines or upload missing data to fix identified data gaps
  • Apply code fixes to ensure data integrity within the Helios warehouse
  • Validate data after fixes
  • Work with other departments to identify the appropriate team to apply fixes
  • Work with other departments to learn about new pipelines and data flows
  • Follow established business rules for applications or processes
  • Represent applications or processes with other business areas that use or integrate with them
  • Seek input from relevant business areas
  • Understand, evaluate, and respond to routine problems or situations with external contacts
  • Interpret, analyze, and diagnose problems and issues
  • Identify complex or undefined problems and develop solutions from multiple alternatives

Requirements

What you’ll need
  • 3-5 years of experience
  • College or university degree, technical certification, or equivalent experience
  • 3 or more years of experience working in data pipeline related technologies or data validations
  • Interpersonal skills to deal with sensitive, emotional or potentially controversial situations
  • Familiarity with data management of an application overall
  • Core programming skills in SQL and Python
  • Fundamental practical knowledge of AWS services, including S3, SageMaker, RDS, Kinesis, DynamoDB, and Lambda
  • Fundamental practical knowledge of Snowflake and its properties
  • Ability to understand and analyze end-to-end data flow and pipelines
  • Familiarity with database concepts

Benefits

Comp & perks
  • Flexible work arrangements
  • Inclusive team environment
  • Career-oriented skilling models
  • Continuous learning, unlearning, and relearning opportunities
  • Stable employment
  • Great atmosphere
  • Ethical corporate culture
  • All support needed for the realization of business goals