Senior Software Engineer – Business Analysis

YASH Technologies

. Understand existing data flows and pipelines in the data warehouse .

Posted 10/28/2026full-timeHyderabad • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data pipeline management and validation, with strong programming skills in SQL and Python. Proficient in AWS services and Snowflake, ensuring data integrity and effective collaboration across departments.

Highest-signal resume keywords

Data Pipeline ManagementSQL ProgrammingPython ProgrammingAWS Services KnowledgeSnowflake Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ValidationData IntegrityData Flow AnalysisCode Fix ApplicationData Management

Soft Skills

Interpersonal SkillsProblem SolvingCollaboration

Tools & Technologies

AWS S3AWS SageMakerAWS RDSAWS KinesisAWS DynamoDBAWS Lambda

Certifications & Qualifications

Technical Certification

Industry Keywords

Data WarehouseData PipelinesDatabase Concepts

Tech Stack

Tools & technologies

AWSDynamoDBPythonSnowflakeSQL

About the role

Key responsibilities & impact

Understand existing data flows and pipelines in the data warehouse
Absorb domain knowledge behind datasets
Triage production data gaps and bugs with required details for fixes
Replay data pipelines or upload missing data to fix identified gaps
Apply code fixes to ensure data integrity within the warehouse
Validate data after fixes to ensure expected results
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 to other business areas that use or integrate with them
Seek input from relevant business areas for applications or processes
Understand, evaluate, and respond to routine problems or situations with external contacts
Interpret, analyze, or diagnose problems and issues
Identify complex or undefined problems and develop the best solution 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
Support needed for the realization of business goals
Stable employment
Great atmosphere
Ethical corporate culture