Senior Software Developer

Empower

Sr Engineer leading data engineering and cloud-native solutions in a flexible environment. Innovating for financial freedom while mentoring technical teams and implementing best practices.

Posted 7/22/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data pipelines and cloud-native data solutions using AWS services. Proficient in data transformation frameworks, data governance, and mentoring engineering teams to drive innovation and best practices in data engineering.

Highest-signal resume keywords

Data EngineeringAWS ServicesSQLPythonDbt

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionETLData QualityData ModelingData WarehousingStreaming TechnologiesObservability FrameworksCI/CDData GovernanceOrchestration Tools

Soft Skills

Problem-SolvingAnalytical SkillsCommunication SkillsMentoringCollaboration

Tools & Technologies

AWS S3AWS LambdaAWS GlueDatadogApache AirflowSnowflakeAmazon RedshiftGitHub ActionsJenkinsTerraform

Industry Keywords

Data EngineeringCloud ComputingData TransformationData GovernanceData Quality Frameworks

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudETLJenkinsKafkaPythonSQLTerraform

About the role

Key responsibilities & impact

Design, develop, and implement scalable batch and real-time data pipelines
Lead end-to-end data engineering initiatives including data ingestion, transformation (ETL/ELT), data quality, and data delivery across enterprise platforms
Build and optimize cloud-native data solutions leveraging AWS services such as S3, Lambda, Glue, ECS, EMR, IAM, CloudWatch, and related services
Develop and maintain modern ELT transformation frameworks using dbt for modular, testable, and scalable data modeling
Collaborate with data architects, analysts, product owners, and business stakeholders to gather requirements
Drive best practices in data modeling, governance, metadata management, lineage, and performance optimization
Implement observability and monitoring solutions using tools such as Datadog, CloudWatch, and custom alerting frameworks
Lead code reviews, establish engineering standards, and champion CI/CD and DevOps practices
Troubleshoot and resolve complex production issues related to data pipelines, orchestration, and warehouse performance
Mentor junior and mid-level engineers
Evaluate and adopt emerging technologies in cloud, AI/ML, and data engineering to drive innovation
Partner with cross-functional teams to implement secure, compliant, and highly available enterprise data solutions.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
12+ years of experience in Data Engineering, Data Warehousing, and Software Development
Strong expertise in SQL and Python
Hands-on experience with Snowflake and Amazon Redshift in large-scale production environments
Strong experience with modern data transformation frameworks such as dbt
Experience with orchestration and workflow tools such as Apache Airflow
Hands-on experience with streaming and CDC technologies such as Kafka, STRIIM, or similar event-streaming platforms
Experience building and supporting observability frameworks using Datadog or equivalent monitoring platforms
Strong understanding of dimensional and normalized data modeling techniques
Experience working with AWS cloud services including S3, Lambda, Glue, IAM, ECS, CloudFormation, and related technologies
Knowledge of CI/CD implementation using tools such as GitHub Actions, Jenkins, Terraform, or similar platforms
Experience with data governance, data quality frameworks, and security best practices
Excellent problem-solving, analytical, and communication skills
Proven ability to lead technical initiatives and mentor engineering teams
Passion for innovation, continuous learning, and adopting modern data engineering practices.

Benefits

Comp & perks

flexible work environment
fluid career paths
internal mobility
volunteering hours