Kenexai
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Senior AWS Data Engineer
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Kenexai . Overview
Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact. Experience: 4+ Years Department: Data Engineering / Analytics / IT Job Type: Full Time Job Location: Ahmedabad Responsibilities Design, implement, and manage scalable data pipelines and ETL/ELT workflows in AWS. Build and maintain data lakes and data warehouses using AWS services such as: S3, Glue, Redshift, EMR, Athena, Lambda, Kinesis, Step Functions, etc. Develop data models and manage schema design for both structured and semi-structured data. Collaborate with data scientists, analysts, and software engineers to integrate data into applications and analytics. Implement data quality monitoring, validation frameworks, and automated alerting. Optimize data workflows for performance, reliability, and cost-effectiveness. Develop CI/CD pipelines and infrastructure-as-code using tools like Terraform, CloudFormation, or AWS CDK. Enforce data governance, security policies, and compliance standards (e.g., encryption, IAM roles, audit logging). Mentor junior data engineers and contribute to architectural decisions.
Qualifications
4+ years of experience in data engineering. Strong proficiency in Python, SQL, and distributed data processing frameworks (e.g., Spark, PySpark). Expertise with AWS data services: Glue, Redshift, S3, Athena, Lambda, Step Functions, etc. Experience with job orchestration tools like Airflow, AWS Step Functions, or Managed Workflows for Apache Airflow (MWAA). Solid understanding of data modeling, data lake house architecture, and data warehouse concepts. Familiarity with DevOps principles, Git, CI/CD pipelines, and containerization (Docker, ECS). Experience handling streaming data pipelines using Kinesis or Kafka is a plus. Strong problem-solving, communication, and cross-functional collaboration skills.
Preferred Qualifications
Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or related field. AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect Associate/Professional. Experience with dbt, Quicksight, or BI tools such as Tableau, Power BI. Familiarity with data privacy regulations (GDPR, HIPAA, CCPA).
Why Kenexai?
Be part of building something from the ground up in a high-growth, high-impact domain Work alongside passionate experts in AI, data, and industry consulting Competitive base + uncapped commission structure tied directly to performance Remote-first flexibility with real ownership and career growth potential
Perks and Benefits
Employees are entitled to flexible working hours to support work-life balance. The company operates on a 5-day work week. A healthy, inclusive, and collaborative work environment is maintained. The company organizes Fun Fridays and festive celebrations to foster team spirit. Employees have access to opportunities for continuous learning and career growth. An annual company trip is organized for team building and relaxation. Comprehensive medical insurance benefits are provided to employees. Performance-based bonuses and annual salary revisions are offered. A hybrid working model is available, allowing a mix of in-office and remote work as per company policy.
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Senior AWS Data Engineer
role at
Kenexai . Overview
Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact. Experience: 4+ Years Department: Data Engineering / Analytics / IT Job Type: Full Time Job Location: Ahmedabad Responsibilities Design, implement, and manage scalable data pipelines and ETL/ELT workflows in AWS. Build and maintain data lakes and data warehouses using AWS services such as: S3, Glue, Redshift, EMR, Athena, Lambda, Kinesis, Step Functions, etc. Develop data models and manage schema design for both structured and semi-structured data. Collaborate with data scientists, analysts, and software engineers to integrate data into applications and analytics. Implement data quality monitoring, validation frameworks, and automated alerting. Optimize data workflows for performance, reliability, and cost-effectiveness. Develop CI/CD pipelines and infrastructure-as-code using tools like Terraform, CloudFormation, or AWS CDK. Enforce data governance, security policies, and compliance standards (e.g., encryption, IAM roles, audit logging). Mentor junior data engineers and contribute to architectural decisions.
Qualifications
4+ years of experience in data engineering. Strong proficiency in Python, SQL, and distributed data processing frameworks (e.g., Spark, PySpark). Expertise with AWS data services: Glue, Redshift, S3, Athena, Lambda, Step Functions, etc. Experience with job orchestration tools like Airflow, AWS Step Functions, or Managed Workflows for Apache Airflow (MWAA). Solid understanding of data modeling, data lake house architecture, and data warehouse concepts. Familiarity with DevOps principles, Git, CI/CD pipelines, and containerization (Docker, ECS). Experience handling streaming data pipelines using Kinesis or Kafka is a plus. Strong problem-solving, communication, and cross-functional collaboration skills.
Preferred Qualifications
Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or related field. AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect Associate/Professional. Experience with dbt, Quicksight, or BI tools such as Tableau, Power BI. Familiarity with data privacy regulations (GDPR, HIPAA, CCPA).
Why Kenexai?
Be part of building something from the ground up in a high-growth, high-impact domain Work alongside passionate experts in AI, data, and industry consulting Competitive base + uncapped commission structure tied directly to performance Remote-first flexibility with real ownership and career growth potential
Perks and Benefits
Employees are entitled to flexible working hours to support work-life balance. The company operates on a 5-day work week. A healthy, inclusive, and collaborative work environment is maintained. The company organizes Fun Fridays and festive celebrations to foster team spirit. Employees have access to opportunities for continuous learning and career growth. An annual company trip is organized for team building and relaxation. Comprehensive medical insurance benefits are provided to employees. Performance-based bonuses and annual salary revisions are offered. A hybrid working model is available, allowing a mix of in-office and remote work as per company policy.
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