Snow flake /AWS Engineer

About Kanerika

Who we are

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of dataand AI. We leverage cutting-edge technologiesin data analytics, data governance, AI-ML, GenAI/ LLM andindustry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions

Kanerika has won several awards over the years, including

CMMI Level 3 Appraised in 2024.

Best Place to Work 2023 byGreat Place to Work

Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.

Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.

Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved, ISO 9001, ISO 27701, SOC2, and GDPR compliances.

Working for us

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees.

Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact.

See the benefits section below for the perks you’ll get while working for Kanerika.

Locations

We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).

Job Location:Hyderabad,Indore and Ahmedabad (India)

Skills Required

We are seeking a skilled

• Snowflake Data Engineer to join our team. The ideal candidate will be
• responsible for designing, developing, deploying, and supporting enterprise
• data solutions on the Snowflake platform. This role involves building scalable
• data pipelines, developing metadata-driven frameworks, automating database
• deployments, and supporting production environments. The successful candidate
• will possess strong troubleshooting skills, be comfortable working across both
• application and database administration domains, and consistently produce
• well-documented, maintainable solutions.

Key Responsibilities

Snowflake Engineering &

Development

• Design, develop, and maintain

robust data solutions using Snowflake.

• Develop and support database

objects including tables, views, streams, tasks, stored procedures, and dynamic

SQL frameworks.

• Build scalable and performant

ETL/ELT pipelines for data integration and analytics workloads.

• Optimize Snowflake query

performance, storage utilization, and compute efficiency.

• Implement metadata-driven and

configuration-based data processing frameworks.

Database Administration &

Scripting

• Develop, support, and maintain

database administration scripts for operational and support activities.

• Create automation scripts for

database monitoring, housekeeping, deployments, validations, and health checks.

• Assist with Snowflake platform

administration activities, including role management, access controls,

warehouse management, and object security.

• Support operational automation

across development, test, and production environments.

• Support Amazon Aurora

PostgreSQL operational activities, including connectivity validation,

performance troubleshooting, access coordination, and environment support.

Database Deployment &

Release Management

• Utilize Liquibase for

source-controlled database deployments and schema migrations.

• Develop and maintain

deployment scripts and release automation processes.

• Ensure database changes are

properly version-controlled, tested, and promoted through environments.

• Partner with development and

operations teams to establish deployment standards and best practices.

Data Engineering &

Operational Support

• Develop efficient data

ingestion, transformation, and validation processes.

• Design, develop, and support

AWS Glue jobs and workflows for data ingestion, transformation, cataloging, and

orchestration across cloud and enterprise data platforms.

• Work with Amazon S3 for data

landing, staging, archival, file organization, access patterns, and integration

with Snowflake and AWS Glue pipelines.

• Support AWS Database Migration

Service (AWS DMS) tasks for data replication, migration, validation,

monitoring, and issue resolution across source and target platforms.

• Troubleshoot and resolve

issues related to data pipelines, database performance, and application

integrations.

• Perform root cause analysis

and implement corrective actions for recurring issues.

• Monitor data loads, data

quality processes, and platform performance to ensure reliability and

availability.

• Support production incident

management and operational escalations.

Software Engineering &

Documentation

• Write clean, maintainable, and

supportable code following engineering best practices.

• Design solutions with

long-term maintenance, observability, and troubleshooting requirements in mind.

• Implement appropriate logging,

exception handling, auditing, and monitoring capabilities.

• Produce comprehensive

technical documentation for all solutions, processes, and deployments.

• Create and maintain

operational runbooks, troubleshooting guides, architectural documentation, and

knowledge transfer materials.

• Ensure all code deliveries are

supplemented with proper and abundant documentation to support future

maintenance and operational activities.

System Integration & DevOps

• Support CI/CD processes for

database and data engineering solutions.

• Utilize GitHub for source code

management, version control, and collaboration.

• Collaborate with application

development, infrastructure, and data teams to deliver integrated enterprise

solutions.

• Integrate Snowflake solutions

with AWS services, including AWS Glue, Amazon Aurora PostgreSQL, Amazon S3, and

AWS DMS, to support scalable enterprise data processing and interoperability.

• Participate in code reviews,

deployment reviews, and technical design discussions.

Requirements

• At least 2 years of relevant

data engineering experience, including hands-on work with cloud data platforms

and production data environments.

• Strong hands-on working

experience with Snowflake development and administration.

• Proficiency in writing and

optimizing complex SQL queries and Snowflake stored procedures.

• Hands-on proficiency with AWS

Glue for ETL development, workflow orchestration, job monitoring, and

troubleshooting.

• Experience developing database

and application support scripts.

• Experience working with Amazon

Aurora PostgreSQL, including SQL development, integration support, operational

troubleshooting, and performance analysis.

• Experience working with Amazon

S3 for storage, ingestion, staging, and integration with cloud-native data

pipelines.

• Experience with AWS DMS for

database migration, change data capture, replication monitoring, and

troubleshooting.

• Hands-on experience with

Liquibase for database deployment and schema version management.

• Strong troubleshooting,

analytical, and problem-solving skills.

• Experience supporting

production data warehouse or data platform environments.

• Ability to develop

maintainable, reusable, and well-documented code.

• Experience with source control

systems such as GitHub.

• Excellent verbal and written

communication skills.

• Strong attention to detail and

commitment to operational excellence.

Preferred Qualifications (Plus)

• Experience with cloud

platforms such as AWS.

• Experience building

cloud-native data pipelines using AWS Glue, Amazon Aurora PostgreSQL, Amazon

S3, AWS DMS, Snowflake, and related AWS data services.

• Experience with Snowflake

performance tuning and cost optimization.

• Experience implementing

metadata-driven frameworks and data validation solutions.

• Proficiency with Python, Shell

Scripting.

• Familiarity with CI/CD

pipelines and DevOps practices.

• Knowledge of data warehousing

concepts, dimensional modeling, and enterprise reporting platforms.

• Experience with monitoring,

observability, and operational support frameworks.

• Experience

supporting regulatory, audit, and data governance requirements.

Benefits

• Why join us?
• ·Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• ·Gain hands-on experience in content marketing with exposure to real-world projects.
• ·Opportunity to learn from experienced professionals and enhance your marketing skills.
• ·Contribute to exciting initiatives and make an impact from day one.
• ·Competitive stipend and potential for growth within the company.
• ·Recognized for excellence in data and AI solutions with industry awards and accolades.