JOB DESCRIPTION

This is a job description for one of Aeries’ preferred partner - Constant Contact. In this role, you will be working directly for our partner – as an employee of Aeries.
 

THE TOP 5 REASONS TO JOIN US

Constant Contact GTC [Global Technology Center]:

In 2021, Constant Contact partnered with Aeries to set up its GTC with an aim of consolidating the former’s global operations in Bengaluru (Bangalore), India; with teams set up in the areas of IT, Engineering, Customer Support, and other General and Administrative functions.

The GTC is a dedicated center, focused on providing best practices, research, support, and training for specific business functions.

About Constant Contact

Constant Contact is a technology product company, headquartered in Waltham, Massachusetts, United States. We are one of the top 2 providers of email marketing, social media marketing, event marketing, and online survey tools.

We support 0.5 million SMBs to grow their businesses by building stronger relationships with their customers, with a wide range of intuitive marketing applications designed to help small businesses and nonprofits expand their customer bases and nurture relationships.

Read about us at https://www.constantcontact.com/about

About Aeries

Aeries is in the business of enabling mid-size technology product companies, to scale and optimize their business. At Aeries, we have unique engagement models with our clients that are collaborative and partnership- centric in nature. One such model is this Global

Technology Center that has been “Purpose Built”

for our partner – Constant Contact.

From a career perspective, the advantages of working within our GTC is that you will be working in an organization that is a virtual

extension of client’s enterprise, including their culture. You will be treated as a Constant Contact employee, directly working, and

delivering on Constant Contact’s business-critical projects.

Read about us at https://aeriestechnology.com/careers/

Job Summary:
As a DataOps/MLOps Engineer specializing in data, you will be responsible for implementing and managing our cloud-based data infrastructure using AWS and Snowflake. You will collaborate with data engineers, data scientists, and other stakeholders to design, deploy, and maintain a robust data ecosystem that supports our analytics and business intelligence initiatives. Your expertise in modern data tech stacks, MLOps methodologies, automation, and information security will be crucial in enhancing our data pipelines and ensuring data integrity and availability.

Key Responsibilities:

Infrastructure Management: Design, deploy, and manage AWS cloud infrastructure for data storage, processing, and analytics, ensuring high availability and scalability while adhering to security best practices.

Data Pipeline Deployment: Collaborate with data engineering teams to deploy and maintain efficient data pipelines using tools like Apache Airflow, dbt, or similar technologies.

Snowflake Administration: Implement and manage Snowflake data warehouse solutions, optimizing performance and ensuring data security and governance.

MLOps Implementation: Collaborate with data scientists to implement MLOps practices, facilitating the deployment, monitoring, and governance of machine learning models in production environments.

Information Security: Integrate security controls into all aspects of the data infrastructure, including encryption, access control, and compliance with data protection regulations (e.g., GDPR, HIPAA).

CI/CD Implementation: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines for data-related applications and services, including model training and deployment workflows.

Support and Troubleshooting: Deploy updates and fixes, provide Level 2 technical support, and perform root cause analysis of production errors to resolve technical issues effectively.

Tool Development: Build tools to reduce the occurrence of errors and improve the customer experience, and develop software to integrate with internal back-end systems.

Automation and Visualization: Develop scripts to automate data visualization and streamline reporting processes.

System Maintenance: Design procedures for system troubleshooting and maintenance, ensuring smooth operation of the data infrastructure.

Monitoring and Performance Tuning: Implement monitoring solutions to track data workflows and system performance, proactively identifying and resolving issues.

Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and support analytics initiatives.

Documentation: Create and maintain documentation for data architecture, processes, workflows, and security protocols to ensure knowledge sharing and compliance.

Qualifications:

• 3-6+ years of experience as a DataOps/MLOps engineer or in a similar engineering role.
• Strong expertise in AWS services (e.g., EC2, S3, Lambda, RDS) and cloud infrastructure best practices.
• Proficient in Snowflake, including data modeling, performance tuning, and query optimization.
• Experience with modern data technologies and tools (e.g., Apache Airflow, dbt, ETL processes).
• Familiarity with MLOps frameworks and methodologies, such as MLflow, Kubeflow, or SageMaker.
• Experience in containerization and orchestration tools (e.g., Docker, Kubernetes).
• Proficiency in scripting languages, including Python or similar, and automation frameworks.
• Proficiency with Git and GitHub workflows.
• Strong working experience of databases and SQL.
• Strong understanding of CI/CD tools and practices (e.g., Jenkins, GitLab CI).
• Excellent problem-solving attitude and collaborative team spirit.
• Strong communication skills, both verbal and written.

Preferred Qualifications:

• Experience with data governance and compliance frameworks.
• Familiarity with data visualization tools (e.g., Tableau, Looker).
• Knowledge of machine learning frameworks and concepts is a plus.
• Relevant security certifications (e.g., CISSP, CISM, AWS Certified Security) are a plus.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and continuous learning.
• A collaborative and innovative work environment.
• Flexible work arrangements.

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