Data Operations Specialist - Remote
ExpediaSalary not specified
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
IT Services, ConsultingIndustries
Requirements
- Skills Required: SnowFlake, DBT, RDS AWS, Control-M, Sagemaker, Apache Airflow, PowerBI, Talend, Qlik, Hightouch, Data Engineering experience
- Nice to Have: 3–5 years of experience in data management, including ETL processes and database administration
- Strong working knowledge of AWS data services and AWS cloud services, including S3, EC2, RDS, IAM policies, Lambda, and CloudFormation
- Experience with modern data platforms such as Snowflake, Oracle, and Postgres
- Proficient in building and managing CI/CD pipelines using tools like GitLab (preferred), Jenkins, and CircleCI
- Familiarity with data analytics infrastructure and tools
Responsibilities
- Oversee and manage data transfers across multiple systems and platforms
- Maintain and optimise file transfer systems and data feeds
- Administer and support data tools such as Power BI, DBT Cloud, Hightouch
- Operate and maintain analytics infrastructure including Control-M, Sagemaker, and Apache Airflow
- Ensure data pipelines and ETL processes are efficient, secure, and reliable
- Action “General Service Requests” received on daily basis that includes access provisioning, data quality issues, minor enhancements within agreed timeframes
- Conduct maintenance activities that includes vulnerability management, patch upgrades, version upgrades and security maintenance on a regular cadence
- Participate in on-call roster for the Data Operations team
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for this Data Operations Engineer position?
This information is not specified in the job description.
Is this role remote or hybrid, and what are the work hours?
The position is hybrid with a schedule from Monday to Friday, 07:00 AM to 04:00 PM PHT.
What skills are required for this Data Operations Engineer role?
Required skills include Snowflake, DBT, RDS AWS, Control-M, Sagemaker, Apache Airflow, PowerBI, Talend, Qlik, and Hightouch, along with data engineering experience. Nice-to-have skills include 3–5 years in data management, ETL processes, AWS services like S3, EC2, RDS, IAM, Lambda, CloudFormation, modern data platforms such as Snowflake, Oracle, Postgres, and CI/CD pipelines with GitLab, Jenkins, or CircleCI.
What benefits does ConnectOS offer for this position?
Benefits include hybrid work setup, medical, dental coverage and life insurance from day 1, paid vacation and sick leave with quarterly sick leave conversion, competitive salary package and annual appraisal, financial assistance program, mandatory government benefits and 13th month pay, complimentary sleeping quarters and coffee, office fitness and wellness facilities, regular company events, work-life balance, and career growth opportunities.
What makes a strong candidate for this Data Operations Engineer role?
A strong candidate will have data engineering experience with required tools like Snowflake, DBT, AWS RDS, Control-M, Airflow, PowerBI, and nice-to-haves like 3-5 years in data management, ETL, AWS services, and CI/CD pipelines.
Connectly
AI-powered marketing automation for e-commerce
About Connectly
Connectly.ai automates sales and marketing for e-commerce businesses through its AI-powered platform, Sofia AI. This platform integrates with popular e-commerce systems like Shopify and Vtex, allowing for automated, personalized conversations with customers across various channels. Connectly.ai stands out by significantly reducing time spent on administrative tasks and improving the sales closing process. The company's goal is to enhance efficiency and sales for e-commerce businesses.
San Francisco, CaliforniaHeadquarters
2020Year Founded
$33.7MTotal Funding
SERIES_BCompany Stage
Consumer Software, AI & Machine Learning, Consumer GoodsIndustries
51-200Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Company Equity
Risks
Increased competition from Alibaba's AI initiatives could overshadow Connectly's offerings.
Reliance on Shopify and Vtex poses risks if they develop their own AI solutions.
Rapid AI advancements require Connectly to continuously innovate to stay competitive.
Differentiation
Connectly.ai automates sales and marketing for e-commerce with AI-powered Sofia AI platform.
The platform integrates seamlessly with Shopify and Vtex, enhancing user experience and sales.
Connectly.ai supports over 20 languages, including local slang, for personalized customer interactions.
Upsides
Connectly.ai raised $20 million in Series B funding led by Alibaba in 2023.
The platform's AI-driven personalization boosts conversion rates and customer satisfaction.
Connectly.ai's multilingual support enhances global customer engagement and market reach.
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