Data Engineer
Data Engineer
Remote role based in India.
*Note - This is a full time, remote, salaried position through Red Elk Consulting, llc, based in India. This role is 100% focused and dedicated to supporting Together Labs, as a consultant, and includes; salary, benefits, vacation, and a local India - based support team
We are seeking an experienced and motivated Data Engineer to join our dynamic data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, managing our data warehouse infrastructure, and supporting analytics initiatives across the organization. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality, integrity, and accessibility, enabling the organization to make data-driven decisions.
RESPONSIBILITIES
Design and Develop Data Pipelines: Architect, develop, and maintain robust and scalable data pipelines for ingesting, processing, and transforming large volumes of data from multiple sources in real-time and batch modes.
Data Warehouse Management: Manage, optimize, and maintain the data warehouse infrastructure, ensuring data integrity, security, and availability. Oversee the implementation of best practices for data storage, partitioning, indexing, and schema design.
ETL Processes: Design and build efficient ETL (Extract, Transform, Load) processes to move data across various systems while ensuring high performance, reliability, and scalability.
Data Integration: Integrate diverse data sources (structured, semi-structured, and unstructured data) into a unified data model that supports analytics and reporting needs.
Support Analytics and BI: Collaborate with data analysts, data scientists, and business intelligence teams to understand data requirements and provide data sets, models, and solutions that support their analytics needs.
Data Quality and Governance: Establish and enforce data quality standards, governance policies, and best practices. Implement monitoring and alerting to ensure data accuracy, consistency, and completeness.
Operational Excellence: Drive the development of automated systems for provisioning, deployment, monitoring, failover, and recovery. Implement systems to monitor key performance metrics, logs, and alerts with a focus on automation and reducing manual intervention.
Cross-functional Collaboration: Work closely with product, engineering, and QA teams to ensure the infrastructure supports and enhances development workflows and that services are deployed and operated smoothly at scale.
Incident Management & Root Cause Analysis: Act as a first responder to data production issues, leading post-mortems and implementing long-term solutions to prevent recurrence. Ensure all incidents are handled promptly with a focus on minimizing impact.
Security & Compliance: Ensure our infrastructure is designed with security best practices in mind, including encryption, access control, and vulnerability scanning.
Continuous Improvement: Stay up-to-date with industry trends, technologies, and best practices, bringing innovative ideas into the team to improve reliability, performance, and scale.
QUALIFICATIONS
Education & Experience:
Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
5+ years of experience in data engineering, with a strong background in systems architecture, distributed systems, cloud infrastructure, or a related field.
Proven experience building and managing data pipelines, data warehouses, and ETL processes.
Technical skills:
Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
Expertise in data pipeline tools and frameworks (e.g., AWS Glue, Google Dataflow, Apache Airflow, Apache NiFi, dbt).
Hands-on experience with cloud platforms and their data services (e.g., AWS, Azure, Google Cloud Platform).
Proficiency in programming languages such as Python, Java, or Scala for data manipulation and automation.
Knowledge of data modeling, schema design, and data governance principles.
Familiarity with distributed data processing frameworks like Apache Spark, Hadoop, or similar.
Experience with BI tools (e.g., Tableau, Power BI, Looker)
Experience with AWS and standard practices working in Cloud based environments
Soft Skills:
Strong problem-solving and analytical skills with a keen attention to detail.
Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
Proactive mindset with the ability to work independently and handle multiple tasks in a fast-paced environment.
ABOUT US
Together Labs innovates technologies that empower people worldwide to connect, create and earn in virtual worlds. Our mission is to redefine social media as a catalyst for authentic human connection through the development of a family of products grounded in this core value. These include: IMVU, the world's largest friendship discovery and social platform and VCOIN, the first regulatory-approved transferable digital currency;. For more information, please visit https://togetherlabs.com/
Founded in 2004 and based in the heart of Silicon Valley, Together Labs is led by a team that's dedicated to pioneering in virtual worlds. Together Labs is backed by venture investors Allegis Capital, Bridgescale Partners and Best Buy Capital.
Together Labs (formerly IMVU) has been for nine years running as Best Place to Work in the Silicon Valley.
HOW TO APPLY
Please familiarize yourself with our products and feel free to try out our core product at https://www.imvu.com/
Together Labs is an equal opportunity employer, and is committed to fostering a culture of inclusion. Our unique differences enable us to learn, collaborate, and grow together. We welcome all applicants without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identification, marital, parental, veteran or military status, unfavorable military discharge, decisions regarding reproductive health, or any other status protected by applicable federal, state, or local law.
Data Engineer
Data Engineer
Remote role based in India.
*Note - This is a full time, remote, salaried position through Red Elk Consulting, llc, based in India. This role is 100% focused and dedicated to supporting Together Labs, as a consultant, and includes; salary, benefits, vacation, and a local India - based support team
We are seeking an experienced and motivated Data Engineer to join our dynamic data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, managing our data warehouse infrastructure, and supporting analytics initiatives across the organization. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality, integrity, and accessibility, enabling the organization to make data-driven decisions.
RESPONSIBILITIES
Design and Develop Data Pipelines: Architect, develop, and maintain robust and scalable data pipelines for ingesting, processing, and transforming large volumes of data from multiple sources in real-time and batch modes.
Data Warehouse Management: Manage, optimize, and maintain the data warehouse infrastructure, ensuring data integrity, security, and availability. Oversee the implementation of best practices for data storage, partitioning, indexing, and schema design.
ETL Processes: Design and build efficient ETL (Extract, Transform, Load) processes to move data across various systems while ensuring high performance, reliability, and scalability.
Data Integration: Integrate diverse data sources (structured, semi-structured, and unstructured data) into a unified data model that supports analytics and reporting needs.
Support Analytics and BI: Collaborate with data analysts, data scientists, and business intelligence teams to understand data requirements and provide data sets, models, and solutions that support their analytics needs.
Data Quality and Governance: Establish and enforce data quality standards, governance policies, and best practices. Implement monitoring and alerting to ensure data accuracy, consistency, and completeness.
Operational Excellence: Drive the development of automated systems for provisioning, deployment, monitoring, failover, and recovery. Implement systems to monitor key performance metrics, logs, and alerts with a focus on automation and reducing manual intervention.
Cross-functional Collaboration: Work closely with product, engineering, and QA teams to ensure the infrastructure supports and enhances development workflows and that services are deployed and operated smoothly at scale.
Incident Management & Root Cause Analysis: Act as a first responder to data production issues, leading post-mortems and implementing long-term solutions to prevent recurrence. Ensure all incidents are handled promptly with a focus on minimizing impact.
Security & Compliance: Ensure our infrastructure is designed with security best practices in mind, including encryption, access control, and vulnerability scanning.
Continuous Improvement: Stay up-to-date with industry trends, technologies, and best practices, bringing innovative ideas into the team to improve reliability, performance, and scale.
QUALIFICATIONS
Education & Experience:
Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
5+ years of experience in data engineering, with a strong background in systems architecture, distributed systems, cloud infrastructure, or a related field.
Proven experience building and managing data pipelines, data warehouses, and ETL processes.
Technical skills:
Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
Expertise in data pipeline tools and frameworks (e.g., AWS Glue, Google Dataflow, Apache Airflow, Apache NiFi, dbt).
Hands-on experience with cloud platforms and their data services (e.g., AWS, Azure, Google Cloud Platform).
Proficiency in programming languages such as Python, Java, or Scala for data manipulation and automation.
Knowledge of data modeling, schema design, and data governance principles.
Familiarity with distributed data processing frameworks like Apache Spark, Hadoop, or similar.
Experience with BI tools (e.g., Tableau, Power BI, Looker)
Experience with AWS and standard practices working in Cloud based environments
Soft Skills:
Strong problem-solving and analytical skills with a keen attention to detail.
Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
Proactive mindset with the ability to work independently and handle multiple tasks in a fast-paced environment.
ABOUT US
Together Labs innovates technologies that empower people worldwide to connect, create and earn in virtual worlds. Our mission is to redefine social media as a catalyst for authentic human connection through the development of a family of products grounded in this core value. These include: IMVU, the world's largest friendship discovery and social platform and VCOIN, the first regulatory-approved transferable digital currency;. For more information, please visit https://togetherlabs.com/
Founded in 2004 and based in the heart of Silicon Valley, Together Labs is led by a team that's dedicated to pioneering in virtual worlds. Together Labs is backed by venture investors Allegis Capital, Bridgescale Partners and Best Buy Capital.
Together Labs (formerly IMVU) has been for nine years running as Best Place to Work in the Silicon Valley.
HOW TO APPLY
Please familiarize yourself with our products and feel free to try out our core product at https://www.imvu.com/
Together Labs is an equal opportunity employer, and is committed to fostering a culture of inclusion. Our unique differences enable us to learn, collaborate, and grow together. We welcome all applicants without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identification, marital, parental, veteran or military status, unfavorable military discharge, decisions regarding reproductive health, or any other status protected by applicable federal, state, or local law.