Data Engineer
Indexed description
Founded in 2020
50 - 200
Employee reviews
Overall
3.8
Work-Life Balance
3.7
Salary and Benefits
3.8
Company Culture
3.7
Career Growth
3.9
Diversity and Inclusion
3.8
Will Recommend to Friends
3.8
Data Engineer
Loco
Bangalore, Noida1-5 Years
Apply to Loco
Apply to Loco
About Loco
Loco is India's leading live game streaming platform. Now you can watch your favorite streams of Battlegrounds Mobile India, Call Of Duty Mobile, Free Fire, Valorant, CS GO, DOTA 2 FIFA, and more.
We Are Building a Cutting Edge Tech To:
- Solve for scale on massive concurrent live stream views
- Build best-in-class live streaming video latency and interactivity
- Create the capability to handle high in-app transaction volumes
- Enable rapid iteration by constructing a microservices architecture
- Leverage the Web3 opportunity by building exciting on-chain applications and services
About Company
Write a description for your company
Job Description
Function: Software Engineering → Big Data / DWH / ETL
- Data Analysis
- Data Streaming
- Data Warehousing
- +8 more
- ETL
- Amazon Redshift
- AWS Glue
- BigQuery
- Kafka
- Snowflake
- Spark
- SQL
Responsibilities:
- Build, maintain, and optimize data pipelines that power analytics and business-critical use cases.
- Work with the team to design and implement batch and real-time data workflows.
- Write clean, efficient, and well-tested SQL and code for data processing.
- Work with product, analytics, and engineering teams to understand requirements and translate them into data solutions.
- Contribute to data modeling and help build reliable, scalable datasets for downstream consumers.
- Monitor pipelines, troubleshoot issues, and proactively identify opportunities to improve reliability and performance.
- Follow and contribute to data quality, testing, and observability practices.
- Participate in technical discussions and contribute to architectural and design decisions.
- Identify recurring problems and technical debt, and work with the team to improve systems rather than just fixing symptoms.
- Document your work and share context with the team to make systems easier to understand and maintain.
- Take increasing ownership of data products and pipelines as you grow within the role.
- 1-4 years of experience in data engineering or a closely related role.
- Hands-on experience with cloud data platforms, preferably AWS (Glue, Redshift, Athena, EMR).
- Strong SQL skills and a good understanding of data modeling concepts.
- Experience building and maintaining ETL/ELT pipelines and working with batch or real-time data.
- Familiarity with tools such as Spark, Airflow, dbt, or similar data engineering technologies.
- Understanding of data quality, testing, monitoring, and pipeline observability.
- Experience with Python or another programming language commonly used for data engineering.
- Basic understanding of CI/CD and version control practices.
- Strong problem-solving skills and curiosity to understand why something needs to be built, not just what needs to be built.
- Experience working with real-time streaming technologies such as Kafka.
- Experience with large-scale data processing.
- Exposure to data warehouses such as Redshift, Snowflake, or BigQuery.
- Experience working in a fast-paced startup or consumer technology environment.
Experience Related
- You want to be part of our exciting team that builds products at scale and solves hard challenges.
- You can communicate your ideas, work and opinions clearly to everyone in the team. Being able to communicate & take feedback is a super-power we deeply value.
- You can easily pick up new technologies, methodologies and frameworks on the go.
- You care about the implications of your features and development as much as the code itself.
- You value user happiness as the most rewarding aspect of work.
- You are excited about the future of the creator economy & overall gaming industry.
Our amazing team
- We are a super fun crew to work with. We are a great blend of hustlers and chillers. We chase our projects and sprint timelines with passion and velocity and when we accomplish it, we celebrate the wins because it is important to pat your back when great work is achieved!
- We are a mixed bag when it comes to prior experience. Some members have been founders themselves, some who have worked in MNCs' and then there are those who were bitten by the start up bug early on and worked with multiple successful startups.
Career at Loco
Why Explore a Career at Loco
Loco Interview Process
1 - Basic Function Round
2 - Assessment
3 - Review
4 - Culture/HR Round
Offer!
Benefits at Loco
0 && (!isOpenedInMobile || showSections.benefits)" class="profile-content benefits-container ng-scope">
Competitive compensation
- 34 days of annual leave (casual and sick combined)
- Kickass colleagues to work with
- Flexible working arrangement
0 && (!isOpenedInMobile || showSections.techStack)" class="profile-content ng-scope">
- Golang
- Node.js
- React.js
- Redux
- JavaScript
Abin Chandra
Talent Acquisition
at Loco
Similar jobs
Senior Data Engineer
Falabella
Bangalore
Data Engineer
Altimate AI
Bangalore
Data Engineer
TekCor4
Bangalore
Data Engineer
Piramal Finance Limited
Bangalore
Data Engineer
Capri Global Capital
Gurgaon, Noida
Data Engineer
Tesco
Bangalore
Data Engineer
Impetus
Bangalore
Data Engineer
Arintra
Bangalore
Senior Data Engineer
Zluri
Bangalore
Data Engineer
TekCor4
Bangalore
We Are Building a Cutting Edge Tech To:
- Solve for scale on massive concurrent live stream views
- Build best-in-class live streaming video latency and interactivity
- Create the capability to handle high in-app transaction volumes
- Enable rapid iteration by constructing a microservices architecture
- Leverage the Web3 opportunity by building exciting on-chain applications and services
Job Description
Function: Software Engineering → Big Data / DWH / ETL
- Data Analysis
- Data Streaming
- Data Warehousing
- +8 more
- ETL
- Amazon Redshift
- AWS Glue
- BigQuery
- Kafka
- Snowflake
- Spark
- SQL
Responsibilities:
- Build, maintain, and optimize data pipelines that power analytics and business-critical use cases.
- Work with the team to design and implement batch and real-time data workflows.
- Write clean, efficient, and well-tested SQL and code for data processing.
- Work with product, analytics, and engineering teams to understand requirements and translate them into data solutions.
- Contribute to data modeling and help build reliable, scalable datasets for downstream consumers.
- Monitor pipelines, troubleshoot issues, and proactively identify opportunities to improve reliability and performance.
- Follow and contribute to data quality, testing, and observability practices.
- Participate in technical discussions and contribute to architectural and design decisions.
- Identify recurring problems and technical debt, and work with the team to improve systems rather than just fixing symptoms.
- Document your work and share context with the team to make systems easier to understand and maintain.
- Take increasing ownership of data products and pipelines as you grow within the role.
- 1-4 years of experience in data engineering or a closely related role.
- Hands-on experience with cloud data platforms, preferably AWS (Glue, Redshift, Athena, EMR).
- Strong SQL skills and a good understanding of data modeling concepts.
- Experience building and maintaining ETL/ELT pipelines and working with batch or real-time data.
- Familiarity with tools such as Spark, Airflow, dbt, or similar data engineering technologies.
- Understanding of data quality, testing, monitoring, and pipeline observability.
- Experience with Python or another programming language commonly used for data engineering.
- Basic understanding of CI/CD and version control practices.
- Strong problem-solving skills and curiosity to understand why something needs to be built, not just what needs to be built.
- Experience working with real-time streaming technologies such as Kafka.
- Experience with large-scale data processing.
- Exposure to data warehouses such as Redshift, Snowflake, or BigQuery.
- Experience working in a fast-paced startup or consumer technology environment.
Experience Related
- You want to be part of our exciting team that builds products at scale and solves hard challenges.
- You can communicate your ideas, work and opinions clearly to everyone in the team. Being able to communicate & take feedback is a super-power we deeply value.
- You can easily pick up new technologies, methodologies and frameworks on the go.
- You care about the implications of your features and development as much as the code itself.
- You value user happiness as the most rewarding aspect of work.
- You are excited about the future of the creator economy & overall gaming industry.
Our amazing team
- We are a super fun crew to work with. We are a great blend of hustlers and chillers. We chase our projects and sprint timelines with passion and velocity and when we accomplish it, we celebrate the wins because it is important to pat your back when great work is achieved!
- We are a mixed bag when it comes to prior experience. Some members have been founders themselves, some who have worked in MNCs' and then there are those who were bitten by the start up bug early on and worked with multiple successful startups.
Career at Loco
Why Explore a Career at Loco
Loco Interview Process
1 - Basic Function Round
2 - Assessment
3 - Review
4 - Culture/HR Round
Offer!
Benefits at Loco
0 && (!isOpenedInMobile || showSections.benefits)" class="profile-content benefits-container ng-scope">
Competitive compensation
- 34 days of annual leave (casual and sick combined)
- Kickass colleagues to work with
- Flexible working arrangement
0 && (!isOpenedInMobile || showSections.techStack)" class="profile-content ng-scope">
- Golang
- Node.js
- React.js
- Redux
- JavaScript
We Are Building a Cutting Edge Tech To:
- Solve for scale on massive concurrent live stream views
- Build best-in-class live streaming video latency and interactivity
- Create the capability to handle high in-app transaction volumes
- Enable rapid iteration by constructing a microservices architecture
- Leverage the Web3 opportunity by building exciting on-chain applications and services
We're looking for a Data Engineer to help build and scale our data platform. You'll work closely with a small, focused data team and collaborate with Product, Analytics, and Engineering to turn business problems into reliable data solutions. This is a hands-on role where you'll get the opportunity to work across data pipelines, real-time systems, data modeling, and cloud infrastructure, while gradually taking ownership of larger parts of the platform.
Responsibilities:
- Build, maintain, and optimize data pipelines that power analytics and business-critical use cases.
- Work with the team to design and implement batch and real-time data workflows.
- Write clean, efficient, and well-tested SQL and code for data processing.
- Work with product, analytics, and engineering teams to understand requirements and translate them into data solutions.
- Contribute to data modeling and help build reliable, scalable datasets for downstream consumers.
- Monitor pipelines, troubleshoot issues, and proactively identify opportunities to improve reliability and performance.
- Follow and contribute to data quality, testing, and observability practices.
- Participate in technical discussions and contribute to architectural and design decisions.
- Identify recurring problems and technical debt, and work with the team to improve systems rather than just fixing symptoms.
- Document your work and share context with the team to make systems easier to understand and maintain.
- Take increasing ownership of data products and pipelines as you grow within the role.
- 1-4 years of experience in data engineering or a closely related role.
- Hands-on experience with cloud data platforms, preferably AWS (Glue, Redshift, Athena, EMR).
- Strong SQL skills and a good understanding of data modeling concepts.
- Experience building and maintaining ETL/ELT pipelines and working with batch or real-time data.
- Familiarity with tools such as Spark, Airflow, dbt, or similar data engineering technologies.
- Understanding of data quality, testing, monitoring, and pipeline observability.
- Experience with Python or another programming language commonly used for data engineering.
- Basic understanding of CI/CD and version control practices.
- Strong problem-solving skills and curiosity to understand why something needs to be built, not just what needs to be built.
- Experience working with real-time streaming technologies such as Kafka.
- Experience with large-scale data processing.
- Exposure to data warehouses such as Redshift, Snowflake, or BigQuery.
- Experience working in a fast-paced startup or consumer technology environment.
- You want to be part of our exciting team that builds products at scale and solves hard challenges.
- You can communicate your ideas, work and opinions clearly to everyone in the team. Being able to communicate & take feedback is a super-power we deeply value.
- You can easily pick up new technologies, methodologies and frameworks on the go.
- You care about the implications of your features and development as much as the code itself.
- You value user happiness as the most rewarding aspect of work.
- You are excited about the future of the creator economy & overall gaming industry.
Our amazing team
- We are a super fun crew to work with. We are a great blend of hustlers and chillers. We chase our projects and sprint timelines with passion and velocity and when we accomplish it, we celebrate the wins because it is important to pat your back when great work is achieved!
- We are a mixed bag when it comes to prior experience. Some members have been founders themselves, some who have worked in MNCs' and then there are those who were bitten by the start up bug early on and worked with multiple successful startups.
1 - Basic Function Round
2 - Assessment
3 - Review
4 - Culture/HR Round
Offer!
Competitive compensation
- 34 days of annual leave (casual and sick combined)
- Kickass colleagues to work with
- Flexible working arrangement
- Golang
- Node.js
- React.js
- Redux
- JavaScript
- Jobs in Bangalore
- Jobs in Delhi / NCR
- Jobs in Hyderabad
- Jobs in Mumbai
- Software Engineering Jobs
- Marketing Jobs
- Sales Jobs
- Internship Jobs
- Post Your Jobs
- Success Stories
- Product Academy
- Resources
- Workscape
- About
- Privacy
- Terms
- Help Center
- Contact Us
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search