Job Description
Job Description
We, at Turing, are looking for talented data engineers who can help solve a range of exciting problems. We offer the best data engineering jobs that provide candidates a unique opportunity to make an impact by applying advanced machine learning concepts to our products.
Key responsibilities
- Design database and data pipeline/ETL using emerging technologies and tools
- Drive the team to develop operationally efficient analytic solutions
- Define standards and methodologies for the data warehousing environment
- Design and build highly scalable data pipelines using new-generation tools and technologies like AWS, Snowflake, Spark, and Kafka to induct data from various systems
- Translate complex business requirements into scalable technical solutions that meet data warehousing design standards
- Create scalable data pipelines and ETL applications that support business operations in advertising, content, and finance/accounting
- Assist with deciphering data migration issues and improving system performance
- Collaborate efficiently with product management, technical program management, operations, and other engineers
Basic Requirements
- BS, MS, or Ph.D. in Computer Science or a relevant technical field
- Extensive experience building scalable data systems and data-driven products, as well as working with cross-functional teams
- 2+ years of related software/data engineering experience with proficiency in Python
- Ability to create data pipelines and ETL applications with large datasets
- Proficiency in building REST APIs for back-end services
- Exposure to implementing, testing, debugging and deploying data pipelines using any of the following tools: Prefect, Airflow, Glue, Kafka, Serverless (Lambda, Kinesis, SQS, SNS), Fivetran, or Stitch Data/Singer
- Experience with any of the cloud data warehousing technologies: Redshift, BigQuery, Spark, Snowflake, Presto, Athena, or S3
- Experience with SQL DB administration (PostgreSQL, MS SQL, etc.)
- Fluent in English to communicate effectively
- Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones
About Turing.com
Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.
We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 100+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers.
We, at Turing, are looking for talented data engineers who can help solve a range of exciting problems. We offer the best data engineering jobs that provide candidates a unique opportunity to make an impact by applying advanced machine learning concepts to our products.
Key responsibilities
- Design database and data pipeline/ETL using emerging technologies and tools
- Drive the team to develop operationally efficient analytic solutions
- Define standards and methodologies for the data warehousing environment
- Design and build highly scalable data pipelines using new-generation tools and technologies like AWS, Snowflake, Spark, and Kafka to induct data from various systems
- Translate complex business requirements into scalable technical solutions that meet data warehousing design standards
- Create scalable data pipelines and ETL applications that support business operations in advertising, content, and finance/accounting
- Assist with deciphering data migration issues and improving system performance
- Collaborate efficiently with product management, technical program management, operations, and other engineers
Basic Requirements
- BS, MS, or Ph.D. in Computer Science or a relevant technical field
- Extensive experience building scalable data systems and data-driven products, as well as working with cross-functional teams
- 2+ years of related software/data engineering experience with proficiency in Python
- Ability to create data pipelines and ETL applications with large datasets
- Proficiency in building REST APIs for back-end services
- Exposure to implementing, testing, debugging and deploying data pipelines using any of the following tools: Prefect, Airflow, Glue, Kafka, Serverless (Lambda, Kinesis, SQS, SNS), Fivetran, or Stitch Data/Singer
- Experience with any of the cloud data warehousing technologies: Redshift, BigQuery, Spark, Snowflake, Presto, Athena, or S3
- Experience with SQL DB administration (PostgreSQL, MS SQL, etc.)
- Fluent in English to communicate effectively
- Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones
About Turing.com
Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.
We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 100+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers.
💡 Quick Summary
Seeking a career-building opportunity? The Remote data engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
