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Data Engineer – TI TPM Mosaic IRC237091
| Job | IRC237091 |
| Location | Mexico - Mexico City |
| Designation | Senior Software Engineer |
| Experience | 5-10 years |
| Function | Engineering |
| Skills | Beam, SQL |
| Work Model: | Hybrid |
Description
Data Engineering to support the Resource Efficiency Data Science (REDS) team in Google Cloud. We develop the analytics to ensure high availability and efficient utilization of Cloud resources e.g. CPUs, RAM, GPUs, Disks.
Skills:
Python. Strong Scientific Python skills e.g. Pandas, Numpy, Altair skills. 5+ years. Primary partners are data scientists whose python skills are stronger than SQL. I want to keep using Python for data analysis and ETL.
SQL. Strong SQL. 5+ years. We deal with highly scaled, multidimensional time series data.
Beam. Experience with Beam / Cloud Data Flow. 3+ years, enough to develop best practices. Beam allows us to continue using Python and to shard the data for increased ETL performance (e.g. historical recalculations).
Best practices. Strong adherence to best practices e.g. version control, documentation, bug tracking, etc.
Location. Location anywhere between PST and EST i.e. no reason to be at any Google office
Google Cloud. Nice to have experienced with Google Cloud
Requirements
Data Engineering to support the Resource Efficiency Data Science (REDS) team in Google Cloud. We develop the analytics to ensure high availability and efficient utilization of Cloud resources e.g. CPUs, RAM, GPUs, Disks.
Skills:
Python. Strong Scientific Python skills e.g. Pandas, Numpy, Altair skills. 5+ years. Primary partners are data scientists whose python skills are stronger than SQL. I want to keep using Python for data analysis and ETL.
SQL. Strong SQL. 5+ years. We deal with highly scaled, multidimensional time series data.
Beam. Experience with Beam / Cloud Data Flow. 3+ years, enough to develop best practices. Beam allows us to continue using Python and to shard the data for increased ETL performance (e.g. historical recalculations).
Best practices. Strong adherence to best practices e.g. version control, documentation, bug tracking, etc.
Location. Location anywhere between PST and EST i.e. no reason to be at any Google office
Google Cloud. Nice to have experienced with Google Cloud
Job Responsibilities
Data Engineering to support the Resource Efficiency Data Science (REDS) team in Google Cloud. We develop the analytics to ensure high availability and efficient utilization of Cloud resources e.g. CPUs, RAM, GPUs, Disks.
Skills:
Python. Strong Scientific Python skills e.g. Pandas, Numpy, Altair skills. 5+ years. Primary partners are data scientists whose python skills are stronger than SQL. I want to keep using Python for data analysis and ETL.
SQL. Strong SQL. 5+ years. We deal with highly scaled, multidimensional time series data.
Beam. Experience with Beam / Cloud Data Flow. 3+ years, enough to develop best practices. Beam allows us to continue using Python and to shard the data for increased ETL performance (e.g. historical recalculations).
Best practices. Strong adherence to best practices e.g. version control, documentation, bug tracking, etc.
Location. Location anywhere between PST and EST i.e. no reason to be at any Google office
Google Cloud. Nice to have experienced with Google Cloud
We Offer
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment:Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.
Professional Development:Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally
Excellent Benefits:We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.