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Technical Services Engineer (Data Engineer/Data Scientist)

Databricks

Full-time
India
python
big data
sql
aws
machine learning
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

CSQ325R3

Mission:

At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Data Intelligence platform. As a Technical Services Engineer you will play a critical role in advising Customers in their onboarding journey. You will directly work with customers to help them onboard and deploy Databricks in their Production environment.The impact you will have

  • You will ensure new customers have an excellent experience by providing them with technical assistance early in their journey.

  • You will become an expert on the Databricks Platform and guide customers in making the best technical decisions to achieve their goals.

  • You will work on multiple tactical customers to track and report their progress.

What we look for:

  • Experience in Big Data / Data Engineering

  • Minimum 3 years experience in a technical role, preferably in the data or cloud field.

  • Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.

  • Knowledge of a programming language - Python, Scala, or SQL

  • Knowledge of end-to-end data analytics workflow

  • Hands-on professional or academic experience in one or more of the following:

  • Data Engineering technologies (e.g., ETL, DBT, Apache Spark™ Airflow)

  • Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)

  • Excellent time management and prioritization skills

  • Excellent written and verbal communication

  • Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

Benefits

  • Private medical insurance

  • Accident coverage

  • Equity awards

  • Paid parental leave

  • Gym reimbursement

  • Annual personal development fund

  • Work headphones reimbursement

  • Business travel insurance

  • Mental wellness resources

 

 

About the job

Full-time
India
Posted 1 year ago
python
big data
sql
aws
machine learning
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Technical Services Engineer (Data Engineer/Data Scientist)

Databricks
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

CSQ325R3

Mission:

At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Data Intelligence platform. As a Technical Services Engineer you will play a critical role in advising Customers in their onboarding journey. You will directly work with customers to help them onboard and deploy Databricks in their Production environment.The impact you will have

  • You will ensure new customers have an excellent experience by providing them with technical assistance early in their journey.

  • You will become an expert on the Databricks Platform and guide customers in making the best technical decisions to achieve their goals.

  • You will work on multiple tactical customers to track and report their progress.

What we look for:

  • Experience in Big Data / Data Engineering

  • Minimum 3 years experience in a technical role, preferably in the data or cloud field.

  • Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.

  • Knowledge of a programming language - Python, Scala, or SQL

  • Knowledge of end-to-end data analytics workflow

  • Hands-on professional or academic experience in one or more of the following:

  • Data Engineering technologies (e.g., ETL, DBT, Apache Spark™ Airflow)

  • Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)

  • Excellent time management and prioritization skills

  • Excellent written and verbal communication

  • Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

Benefits

  • Private medical insurance

  • Accident coverage

  • Equity awards

  • Paid parental leave

  • Gym reimbursement

  • Annual personal development fund

  • Work headphones reimbursement

  • Business travel insurance

  • Mental wellness resources

 

 

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