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TARO PHARMACEUTICALS is Hiring a Senior Data Engineer Near Hawthorne, NY
Duties And Responsibilities
- Work with management and internal stakeholders to define business requirements and analytical needs and execute against them.
- Develop a deep understanding of existing eCommerce performance, customer, brands, and productivity metrics, and develop new KPIs, metrics, and measures to gauge eCommerce performance.
- Own regular and ad-hoc analysis on operational performance and projects to continuously improve and scale Alchemee's eCommerce operations.
- Work to define and structure eCommerce customer and operational data and ensure the reliability and integrity of data sources.
- Perform data modeling using/modifying existing models.
- Build automated data flows on AWS by extracting and transforming data from existing e-commerce systems, log files, and API sources.
- Expert-level skills in writing and optimizing SQL.
- Experience operating very large data warehouses or data lakes.
- Expertise in ETL optimization, designing, coding, and data ingestion from Rest and GraphQL API.
- Experience with building data pipelines and applications to stream and process datasets at low latencies.
- Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
- Sound knowledge of distributed systems and data architecture utilizing Lambda, Python, and Jupyter.
- Experience in AWS Data Analytics platform and related services - S3, AWS Glue, Redshift, Athena, Lake Formation, Lambda, etc.
- Experience in building data pipelines using Spark/Glue
- Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift
- Experience in designing and optimizing Redshift Workloads
- Good knowledge of defining data access roles and permission for Redshift
- Capable of learning and adapting to new technologies along with good Analytical skills
- Experience working on Visualization tools like AWS QuickSight, Tableau, or Sigma is a plus.
- Experience in Java, IntelliJ, Bitbucket, Gradle is plus.
- 4-year degree (Economics, Statistics, Mathematics, Computer Science, MIS, or similar focus) and 3-5 years of relevant work experience.
- 5 years of experience in ETL, Data warehousing, Data pipelines, Data Analytics, in Microsoft or Amazon cloud. AWS Data Stack is preferred. As a member of our Software Engineering Group, we look first and foremost for people passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle and partner continuously with your many stakeholders daily to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. A successful candidate is an active listener with good interpersonal communication and can ask for and give feedback to others. The Sr. Data Engineer is someone who constantly communicates with different internal and external stakeholders and business owners.
- Work with management and internal stakeholders to define business requirements and analytical needs and execute against them.
- Develop a deep understanding of existing eCommerce performance, customer, brands, and productivity metrics, and develop new KPIs, metrics, and measures to gauge eCommerce performance.
- Own regular and ad-hoc analysis on operational performance and projects to continuously improve and scale Alchemee's eCommerce operations.
- Work to define and structure eCommerce customer and operational data and ensure the reliability and integrity of data sources.
- Perform data modeling using/modifying existing models.
- Build automated data flows on AWS by extracting and transforming data from existing e-commerce systems, log files, and API sources.
- Qualifications
- Expert-level skills in writing and optimizing SQL.
- Experience operating very large data warehouses or data lakes.
- Expertise in ETL optimization, designing, coding, and data ingestion from Rest and GraphQL API.
- Experience with building data pipelines and applications to stream and process datasets at low latencies.
- Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
- Sound knowledge of distributed systems and data architecture utilizing Lambda, Python, and Jupyter.
- Experience in AWS Data Analytics platform and related services - S3, AWS Glue, Redshift, Athena, Lake Formation, Lambda, etc.
- Experience in building data pipelines using Spark/Glue
- Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift
- Experience in designing and optimizing Redshift Workloads
- Good knowledge of defining data access roles and permission for Redshift
- Capable of learning and adapting to new technologies along with good Analytical skills
- Experience working on Visualization tools like AWS QuickSight, Tableau, or Sigma is a plus.
- Experience in Java, IntelliJ, Bitbucket, Gradle is plus.
- 4-year degree (Economics, Statistics, Mathematics, Computer Science, MIS, or similar focus) and 3-5 years of relevant work experience.
- 5 years of experience in ETL, Data warehousing, Data pipelines, Data Analytics, in Microsoft or Amazon cloud. AWS Data Stack is preferred.
Job Summary
Full Time
Pharmaceutical
$117k-149k (estimate)
05/28/2024
07/11/2024
taropharma.co.uk
BRAMPTON, ONTARIO
200 - 500
1984
UDAY BALDOTA
$50M - $200M
Pharmaceutical
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The job skills required for Senior Data Engineer include Analysis, Economics, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
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Provides successful deployment and provisioning of data solutions to production or other required environments.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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Step 3: View the best colleges and universities for Senior Data Engineer.
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