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Job Description: You will be responsible for capturing user requirements and translating them into business and digitally enabled solutions across a range of industries. Your key responsibilities will include: - Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals - Solving complex data problems to deliver insights that help the business achieve its goals - Sourcing data (structured and unstructured) from various touchpoints, formatting and organizing them into an analyzable format - Creating data products for analytics team members to improve productivity - Calling AI services like vision, translation, etc., to generate outcomes that can be used in further steps along the pipeline - Fostering a culture of sharing, re-use, design, and operational efficiency of data and analytical solutions - Preparing data to create a unified database and building tracking solutions to ensure data quality - Creating production-grade analytical assets deployed using the guiding principles of CI/CD As a candidate for this role, it is expected that you have the following professional and technical skills: - Expertise in Python, Scala, Pyspark, Pytorch, and at least two out of Javascript - Extensive experience in data analysis in Big Data environments, data libraries such as Pandas, SciPy, Tensorflow, Keras, and SQL with 2-3 years of hands-on experience - Experience with BI tools like Tableau, Power BI, Looker - Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs - Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda, Glue, S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse Additionally, it is preferred if you have experience working with cloud Data warehouses like Redshift or Synapse and certification in any one of the following or equivalent: - AWS- AWS certified Data Analytics- Speciality - Azure- Microsoft certified Azure Data Scientist Associate - Snowflake- Snowpro core- Data Engineer - Databricks Data Engineering About Our Company | Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more Job Description: You will be responsible for capturing user requirements and translating them into business and digitally enabled solutions across a range of industries. Your key responsibilities will include: - Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals - Solving complex data problems to deliver insights that help the business achieve its goals - Sourcing data (structured and unstructured) from various touchpoints, formatting and organizing them into an analyzable format - Creating data products for analytics team members to improve productivity - Calling AI services like vision, translation, etc., to generate outcomes that can be used in further steps along the pipeline - Fostering a culture of sharing, re-use, design, and operational efficiency of data and analytical solutions - Preparing data to create a unified database and building tracking solutions to ensure data quality - Creating production-grade analytical assets deployed using the guiding principles of CI/CD As a candidate for this role, it is expected that you have the following professional and technical skills: - Expertise in Python, Scala, Pyspark, Pytorch, and at least two out of Javascript - Extensive experience in data analysis in Big Data environments, data libraries such as Pandas, SciPy, Tensorflow, Keras, and SQL with 2-3 years of hands-on experience - Experience with BI tools like Tableau, Power BI, Looker - Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs - Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda, Glue, S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse Additionally, it is preferred if you have experience working with cloud Data warehouses like Redshift or Synapse and certification in any one of the following or equivalent: - AWS- AWS certified Data Analytics- Speciality - Azure- Microsoft certified Azure Data Scientist Associate - Snowflake- Snowpro core- Data Engineer - Databricks Data Engineering About Our Company | Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more
