You’ll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include:
Responsibilities
Roles and Responsibilities
Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals
Solving complex data problems to deliver insights that helps our business to achieve their goals.
Source data (structured→ unstructured) from various touchpoints, format and organize them into an analyzable format.
Creating data products for analytics team members to improve productivity
Calling of AI services like vision, translation etc. to generate an outcome 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 build tracking solutions ensuring data quality
Create Production grade analytical assets deployed using the guiding principles of CI/CD.
Professional And Technical Skills
Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least)
Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies.
Experience in one of the many BI tools such as 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.
Additional Information
Experience working in cloud Data warehouses like Redshift or Synapse
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
Experience: 3.5 -5 years of experience is required
Educational Qualification: Graduation (Accurate educational details should capture)
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