Data Engineer Sr. Analyst

As a Data Engineer at Accenture, you will be responsible for designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals. Your role will involve solving complex data problems to deliver insights that help the business achieve its goals. You will source data from various touchpoints, format and organize them into an analyzable format, create data products for analytics team members, and call AI services like vision and translation to generate outcomes for further pipeline steps. Additionally, fostering a culture of sharing, re-use, design, and operational efficiency of data and analytical solutions will be part of your responsibilities. You will also prepare data to create a unified database, build tracking solutions ensuring data quality, and create production-grade analytical assets deployed using CI/CD principles. **Key Responsibilities:** - Designing, developing, optimizing, and maintaining data pipelines following ETL principles and business goals - Solving complex data problems to deliver insights for business goals - Sourcing and organizing data from various touchpoints - Creating data products for analytics team members - Calling AI services like vision and translation for generating outcomes - Fostering a culture of sharing, re-use, design, and operational efficiency - Preparing data to build tracking solutions ensuring data quality - Creating production-grade analytical assets deployed using CI/CD principles **Qualifications Required:** - Expertise in Python, Scala, Pyspark, Pytorch, and at least two of Javascript - Extensive experience in data analysis in Big data environments like Apache Spark, data libraries like Pandas, SciPy, Tensorflow, Keras, and SQL - Experience with BI tools such as Tableau, Power BI, Looker - Good understanding of data analytics concepts, ETL, reporting, data governance, dealing with structured and unstructured data, and infrastructure needs - Hands-on experience in Microsoft Azure, AWS, Databricks, Snowflake Cloud Datawarehouse In addition, you should have experience working in cloud Data warehouses like Redshift or Synapse and hold certifications such as AWS certified data Analytics- Speciality, Microsoft certified Azure Data Scientist Associate, Snowpro core- Data Engineer, or Databricks Data Engineering. This job requires 3.5 - 5 years of experience and a Graduation degree.,