What are the responsibilities and job description for the AWS Data Engineer with Tableau /Power BI position at Nityo Infotech Corporation?
Job Details
Role : AWS Data Engineer with Tableau /Power BI
Location : Palo Alto, CA 94304 (100% Day 1 Onsite)
Job Qualifications:
- Proficient in Data Analysis/Analytics, BI Dashboard design, Data Warehousing/ETL, BI
architecture, Spark Architecture and well-versed in tools/Languages like
- Python, Pyspark, Databricks, AWS, Tableau/Power BI, Insight generation, Scaling & Optimization.
- Hands-on experience in building custom ETL with focus on design, data modeling, implementation, and maintenance, to cater to the reporting needs of customers
- Strong Experience in AWS and other Cloud environments. AWS S3, AWS Glue/ EMR, Apache Spark, Redshift, Athena
- Demonstrated success in leading and scaling Data Analyst & BI solutions across diverse
organizations, from start-ups to large enterprises.
- Good understanding of Analytics ready data formats such as Parquet, ORC, JSON, etc. and Open Table formats Apache Iceberg, Apache Hudi, etc.
- Experience working in a fast-paced environment leveraging an agile development framework, understanding of test automation and continuous integration
- Bachelor s degree or higher in software engineering, CS, or any related field
- Experience in healthcare industry and finance domain is highly desired
Job Responsibilities:
- Collaborate with stakeholders to define business requirements and translate them into
effective Analytical solutions. Oversee end-to-end deliverables, ensuring successful closure of solutions.
- Design and implement highly efficient data pipelines using AWS, PySpark and
- Automated data completeness, Data Quality, Data Dependency checks
- Work with Data Engineers to build data ingestion pipelines to gather data from various data sources. E.g., Salesforce Health Cloud, Lab systems, financial and billing applications.
- Established a robust and scalable platform for centralized data storage, processing, and
or analysis in AWS.
- Established and maintain Data Governance using AWS Data Catalog,
- Co-ordinate closely with Finance, Ops, Compliance teams for regulatory reporting, Auditing, Financial closures.
- Initiate and lead technical design discussions within and across technical teams.
- Create artifacts, such as design and implementation documents, to guide development, implementation, and support
- Work with DevOps to develop and maintain automated deployment for regular release cadence.
- Provide second-tier production support
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
