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Data Analyst/ Data Engineer - Trenton, United States - Extendinfosys
Description
Job Title:
Data Analyst/ Data Engineer
Location:
Warren, NJ (1 days a week)
Duration:
Long Term
( W2 only)
Experience level : 10+ yrs
Data Engineer Specializing in ADF (Azure Data Factory), Databricks, Spark SQL, and Dashboard Development
We are currently seeking a skilled Data Analyst with proficiency in Azure Data Factory (ADF), Databricks, Spark SQL, and dashboard creation
This role involves:
Data Analysis with ADF and Databricks: Utilizing Azure Data Factory and Databricks for comprehensive data analysis. This includes extracting, transforming, and loading data (ETL) processes, and managing data workflows.
Expertise in Spark
SQL:
Leveraging Spark SQL for querying and analysing large datasets within Databricks environments. The candidate should possess the ability to write efficient, complex SQL queries.
Data Mapping Creation:
Developing detailed data mappings to assist in the integration and transformation of data from various sources into structured formats for analysis.
Dashboard Development:
Designing and building intuitive, informative dashboards that effectively communicate data insights. Experience with tools like Tableau, Power BI, or Databricks' native visualization capabilities is preferred.
Data Quality and Integrity:
Ensuring the accuracy and consistency of data throughout the data processing lifecycle, from extraction to visualization.
Collaborative Project Involvement:
Working collaboratively with cross-functional teams, including data engineers and business stakeholders, to understand requirements and deliver data-driven solutions.
Data-Driven Decision Making:
Assisting in the interpretation of data and providing insights that support business decision-making.
Continuous Learning and Improvement:
Staying updated with the latest trends and advancements in data analytics, ADF, Databricks, and Spark SQL to continuously improve processes and implementations.
Technical Documentation:
Creating clear and comprehensive documentation regarding data processes, mappings, and dashboard functionalities.
Problem-Solving Skills:
Utilizing strong analytical and problem-solving skills to address challenges in data analysis and dashboard development.
The ideal candidate will have a strong background in data analysis, with a demonstrated ability to handle large datasets and build effective visualizations.
They should be comfortable working in a dynamic, fast-paced environment and possess excellent communication skills to articulate complex data concepts to non-technical stakeholders.
Thanks & RegardsAnoop Tiwari
Extend Information Systems
Cell:
Email:
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