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3 Weeks ago

Data Engineer /Senior Data Engineer

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Hyderabad, Telangana, India
Information Technology
Full-Time
Prescience Decision Solutions

Overview

· Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals.

· Demonstrate deep technical and domain knowledge of relational and non-relational databases, Data Warehouses, Data lakes, among other structured and unstructured storage options.

· Determine solutions that are best suited to develop a pipeline for a particular data source.

· Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development.

· Write custom scripts to extract data from unstructured / semi-structured sources.

· Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders.

· Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability).

· Stay current with and adopt new tools and applications to ensure high quality and efficient solutions.


Requirements

· Build a cross-platform data strategy to aggregate multiple sources and process development datasets.

· Proven work experience as a Data Engineer or a similar role, focusing on data pipeline development, API integration, database design, and data management.

· Strong expertise in Azure cloud services, particularly Azure Data Factory (ADF), Azure SQL Database, Azure Blob Storage, Azure Data-bricks.

· Proficient in SQL and Python programming and experience working with relational databases, data warehousing, and data modelling concepts.

· Experience with API integration, including RESTful APIs, data extraction, and data ingestion from external systems.

· Solid understanding of ETL processes, data integration, and data transformation techniques.

· Proficiency in Python programming and experience with data manipulation, automation, and scripting tasks.

· Strong problem-solving and analytical skills, with the ability to identify and resolve complex data related issues


Benefits

· Competitive salary and performance-based bonuses.

· Comprehensive insurance plans.

· Collaborative and supportive work environment.

· Chance to learn and grow with a talented team.

· A positive and fun work environment.



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