Data Engineer

3 months ago


Jaipur, India SK Finance Ltd Full time

Job Summary: We are seeking a Data engineering Specialist with a diverse skill set covering SQL, Python, Azure Data Factory, SQL Studio, SSIS Services, NoSQL Database , Advanced Excel, ETL Processes, Complex SQL Queries, SQL Pipeline Creation, Job Scheduling, Advanced Analytics, The ideal candidate will be spearhead data infrastructure initiatives, ensuring robust pipelines and optimized solutions.


Primary Requirement: Advance Excel is Compulsory and Professional in SQL and Python.


Role & Responsibilities:


  • Architect, develop, and optimize end to end ETL processes including table creation.
  • Design scalable and performant data models, schemas, and architectures while ensuring data integrity and security across various databases (PostgreSQL, MongoDB, NoSQL).
  • Employ Azure Data Factory for orchestrating complex data workflows, along with SQL Studio and SSIS services for seamless integration, transformation, and loading.
  • Craft intricate SQL Queries, implement performance optimizations, and establish SQL pipelines to support diverse analytical needs,
  • Leverage Python, Py Spark, and Big Data Querying methodologies for advanced data processing, analysis, and manipulation.
  • Implement rigorous data quality checks and enforce data governance practices to maintain high – Quality Data standards.
  • Utilize advanced excel capabilities for sophisticated data analysis, visualization, and reporting.
  • Innovate and stay abreast of emerging trends and best practices in data engineering.


Requirements:


  • Minimum 3 to 5 years Exp as a Data Engineer.
  • Bachelor’s degree in computer science, information Technology, or related field.
  • Proficiency in SQL, Python, and advanced Excel.
  • Extensive experience with Azure Data Factory, SQL Studio and SSIS services.
  • Strong expertise in ETL processes table creation and web data scripting.
  • Mastery in managing diverse databases including PostgreSQL, MongoDB, and No SQL systems.
  • Advanced skills in crafting and optimizing complex SQL queries and pipelines.
  • Exceptional problem-solving ability, attention to detail and collaborative aptitude.

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