Data Engineer

4 - 6 years

7 - 14 Lacs

Posted:19 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

  • Job Title Data Engineer
  • Skills Python SQL Spark Bigdata
  • Location India
  • Experience Total 4 years of experience
  • Job Summary
  • We are seeking highly skilled and strategic Data Engineer to spearhead data engineering and reporting initiatives
  • The ideal candidate will have expertise in Big Data technologies and Business Intelligence with a strong focus on building scalable data pipelines and delivering impactful visual analytics
  • This role involves leading client engagements designing robust data architectures driving innovation through advanced reporting and visualization frameworks contributing to organizational excellence through innovation and thought leadership

Key Responsibilities:

  • Key Responsibilities
  • Lead end to end data engineering and reporting engagements from requirement gathering to solution development
  • Design and implement scalable data pipelines data model and process frameworks
  • Collaborate with stakeholders providing domain and technical thought
  • Perform Fit Gap analysis and translate business needs into actionable data solutions
  • Develop interactive dashboards and reports using visualization tools or Python based libraries
  • Ensure data quality governance and compliance across reporting solutions
  • Conduct performance tuning and optimization of data workflows and visualizations
  • Ensure compliance with release governance and manage incidents using industry standard tools
  • Contribute to Unit Organizational initiatives including Centers of Excellence COEs and innovation programs

Technical Requirements:

  • Required Skills Experience
  • 4 years of total experience with 3 years in data engineering and business intelligence
  • 4 years of hands on experience in Python and other open source data engineering tools
  • Strong expertise in data engineering data handling and statistical programming using modern IT tools
  • Understanding of Data Warehousing Business Intelligence and ETL processes
  • Proficiency and experience with Apache Spark and Big Data technologies e
  • g
  • Hadoop Hive
  • Proven experience in Agile methodologies including iterative development and sprint planning
  • Experience working in highly regulated environments ensuring data governance and compliance
  • Familiarity with release governance processes and incident management tools e
  • g
  • ServiceNow JIRA
  • Exposure to cloud platforms AWS Azure GCP

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