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Business Intelligence Data Engineer- (Azure- Python- SQL) - Jobs in Hyderabad, Pakistan

1.00 to 10.00 Years   Hyderabad, Pakistan   16 Nov, 2022
Job LocationHyderabad, Pakistan
EducationNot Mentioned
SalaryNot Mentioned
IndustryOther Business Support Services
Functional AreaNot Mentioned

Job Description

About DuPont Water & ProtectionDuPont is seeking highly motivated data engineers to join a fast-growing data engineering team in DuPont?s Water & Protection division. The Water & Protection division develops innovative products in essential markets such as water purification, green buildings, and personal protection (e.g., Tyvek? protective suits, Kevlar? ballistic vests). As part of this team, you will have a high impact on a strategic digital transformation initiative with opportunities for career advancement as the team grows.Overall Function:In this role you will help build the future by developing automated data pipelines in DuPont?s data lake. DuPont?s data lake is a critical piece of infrastructure that will enable advanced analytics. We are looking to expand our capacity by adding a Data Engineer. In this role, you would support all aspects of data management from collecting, processing, and loading data to working on projects to increase the level of automation or to improve data quality and to drive value extraction. The ideal candidate will have strong attention to detail and highly collaborative: able to deliver high quality production code and coach junior team members.Position activities include:˙

  • Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks.
  • Build and maintain a Lakehouse architecture in ADLS / Databricks.
  • Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.
  • Work with DevOps team to deploy solutions in production environments.
  • Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors.
  • Participate as a full member of the global Analytics team, providing solutions for and insights into data related items.
  • Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices. You will lead projects that include other team members and participate in projects led by other team members.
  • Apply change management tools including training, communication, and documentation to manage upgrades, changes and data migrations.
To be qualified for this role, you must possess the following:
  • Bachelor?s degree or higher in STEM or related field.
  • 2-5 years of relevant IT experience with good exposure to Cloud technologies.
  • Experience using Databricks and proficiency in Microsoft Azure platform (incl. ADF and ADLS).
  • Experience querying databases and strong programming skills: PySpark, Python, SQL, etc.
  • Strong knowledge of data concepts and tools.
  • Ability to be an effective team member with remote colleagues spread across the globe.
  • Strong communication skills in English language (both written and spoken).
Preference will be given to these candidates:
  • Immediate joiners
  • Knowledge of distributed systems (e.g., Apache Spark or Databricks)
  • Knowledge of Delta Lake and Lakehouse architecture
  • Experience with multiple data programming languages (Spark-SQL, PySpark, Pandas)
  • Experience with On-premise databases such as SQL server, Oracle etc.
  • Experience with version control (e.g., Git), DevOps, CI/CD
DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our˙Accessibility Page for Contact Information.For US Applicants: See the ?Equal Employment Opportunity is the Law? poster at:˙http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfFor our U.S. Affirmative Action Policy,˙click here.

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