Etl Developer

7 - 10 years

15 - 30 Lacs

Posted:13 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Role & responsibilities

Serve as a technical resource in managing and developing governance, process and procedures for the database ETL environment

  • Resolve increasingly complex problems and develop and implement solutions where expertise is required to interpret against policies, guidelines or processes
  • Collaborate, consult, and present technical information to Environment Management
  • Serve as a technical resource in managing and developing governance, process and procedures for the database ETL environment
  • Resolve increasingly complex problems and develop and implement solutions where expertise is required to interpret against policies, guidelines or processes
  • Collaborate, consult, and present technical information to management as it pertains to the database ETL environment
  • Typically referred to as a technical resource and advisor within the database ETL environment
  • Mentor junior level engineers and IT staff members
  • Design of data processes in Synapse, ADF, and Spark that land, clean and transform data for the ODS
  • Ensure the data processes are designed and tuned for optimal performance and make recommendations for change
  • Operate with large data volumes and tune for best performance on data loading and transformation
  • Design detailed documentation for lakehouse data structures and ensure accuracy is maintained
  • Serve as technical resource for data consumers to ensure a data driven culture exists at Cenlar

Preferred candidate profile

  • Bachelor's degree in computer science, data engineering, or a related field or equivalent work experience.
  • Minimum 5 to 8 years of experience designing, developing, and supporting databases
  • Experience in data engineering, data management, or DevOps roles
  • Strong ability in programming languages such as Pyspark, Python, C#, Scala or Power BI
  • Experience with data storage technologies (e.g., Azure Data stack, SQL on VM and cloud storage solutions such as Azure)
  • Proven experience using ADF/Spark/SQL/Synapse/Databricks at a high level
  • Experience with data orchestration tools and frameworks (e.g., Apache Airflow)
  • Strong ability in version control systems (e.g., Git) and CI/CD pipelines
  • Knowledge of cloud data platforms such as Azure and AWS
  • Strong problem-solving and troubleshooting skills
  • Ability to lead the development and implementation of increasingly complex and multi-faceted data projects
  • Strong problem-solving and troubleshooting skills coupled with the ability to recommend and develop process improvement strategies
  • Organizational skills with the ability to lead the development and implementation of increasingly complex and multi-faceted data projects
  • Highly skilled and motivated team player with demonstrated success in communicating increasingly complex subject matter to all levels of the organization including management

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