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Etl Developer

4.00 to 9.00 Years   Pune,Bangalore, Chennai, Noida, Hyderabad, Gurugram, Mumbai City, Delhi   11 Jan, 2025
MACKENZIE MODERN IT SOLUTIONS PRIVATE LIMITED
Job LocationPune,Bangalore, Chennai, Noida, Hyderabad, Gurugram, Mumbai City, Delhi
EducationNot Mentioned
SalaryRs 7 - 16 Lakh/Yr
IndustryRetail
Functional AreaEngineering Design / Construction
EmploymentTypeFull-time

Job Description

    Key Responsibilities:
    1. Implement Custom ETL Processing:
      • Design, implement, and optimize customized ETL processes for new clients, ensuring seamless data extraction, transformation, and loading.
      • Develop and maintain tailored ETL solutions based on client-specific data requirements and business needs.
      • Troubleshoot and resolve issues in the ETL pipelines to ensure smooth data flow and minimal downtime.
    2. Production Support & Troubleshooting:
      • Assist in identifying and resolving production operations issues as they arise, ensuring minimal impact on client operations.
      • Provide timely support to address issues related to data interfaces, pipeline failures, and system performance.
      • Work with cross-functional teams to identify root causes of recurring issues and suggest improvements.
    3. Develop and Support Data Interfaces:
      • Collaborate with engineering teams to develop, test, and deploy new and pre-existing programs related to data interfaces, ensuring accurate data transfer and integration.
      • Maintain and update existing data interfaces, ensuring compatibility with evolving technologies and business requirements.
    4. Cross-Functional Coordination:
      • Coordinate with engineering, operations, and product teams to address production performance concerns, mitigating client risks and ensuring service-level agreements (SLAs) are met.
      • Act as a liaison between multiple groups to prioritize and resolve production issues efficiently.
    5. Standard Operating Procedures & Documentation:
      • Build and continuously improve standard operating procedures (SOPs) and troubleshooting documents to enhance team efficiency and minimize response time for issue resolution.
      • Ensure that documentation is updated regularly and accessible to relevant stakeholders.
    6. Metrics Reporting & Performance Optimization:
      • Develop and report key performance metrics related to data operations, identifying areas for improvement and operational efficiency gains.
      • Analyze metrics to surface meaningful insights, track performance trends, and suggest actionable improvements to processes.
    7. Collaboration with Engineering Teams:
      • Work closely with engineering teams to build tools and features necessary for improving the efficiency and scalability of production operations.
      • Contribute to the continuous improvement of data pipelines, ensuring they are optimized for high performance and low latency.
    Skills and Qualities Required:
    • Technical Skills:
      • Strong experience with ETL tools and technologies (Informatica, Talend, Apache NiFi, etc.).
      • Proficiency in programming languages like SQL, Python, Java, or Scala for data integration and processing.
      • Familiarity with data warehouses, cloud storage, and databases (SQL, NoSQL, etc.).
      • Knowledge of cloud platforms (AWS, GCP, or Azure) and big data technologies (e.g., Hadoop, Spark) is an advantage.
    • Problem-Solving:
      • Excellent troubleshooting and analytical skills to identify root causes of data pipeline failures and resolve issues effectively.
    • Communication & Collaboration:
      • Strong communication skills for coordinating with cross-functional teams and reporting technical issues to non-technical stakeholders.
      • Ability to document processes and create clear, actionable troubleshooting guides.
    • Attention to Detail:
      • High attention to detail in ensuring data accuracy and maintaining high-quality production environments.
    • Project Management:
      • Ability to prioritize tasks and manage multiple projects concurrently, ensuring deadlines are met and client expectations are exceeded.
    • Experience with Metrics:
      • Ability to track and report on metrics, identifying areas for operational improvement.

Keyskills :
oracledata engineeringjavapostgresqlazurelinuxplsqlunixetl

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