Senior Data Warehouse Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 3 years ago
8-10 years
Hyderabad, Telangana, India
Data Science Analytics & Machine Learning
Work From Office
Full Time

Posted: 3 years ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Hello Job Seekers,

Hope you all are doing good!

One of our client is urgently hiring for Senior Data Warehouse Engineers. Kindly find below the details & JD:

Role: Senior Data Warehouse Engineer

Location: Hitech City, Hyderabad

Mode: Work From Office(WFO)

Experience: Total 8+ Years

Type: Full-Time / Permanent

Notice Period: Immediate joiners - 15 days

:

Our client is seeking for a highly skilled and experienced Senior Data Warehouse Engineer to join their dynamic team. As a Senior Data Warehouse Engineer, you will play a crucial role in the design, development, and maintenance of our data warehouse infrastructure. Your expertise in ETL tools, open-source data warehouse architecture, and data integration will be instrumental in ensuring the reliability, scalability, and performance of our data warehouse solutions.

Responsibilities:

  • Design and develop data warehouse solutions:
  • Collaborate with cross-functional teams to gather requirements and translate them into scalable and efficient data warehouse designs.
  • Design and implement data models, schemas, and architecture for optimal performance and scalability.
  • Develop and maintain ETL processes to extract, transform, and load data from various sources into the data warehouse.
  • Implement and optimize ETL workflows:
  • Utilize your expertise in ETL tools (e.g., Informatica, Talend, or equivalent) to build and maintain data integration workflows.
  • Identify and resolve performance bottlenecks and optimize ETL processes for improved efficiency and reliability.
  • Ensure data quality and integrity throughout the ETL process by implementing data validation and cleansing techniques.
  • Maintain and enhance the data warehouse infrastructure:
  • Monitor and troubleshoot data warehouse performance, identifying and resolving issues proactively.
  • Implement automation and monitoring solutions to streamline operational tasks and ensure the availability and reliability of the data warehouse.
  • Collaborate with system administrators and database administrators to manage data storage, backups, and disaster recovery processes.
  • Collaborate with stakeholders:
  • Work closely with business users, data analysts, and other teams to understand their data requirements and provide scalable solutions.
  • Collaborate with data scientists and analysts to ensure data availability and accessibility for advanced analytics and reporting.
  • Provide technical guidance and support to junior members of the team, fostering knowledge sharing and continuous improvement.

Requirements:

  • Proven experience as a Data Warehouse Engineer, with a focus on designing, developing, and maintaining data warehouse solutions.
  • Strong proficiency in ETL tools and technologies, such as Informatica, Talend, or equivalent.
  • In-depth knowledge of open-source data warehouse architecture (e.g., Apache Hive, Apache Hadoop, or Snowflake).
  • Knowledge of Apache Airflow for workflow orchestration and scheduling of ETL processes.
  • Experience with Vertica columnar database, for data warehousing and analytics is a great plus.
  • Experience with data modeling, schema design, and data integration techniques.
  • Proficiency in SQL and scripting languages (e.g., Python, Shell scripting).
  • Familiarity with cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery) is a plus.
  • Strong problem-solving skills and the ability to analyze complex data-related issues.
  • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
  • Strong attention to detail and the ability to work in a fast-paced and dynamic environment.
  • If you are passionate about data warehouse architecture, ETL processes, and leveraging data to drive insights and decision-making, we would love to hear from you. Join our team and contribute to the development of our cutting-edge data warehouse infrastructure.

Skills

AnalyticsAutomationContinuous ImprovementData IntegrationData ModelingData QualityData ValidationData WarehousingDesigningEtlKnowledge SharingPythonQualityReportingSql

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