Senior Data

3 days ago

Mohali, Punjab, India Interserve solutions Pvt Full time ₹ 38,40,000 - ₹ 76,80,000 per year

Company Introduction: -

  • A dynamic company headquartered in Australia.
  • Multi awards winner, recognized for excellence in telecommunications industry.
  • Financial Times Fastest-growing Company APAC 2023.
  • AFR (Australian Financial Review) Fast 100 Company 2022.
  • Great promotion opportunities that acknowledge and reward your hard work.
  • Young, energetic and innovative team, caring and supportive work environment.

About You:

We are seeking an experienced and highly skilled Data Warehouse Engineer to join our data and analytics team. Data Warehouse Engineer with an energetic 'can do' attitude to be a part of our dynamic IT team. The ideal candidate will have over 5 years of hands-on experience in designing, building, and maintaining scalable data pipelines and reporting infrastructure. You will be responsible for managing our data warehouse, automating ETL workflows, building dashboards, and enabling data-driven decision-making across the organization.

Your Responsibilities will include but is not limited to:

  • Design, implement, and maintain robust, scalable data pipelines using Apache NiFi, Airflow, or similar ETL tools.
  • Develop and manage efficient data ingestion and transformation workflows, including web data crawling using Python.
  • Create, optimize, and maintain complex SQL queries to support business reporting needs.
  • Build and manage interactive dashboards and visualizations using Apache Superset (preferred), Power BI, or Tableau.
  • Collaborate with business stakeholders and analysts to gather requirements, define KPIs, and deliver meaningful data insights.
  • Ensure data accuracy, completeness, and consistency through rigorous quality assurance processes.
  • Maintain and optimize the performance of the data warehouse, supporting high-availability and fast query response times.
  • Document technical processes and data workflows for maintainability and scalability.

To be successful in this role you will ideally possess:

  • 5+ years of experience in data engineering, business intelligence, or a similar role.
  • Strong proficiency in Python, particularly for data crawling, parsing, and automation tasks.
  • Expert in SQL (including complex joins, CTEs, window functions) for reporting and analytics.
  • Hands-on experience with Apache Superset (preferred), or equivalent BI tools like Power BI or Tableau.
  • Proficient with ETL tools such as Apache NiFi, Airflow, or similar data pipeline frameworks.
  • Experience working with cloud-based data warehouse platforms (e.g., Amazon Redshift, Snowflake, BigQuery, or PostgreSQL).
  • Strong understanding of data modeling, warehousing concepts, and performance optimization.
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

  • Experience with version control (e.g., Git) and CI/CD processes for data workflows.
  • Familiarity with REST APIs and web scraping best practices.
  • Knowledge of data governance, privacy, and security best practices.
  • Background in the telecommunications or ISP industry is a plus.

Job Types: Full-time, Permanent

Pay: ₹40, ₹65,000.00 per month

Benefits:

  • Leave encashment
  • Provident Fund

Work Location: In person

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