Lead Data Engineer - Spark / Scala

TymblHub

Hinoba-an

Vor Ort

PHP 900.000 - 1.500.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

V2 Solutions is seeking a seasoned Data Analytics & BI professional to join our team in the Philippines. You will design and maintain ETL pipelines, transform data with Python libraries, and deliver advanced SQL queries to support business decisions.

You will work with BI tools including Power BI, Tableau, and Looker, and manage data workflows with Airflow, ensuring data quality and timely insights for stakeholders.

Qualifikationen

  • 6+ years of data analytics and BI experience.
  • Hands-on with Spark, Hive, Scala.
  • Experience building ETL data pipelines from multiple sources.
  • Python scripting for data transformation (Pandas, NumPy).
  • Strong SQL skills with advanced queries.
  • Proficient in Power BI, Tableau, Looker.
  • Hands-on with Airflow for data engineering pipelines.
  • Strong communication abilities.

Aufgaben

  • Build and maintain ETL data pipelines from diverse sources.
  • Develop data models and dashboards for business insights.
  • Collaborate with teams to translate requirements into data solutions.
  • Optimize data workflows and ensure data quality.

Kenntnisse

Data analytics
BI
Python
SQL
Communication

Tools

Spark
Hive
Scala
Power BI
Tableau
Looker
Airflow

Jobbeschreibung

Notice Period : Immediate to 15 Days.

Job Description :
  • 6+ years of overall Data Analytics and BI experience
  • Experience in Spark, Hive, Scala.
  • Build data pipelines for ETL that fetch data from variety of sources such as flat files relational databases and APIs
  • Python scripting with focus on data transformation and manipulation libraries such as Pandas and numpy
  • Strong knowledge and hands-on experience of SQL (should be able to write advance level SQL queries)
  • Good hands-on experience on data visualization tools such as Power BI, Tableau, Looker
  • Good understanding and hands-on experience of Data engineering pipeline management tools such as Airflow
  • Good Communication skills.
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