- Spark
- Databricks
- PySpark or Scala
- SQL & Python
- Github
- DWH (Snowflake or Presto or Hive or Hadoop)
- Data Pipeline & Data Model
- Proven experience of 7-9 years in Data Engineering.
- Proficiency in Spark, Databricks, PySpark or Scala, SQL, and Python.
- Strong knowledge of version control using Github.
- Experience with Data Warehousing solutions.
- Expertise in designing and implementing data pipelines and data models.
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Data Engineer - india, India - Capleo Global
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
Lead Data Engineer
Experience: 8-10 years
Location: Bengaluru
Availability: Immediate to 30 days
Mandatory Skills:
We are seeking an experienced Senior Data Engineer to join our dynamic team in Bengaluru. If you are passionate about shaping the future of data engineering and possess expertise in the mentioned technologies, we want you on board
Key Responsibilities:
Spark and Databricks:
Leverage your extensive experience to work with Spark and Databricks for large-scale data processing.
PySpark or Scala:
Apply your proficiency in PySpark or Scala to develop efficient data solutions.
SQL & Python:
Utilize your strong SQL and Python skills for data manipulation and analysis.
Github:
Collaborate effectively using version control tools like Github.
Data Warehouse (DWH):
Work with DWH solutions such as Snowflake, Presto, Hive, or Hadoop.
Data Pipeline & Data Model:
Design and implement robust data pipelines and data models for seamless data flow.
Qualifications: