Data Engineer
Found in: Whatjobs IN C2 - 3 weeks ago
About the job :
Job Description:
- Utilize PySpark and SQL programming languages to develop and maintain data pipelines for processing and analyzing large datasets.
- Work on-site from day one, collaborating closely with the team in a fast-paced environment.
- Preferably have experience in the Telecom domain to understand and address domain-specific challenges and requirements.
- Strong background in Big Data and ETL development, ensuring efficient and reliable data extraction, transformation, and loading processes.
- Proficiency in Cloud Technologies, particularly AWS S3 and AWS Athena, for storing and querying large-scale data sets.
- Experience with SQL databases such as Hive, Teradata, and Spark SQL for data querying and manipulation.
- Familiarity with Databricks for managing and optimizing Spark-based workflows.
- Good to have knowledge of Scala programming language.
- Collaborate with data scientists and analysts to understand their requirements and provide them with clean, structured data for analysis and modeling.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Stay updated with the latest trends and technologies in data engineering and implement best practices to continuously improve our data infrastructure.
SKILLS :
- Pyspark, SQL programming
- Good to have : Scala
- Proven experience (6+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment.
- Telecom Domain must.
- Big Data / ETL Development background needed.
- Cloud Technologies - AWS S3, AWS Athena
- SQL - Hive,Teradata,Spark SQL
- Databricks
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