Data Engineer

Pontoonglobal

⌖ WorldwideINR 800,000 – INR 1,400,000 / yearRemoteNot specified · Full-time

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Worldwide

About the role

Job Title: Data Engineer (PySpark / Scala / Python) Location: Remote Job Description: We are hiring a Data Engineer with strong hands-on experience in PySpark, Scala, and Python. You must have solid expertise in Apache Spark, as it will be the core technology used for building and managing large-scale data processing pipelines. Experience with cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, or AWS is a plus. Required Skills: Strong hands-on experience with Apache Spark Proficient in PySpark Experience in Scala and Python Knowledge of ETL processes and data pipeline design Understanding of distributed data processing Familiarity with version control tools like Git Basic knowledge of cloud platforms (GCP, AWS, or Azure) Nice to Have: Experience with cloud-native data tools (e.g., Dataproc, Glue, EMR, BigQuery) Familiarity with workflow/orchestration tools like Airflow or Cloud Composer Experience with CI/CD for data engineering Exposure to both structured and unstructured data Originally posted on Himalayas

Skills mentioned in the listing

PythonGitAWSAzureGoogle CloudCI/CDSparkETLData engineering

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · requirement-context
Data Engineer Job Title: Data Engineer (PySpark / Scala / Python) Location: Remote Job Description: We are hiring a Data Engineer with strong hands-on experience in PySpark, Scala, and Python. You must have solid experti

Git · desirable
ng of distributed data processing Familiarity with version control tools like Git Basic knowledge of cloud platforms (GCP, AWS, or Azure) Nice to Have: Experience with cloud-native data tools (e.g., Dataproc, Glue

AWS · requirement-context
ence with cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, or AWS is a plus. Required Skills: Strong hands-on experience with Apache Spark Proficient in PySpark Experience in Scala and Python Kno

Azure · requirement-context
es. Experience with cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, or AWS is a plus. Required Skills: Strong hands-on experience with Apache Spark Proficient in PySpark Experience in Scala and Py

Google Cloud · requirement-context
ing large-scale data processing pipelines. Experience with cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, or AWS is a plus. Required Skills: Strong hands-on experience with Apache Spark Proficient

CI/CD · requirement-context
h workflow/orchestration tools like Airflow or Cloud Composer Experience with CI/CD for data engineering Exposure to both structured and unstructured data Originally posted on Himalayas

Spark · requirement-context
perience in PySpark, Scala, and Python. You must have solid expertise in Apache Spark, as it will be the core technology used for building and managing large-scale data processing pipelines. Experience with cloud platfor

ETL · requirement-context
e Spark Proficient in PySpark Experience in Scala and Python Knowledge of ETL processes and data pipeline design Understanding of distributed data processing Familiarity with version control tools like Git Ba

Data engineering · requirement-context
/orchestration tools like Airflow or Cloud Composer Experience with CI/CD for data engineering Exposure to both structured and unstructured data Originally posted on Himalayas