Pyspark Data Engineer

2 weeks ago


Delhi, Delhi, India Edstem Technologies Full time
We are seeking a talented and experienced Py Spark Data Engineer to join our dynamic team.

The ideal candidate will have a strong background in data engineering, a passion for big data technologies, and the ability to work in a fast-paced, collaborative environment.


Key Responsibilities:

Data Pipeline Development:

Design, develop, and maintain scalable data pipelines using Py Spark to process large volumes of data from various sources.


Data Integration:
Integrate data from multiple data sources and formats, ensuring high data quality and reliability.

Optimization:
Optimize and tune data processing jobs for performance and cost-efficiency.

Collaboration:
Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.

ETL Processes:
Develop and maintain ETL processes to extract, transform, and load data into data warehouses and data lakes.

Data Quality:
Implement data validation and monitoring processes to ensure data accuracy and consistency.

Documentation:
Document data engineering processes, workflows, and best practices.

Troubleshooting:
Identify, troubleshoot, and resolve data-related issues promptly.

Required Qualifications:
Experience: 3+ years of experience in data engineering or a related field.

Education:
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Technical Skills:
Proficiency in Py Spark and Python.
Strong knowledge of big data technologies such as Hadoop, Hive, and Spark.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google Big Query, Snowflake).
Knowledge of relational and No SQL databases (e.g., My SQL, Mongo DB, Cassandra).

Data Processing:
Experience with ETL/ELT processes and data pipeline orchestration tools (e.g., Apache Airflow, Apache Ni Fi).

Problem-Solving:
Strong analytical and problem-solving skills.

Communication:
Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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