3Pillar Global is hiring a

Senior Data Engineer

Mumbai, India
At 3Pillar Global, we specialize in building impactful software products that power digital businesses. We are looking for a talented Software Engineer who will not only write code but also deliver exceptional product capabilities for our clients. Your contributions will play a pivotal role in achieving our passion for client success, solidifying our position as a leading product development services company.

We are hiring a Senior Data Engineer coming with a strong experience in building data pipeline using PySpark, Python, ETL and Hadoop. Should have experience in Shell scripting and Banking domain.

The incumbent has to work from Office location - Vikroli, Mumbai for all weekdays.

Responsibilities:

  • Design, develop, and maintain data pipelines and workflows using Hadoop and PySpark to process large volumes of data efficiently.
  • Implement data ingestion, transformation, and storage solutions to support business requirements.
  • Develop and optimize Python scripts and algorithms for data manipulation, analysis, and modeling tasks.
  • Design and manage database systems, including schema design, indexing, and performance optimization.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Perform data quality assessment, validation, and cleansing to ensure accuracy and integrity of data.
  • Monitor and troubleshoot data pipeline issues, performance bottlenecks, and system failures.
  • Stay up to date with emerging technologies and best practices in data engineering and analytics.

Qualification:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Should have a minimum of 5 years of experience in the field of Database or Data Analytics
  • Minimum of 3 years of experience in data engineering, with expertise in Hadoop, PySpark, Python, and database technologies.
  • Strong proficiency in Hadoop ecosystem components such as HDFS, MapReduce, Hive, and Spark.
  • Experience with PySpark for data processing and analysis tasks.
  • Proficiency in Python programming for scripting and automation.
  • Solid understanding of database concepts and hands-on experience with SQL and NoSQL databases.
  • Experience with data modeling, schema design, and ETL processes.
  • Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

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