J Sr Data Engineer

Randstad India

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profile Job Location:

Pune - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Hiring for one of the Product based company in Pune.

Skills & Competencies required:

- Extensive hands-on experience with ETL development and data integration for large-scale complex systems including performance tuning and optimization.

- Proven expertise in designing and architecting ETL solutions using platforms such as Synapse Analytics Azure Data Factory Fabric Redshift or Databricks.

- A solid understanding of data warehousing and ETL processes

- Advanced SQL skills such as query optimization complex joins window functions

- Expert-level proficiency in Python (including pySpark) for large-scale data manipulation transformation and automation.

- Experience with Azure DevOps and CI/CD process

- Excellent problem-solving and analytical skills

- Experience in creating post-implementation documentation

- Excellent collaboration and communication skills with the ability to work effectively across multidisciplinary teams and present technical concepts to non-technical stakeholders.

- Attention to detail commitment to data quality and a proactive approach to identifying and addressing data issues

Requirements:

Bachelors or masters degree in information technology Computer Science or a related field.

5-10 years of relevant experience.

Strong interpersonal skills including analytical thinking creativity organizational abilities high commitment initiative in task execution and a fast-learning capability for understanding IT concepts

Hiring for one of the Product based company in Pune. Skills & Competencies required: - Extensive hands-on experience with ETL development and data integration for large-scale complex systems including performance tuning and optimization. - Proven expertise in designing and architecting ET...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala