Data Engineer

7 days ago


Gurgaon, Haryana, India True Tech Professionals Private Limited Full time

Location :
Gurgaon (Hybrid Mode)

Experience :
5 years and above. (Less than 5 years will not be considered)

Immediate Joiners Preferred (Notice Period: 7 to 10 days)

We are seeking a skilled Senior Data Engineer to join our dynamic team.

The ideal candidate should have a strong background in data engineering with expertise in Python, Pyspark, AWS Glue, Athena, Redshift, and SQL.

The successful candidate will play a key role in designing, developing, and maintaining our data infrastructure, ensuring optimal performance and reliability.


Key Responsibilities :

  • Collaborate with crossfunctional teams to understand data requirements and design efficient data pipelines.
  • Develop and maintain ETL processes using Python, Pyspark, and AWS Glue for data extraction, transformation, and loading.
  • Optimize and troubleshoot existing data pipelines to ensure data accuracy and reliability.
  • Work with various data storage solutions, including Athena and Redshift, to support analytical and reporting needs.
  • Write complex SQL queries for data analysis and reporting purposes.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver scalable solutions.
  • Stay updated with industry best practices and emerging technologies in data engineering.

Key Skills :

  • Strong proficiency in Python and Pyspark for data engineering tasks.
  • Handson experience with AWS Glue, Athena, and Redshift.
  • Proficient in SQL with the ability to write complex queries for data analysis.
  • Solid understanding of data modeling and data warehousing concepts.
  • Excellent problemsolving and troubleshooting skills.
  • Proven track record of working in a collaborative team environment.
  • Experience with version control systems and best practices.

Experience :

  • Minimum 5 years of experience in data engineering roles.

Joining :

  • Immediate joiners preferred.
  • Notice period: 7 to 10 days.

Work Arrangement :

  • Preference will be given to candidates willing to work onsite in Gurgaon in a hybrid mode.


If you are passionate about data engineering, have a proven track record, and are excited to work in a dynamic environment, we invite you to apply for this challenging opportunity.

Please submit your resume and a cover letter highlighting your relevant experience.
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