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Aws Data Engineer @ Careernet

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 Aws Data Engineer

Job Description

Key Skillset: AWS,Python,SQL,Databricks and Data Modelling

Job Description:

  • Proven experience as a Data Engineer (typically 5-10 years, depending on level).
  • Strong hands-on experience with Python for data engineering tasks.
  • Proficiency in SQL (writing complex queries, performance tuning).
  • Strong expertise in PySpark and Databricks.
  • Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).
  • Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
  • Solid understanding of data modeling, warehousing, and ETL/ELT concepts.
  • Knowledge of version control systems (Git) and CI/CD practices.
  • Excellent problem-solving and communication skills.

Kindly acknowledge the mail with the below details and acceptance for the above Job description!

Name:

Contact Number:

Primary Email:

Date of Birth (DOB):

PAN Number (Mandatory):

Education:

Current Organization - Payroll :

Total IT Experience & Relevant Exp:

Notice Period :

Current CTC (Fixed + Variable):

Expected CTC (Fixed):

Counter Offer Details With DOJ:

Current Work Location:

Preferred Work Location:


For Queries:

Sanjeevan Natarajan - sa****************n@ca******t.in


Job Classification

Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Agilisium
Location(s): Chennai

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Keyskills:   Pyspark Data Bricks Python Spark Data Modeling Data Warehousing ETL AWS SQL

 Fraud Alert to job seekers!

₹ 15-30 Lacs P.A

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