Data Engineer

Cortex Consultants LLC

Hyderabad

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

Cortex Consultants LLC is hiring a Data Engineer in India (Chennai / Hyderabad / Pune) to design and maintain scalable data pipelines and data models. You will work with Python, SQL, PySpark and Databricks on AWS cloud, delivering robust ETL/ELT solutions and ensuring data quality.

The role requires 6-8 years of experience, hands-on Python and SQL, and experience with data orchestration tools. L1 Virtual | L2 Face-to-Face interview process. Immediate notice period expectations.

Qualifications

  • Proven experience as a Data Engineer (6-8 years).
  • Strong hands-on experience in Python.
  • Proficiency in SQL (complex queries and performance tuning).
  • Strong expertise in PySpark and Databricks.
  • Hands-on experience in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda).

Responsibilities

  • Design and maintain data pipelines and data models.
  • Develop and optimize ETL/ELT processes for data warehousing.
  • Collaborate with data teams to ensure data quality and availability.
  • Leverage Airflow or AWS Step Functions for orchestration and automation.
  • Implement CI/CD practices for data engineering workflows.

Skills

Python
SQL
PySpark
Databricks
AWS

Tools

Airflow
AWS Step Functions
Git

Job description

Job Title

Data Engineer

Experience

6 8 Years

Location

Chennai / Hyderabad / Pune

Interview Process

L1 Virtual | L2 Face-to-Face

Notice Period

Immediate

Mandatory Skills
  • Python
  • SQL (Must Have)
  • PySpark
  • Databricks (Minimum 2 years of hands-on experience)
  • AWS (S3, Glue, EMR, Redshift, Lambda)
Job Requirements
  • Proven experience as a Data Engineer (6 8 years).
  • Strong hands-on experience in Python.
  • Proficiency in SQL (complex queries and performance tuning).
  • Strong expertise in PySpark and Databricks.
  • Hands-on experience in AWS cloud environment.
  • Experience with data pipeline orchestration tools (Airflow or AWS Step Functions).
  • Good understanding of Data Modeling, Data Warehousing, and ETL/ELT concepts.
  • Experience with Git and CI/CD practices.
  • Excellent problem-solving and communication skills.
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