Search by job, company or skills

6-8 Years
Not Disclosed
Early Applicant
  • Posted 2 months ago
  • Be among the first 20 applicants

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.

More Info

Job Type:
Industry:
Employment Type:

Key Skills

Similar Jobs

7-12 yrs
Bengaluru, Hyderabad, Pune
Skills:
snowflake , Databricks, Pyspark, Spark, Etl
Early Applicant
8-10 yrs
Hyderabad, India
Skills:
Power Bi, Apache Spark, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Powershell Scripting, Python, Azure DevOps, Lakehouse Architecture, SQL Performance Optimization, Azure SQL Database, Azure Data Lake Storage, Delta Lake, Microsoft Entra ID Azure AD
5-7 yrs
Hyderabad, India
Skills:
Power Bi, PowerShell, Azure Data Factory, Azure Synapse Analytics, Dax, Python, Azure DevOps, Azure Blob Storage, CI CD processes, Azure Data Lake Storage, Azure Analysis Services, Azure Data Catalog, Azure Data Services
5-7 yrs
Hyderabad, India
Skills:
risk management framework , Data Modeling, Data Architecture, Python, Devops, Data Quality, Agile, Data Governance, Sql, Data pipeline design, Software configuration management tools, Data observability
5-7 yrs
Hyderabad, India
Skills:
Git, Pyspark, Spark, Databricks, Sql, Python, Azure DevOps, AWS, dbt