Data Engineer

Company Name:

Job Title: Data Engineer

Qualification: Any graduation

Experience: 5 to 8 years

Must Have Skills:

SQL Expertise: Strong command of SQL for data extraction, transformation, and analysis.

ETL Development: Experience designing, building, and maintaining ETL/ELT pipelines.
Big Data Tools: Hands-on experience with Spark, Hadoop, or similar frameworks.
Cloud Data Platforms: Experience with data services on AWS (e.g., Redshift, Glue), Azure (e.g., Data Factory, Synapse), or GCP (e.g., BigQuery).
Programming Skills: Proficiency in Python or Scala for data manipulation and pipeline development.

Good to Have Skills:

Data Modeling: Understanding of dimensional and relational data modeling (e.g., star/snowflake schemas).

Workflow Orchestration: Familiarity with tools like Airflow, Prefect, or Luigi.
Streaming Data: Exposure to real-time data processing using Kafka, Kinesis, or Flink.
Version Control & CI/CD: Experience with Git and deploying data pipelines via CI/CD.
Data Quality & Governance: Knowledge of data quality tools and governance best practices.

Roles and Responsibilities:

Data Modeling: Understanding of dimensional and relational data modeling (e.g., star/snowflake schemas).

Workflow Orchestration: Familiarity with tools like Airflow, Prefect, or Luigi.
Streaming Data: Exposure to real-time data processing using Kafka, Kinesis, or Flink.
Version Control & CI/CD: Experience with Git and deploying data pipelines via CI/CD.
Data Quality & Governance: Knowledge of data quality tools and governance best practices.

Location: Bangalore, Hyderabad, and Chennai

CTC Range: 30LPA

Notice Period: Immediate

Shift Timings: General

Mode of Interview: Virtual

Mode of Work: Hybrid

Mode of Hire: Permanent