Overview
Company: Hiredahead.com
Website: Visit Website
Business Type: Enterprise
Company Type: Product
Business Model: B2B
Funding Stage: Pre-seed
Industry: Technology
Salary Range: ₹ 20-35 Lacs PA
Job Description
About the Role
We are seeking a skilled and detail-oriented Data Engineer with at least 5 years of experience to join our growing data team in Bangalore. In this role, you will design, develop, and maintain scalable data pipelines and architectures that empower teams with timely and reliable data.
You’ll work closely with data scientists, analysts, and product teams to ensure the availability and quality of data to drive business decisions and innovation.
Key Responsibilities
Website: Visit Website
Business Type: Enterprise
Company Type: Product
Business Model: B2B
Funding Stage: Pre-seed
Industry: Technology
Salary Range: ₹ 20-35 Lacs PA
Job Description
About the Role
We are seeking a skilled and detail-oriented Data Engineer with at least 5 years of experience to join our growing data team in Bangalore. In this role, you will design, develop, and maintain scalable data pipelines and architectures that empower teams with timely and reliable data.
You’ll work closely with data scientists, analysts, and product teams to ensure the availability and quality of data to drive business decisions and innovation.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines.
- Develop and optimize data models and data warehouses using modern data stack tools.
- Collaborate with cross-functional teams to gather requirements and understand data needs.
- Ensure data quality, integrity, and consistency across all systems.
- Implement data validation, monitoring, and anomaly detection tools.
- Support analytics and machine learning initiatives by providing clean, transformed, and accessible data.
- Automate workflows and improve performance of data systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or similar roles.
- Strong proficiency in SQL and at least one programming language (Python/Scala/Java).
- Hands-on experience with data pipeline frameworks such as Apache Airflow, Luigi, or Dagster.
- Expertise in working with large-scale data platforms like Spark, Hadoop, or Databricks.
- Experience with cloud platforms (AWS/GCP/Azure), especially BigQuery, Redshift, or Snowflake.
- Familiarity with modern data stack tools like dbt, Fivetran, or Kafka is a plus.
- Solid understanding of data warehousing concepts and data modeling techniques.
- Experience with CI/CD tools and version control (e.g., Git).
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