Data Engineer

AlgoLeap Technologies Pvt Ltd.; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

AlgoLeap Technologies Pvt Ltd. in Bengaluru seeks an experienced Data Engineer to design, build, and optimize ETL/ELT pipelines for batch and streaming data.

You will develop data warehouses and data lakes using Snowflake, BigQuery, and Redshift, collaborating with data scientists, analysts, and product teams to meet evolving data needs. The role requires hands-on with Spark, Kafka, and dbt, plus strong CI/CD and Git practices to ensure reliable, scalable data infrastructure.

Qualifications

• 5+ years of experience in data engineering or related role
• Proficiency in SQL and Python (or Scala/Java)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Hands-on with big data tools: Spark, Kafka, dbt, or similar
• Familiarity with data warehousing concepts and dimensional modeling
• Strong understanding of CI/CD and version control (Git)

Responsibilities

• Design, build, and optimize ETL/ELT pipelines for batch and streaming data
• Develop and maintain data warehouses and data lakes (Snowflake, BigQuery, Redshift)
• Collaborate with data scientists, analysts, and product teams to understand data needs
• Ensure data quality, reliability, and observability across pipelines
• Build and manage orchestration workflows (Airflow, Prefect, Dagster)
• Implement best practices for data modeling, partitioning, and performance tuning
• Monitor and troubleshoot data infrastructure issues in production

Skills

SQL

Python

Scala/Java

Cloud platforms

Big data concepts

Tools

Apache Spark

Kafka

dbt

Airflow

Dagster

Prefect

Git

CI/CD

Job description

Responsibilities

• Design, build, and optimize ETL/ELT pipelines for batch and streaming data
• Develop and maintain data warehouses and data lakes (e.g., Snowflake, BigQuery, Redshift)
• Collaborate with data scientists, analysts, and product teams to understand data needs
• Ensure data quality, reliability, and observability across pipelines
• Build and manage orchestration workflows (e.g., Airflow, Prefect, Dagster)
• Implement best practices for data modeling, partitioning, and performance tuning
• Monitor and troubleshoot data infrastructure issues in production

Requirements

• 5+ years of experience in data engineering or a related role
• Proficiency in SQL and Python (or Scala/Java)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Hands-on with big data tools: Spark, Kafka, dbt, or similar
• Familiarity with data warehousing concepts and dimensional modeling
• Strong understanding of CI/CD and version control (Git)

Nice to Have

• Experience with real-time/streaming pipelines (Kafka, Flink, Kinesis)
• Exposure to ML pipelines or MLOps tooling
• Knowledge of data governance and data catalog tools (e.g., Atlan, Alation)