Senior Data Engineer & Analytics Lead

GenixBit Labs Pvt. Ltd.; Bengaluru Urban; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

GenixBit Labs Pvt. Ltd. in Bengaluru, India is seeking a data engineer to build robust ETL pipelines and data warehouses powering real-time business telemetry and executive dashboards.

You will architect batch and streaming ETL/ELT pipelines using PySpark and SQL, maintain Snowflake and PostgreSQL schemas, and orchestrate workflows with Airflow or Dagster. Strong data modeling and governance are essential for high-quality analytics.

Qualifications

• 4+ years experience in Data Engineering, Big Data processing, or Data Warehousing.
• Expert proficiency in SQL, Python, Spark, and data modeling concepts.
• Hands-on experience with Snowflake, Databricks, BigQuery, or Redshift.
• Strong ability to translate raw data streams into high-value analytical tables.

Responsibilities

• Architect robust batch and streaming ETL/ELT pipelines using PySpark and SQL.
• Maintain Snowflake / PostgreSQL data warehouse schemas and dbt transformation models.
• Orchestrate data workflows using Apache Airflow or Dagster.
• Ensure data governance, schema validation, and high data quality metrics.

Skills

SQL

Python

Spark

Data modeling

Tools

Snowflake

Databricks

BigQuery

Redshift

PostgreSQL

Job description

About the Role

Build ETL data pipelines, Snowflake/Redshift data warehouses, and Apache Airflow orchestrations powering real-time business telemetry and executive dashboards.

Key Responsibilities

• Architect robust batch and streaming ETL/ELT pipelines using PySpark and SQL
• Maintain Snowflake / PostgreSQL data warehouse schemas and dbt transformation models
• Orchestrate data workflows using Apache Airflow or Dagster
• Ensure data governance, schema validation, and high data quality metrics

Requirements

• 4+ years experience in Data Engineering, Big Data processing, or Data Warehousing
• Expert proficiency in SQL, Python, Spark, and data modeling concepts
• Hands-on experience with Snowflake, Databricks, BigQuery, or Redshift
• Strong ability to translate raw data streams into high-value analytical tables