Senior Data Engineer

Job Description:

Location: Ahmedabad
Role: Build, optimize, and maintain data pipelines and data platform components to support analytics and AI use cases for an e-commerce business.

Key Responsibilities

• Develop and maintain batch & streaming data pipelines from transactional, clickstream, and third-party sources.

• Work on data lake / lakehouse / warehouse environments across cloud platforms (e.g., AWS, Azure, Google Cloud Platform (GCP)).

• Build data models and implement medallion architecture (Bronze / Silver / Gold).

• Ensure data quality, reliability, lineage, and performance.

• Follow best practices for data governance, security, and PII handling.

• Collaborate with architects, analysts, and ML teams to deliver scalable data solutions.

• Optimize SQL, ETL/ELT workflows, and orchestration jobs for efficiency.

Required Skills

• 3–4+ years of experience in data engineering.

• Strong SQL & Python skills.

• Experience with streaming tools (Kafka, PubSub, Spark, Flink).

• Hands-on experience in building cloud-based data pipelines.

• Knowledge of data modeling: dimensional, data vault, medallion.

• Familiarity with lakehouse/warehouse tools (Databricks, Snowflake, BigQuery, Redshift, ClickHouse).

• Experience with orchestration tools (Airflow, Cloud Composer, etc.).

• Understanding of data governance, lineage, and privacy concepts (GDPR/CCPA).

• Experience with e-commerce or digital data is a plus.
  
  

• Data Engineer

• Data Pipelines

• Streaming (Kafka / Spark)

• SQL

• Python

• Data Lake / Warehouse

• Medallion Architecture

• Cloud Platforms (AWS / Azure / Google Cloud Platform (GCP))

• Databricks

• Snowflake

• Data Quality

• Data Governance
  
  
  Key Skill Required ::
  1. Kafka
  2. Apache Flink or Spark Streaming
  3. Airflow