Job Summary

We are seeking a skilled and motivated Data Engineer to design, develop, and maintain scalable data pipelines and data solutions that support analytics, reporting, and business intelligence initiatives. The ideal candidate will have robust experience in data integration, ETL/ELT development, cloud technologies, and data warehousing concepts.

Key Responsibilities
Design, develop, and maintain robust ETL/ELT pipelines for data ingestion and transformation.
Build and optimize scalable data architectures and data models.
Develop and manage data warehouses, data lakes, and data marts.
Integrate data from multiple sources, including databases, APIs, and third-party systems.
Monitor, troubleshoot, and optimize data pipeline performance.
Ensure data quality, integrity, security, and compliance across platforms.
Collaborate with data analysts, data scientists, business stakeholders, and application teams to support data requirements.




Automate data workflows and implement best practices for data governance.
Perform root cause analysis and resolve production issues related to data processing.

Required Skills

Technical Skills
Solid proficiency in SQL.
Experience with Python, PySpark, Scala, or Java.
Hands-on experience with ETL/ELT tools and frameworks.
Robust understanding of Data Warehousing concepts and dimensional modeling.
Experience with cloud platforms such as:
Microsoft Azure (ADF, Databricks, Synapse, ADLS)
AWS (Glue, Redshift, EMR, S3)
GCP (BigQuery, Dataflow, Cloud Storage)
Experience with Apache Spark, Hadoop ecosystem, or distributed computing frameworks.
Knowledge of workflow orchestration tools such as Apache Airflow.
Experience with version control tools like Git.

📌 Data Engineer Bengaluru (India)
🏢 StatusNeo Technology Consulting
📍 India