Job Details

- Organization: Mphasis

- Location: PAN India(Any Mphasis Office)

- Job Type: Contract To Hire

- Payroll : Absika Solutions

- Work Mode: Hybrid

Candidate Details Required:

Full Name As Per Aadhaar :

Total Experience

Relevant Experience

Current CTC

Expecting CTC

Notice Period

Alternate No

Alternate Mail ID

Reason for job change

Reason for Relocation

Location: (please confirm)

PAN Number

:

Core Responsibilities

- Design and implement scalable data platforms and pipelines using Azure Databricks, Apache Spark, Delta Lake, and MLflow.

- Lead the migration of legacy data platforms to modern Lakehouse architecture.

- Develop and optimize batch and streaming data pipelines for data ingestion, transformation, and analytics.

- Establish and enforce standards for data governance, data quality, security, and compliance.

- Collaborate with business stakeholders and technical teams to align data architecture with business objectives.





- Mentor data engineers and developers on Azure Databricks best practices and scalable data engineering solutions.

- Integrate Databricks with Power BI, Tableau, Apache Kafka, Snowflake, and Azure Data Factory.

- Optimize distributed data processing, Spark jobs, and overall platform performance.

- Implement CI/CD pipelines and DevOps practices for data engineering workflows.

Mandatory Skills

- Strong hands-on experience with Azure Databricks and Microsoft Azure services.

- Proficiency in SQL, Python, Scala, Apache Spark, and PySpark.

- Robust knowledge of Delta Lake, Lakehouse architecture, and distributed computing.

- Experience building and managing batch and real-time data pipelines.

- Hands-on experience with CI/CD, DevOps, and orchestration tools such as Azure Data Factory or Apache Airflow.

- Deep understanding of performance tuning, data security, and data governance.

- Experience with enterprise-scale data platform design and implementation.

📌 Azure Data Engineer (Bengaluru)
🏢 Absika Solutions
📍 Bengaluru