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Job Title : Sr. Data Engineer - Azure Data Factory and Databricks

Company Overview :

We combine innovation with a collaborative, friendly culture backed by a reputable, long-established parent company known for its ethical values. Our mission is to help customers transition from "whats now" to "whats next" by unlocking the value of their data and applications to address digital challengesdelivering outcomes that benefit both business and society.

Job Details:

Location : PAN India

Work Mode : Hybrid

Experience Required : 7+ years (Minimum 6 years relevant)

Job Type : Contract to Hire (C2H)

Notice Period : Immediate Joiners

Mandatory Skills :

Agile Development - 5 to 7 years

Databricks & Python - 5 to 7 years

Azure Data Factory - 5 years

Data Validations - 5 to 7 years

Key Responsibilities :

- Collaborate with source data teams and product owners to design, implement, and support analytics solutions delivering business insights.

- Build and support data engineering and migration pipelines using Azure services like Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Functions, Event Hub, and Azure Stream Analytics.

- Engage in the full development lifecycle including design, cloud engineering, ingestion, preparation, modeling, testing, CI/CD pipelines, deployment, and production support.

- Provide technical leadership within a DevOps team and contribute to ownership and support of products.

- Implement both batch and streaming data pipelines using cloud technologies.

- Establish coding standards, best practices, and data security guidelines.

- Mentor junior team members and foster a multi-functional team environment.

Minimum Qualifications :

- Bachelors degree in Computer Science, Engineering, Information Systems, or related field (or equivalent training/experience).

- 2-3 years of experience in agile-based software solution development.

- 3+ years of data engineering using SQL.

- 4+ years of cloud development experience, preferably on Microsoft Azure.

Technical Expertise Required :

Languages/Tools :

- Python, PySpark, Unix, SQL

- Java, Scala

- FAST API (5+ years preferred)

Data Platforms :

- Teradata, SQL Server, Snowflake

Preferred Qualifications :

- 5+ years in full-stack development, preferably on Azure.

- 5+ years in SQL-based data analytics.

- Airline industry experience is a plus.

- Azure Development Track Certification (preferred).

- Spark Certification (preferred).

Skills Summary :

Mandatory Skills :

- Java, Python, Scala, Snowflake, Azure Blob Storage, Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, Azure Data Lake, ANSI-SQL, Databricks, HDInsight

Good to Have : Python (additional proficiency)