Urgent need - Data Engineer Support - Bangalore

Capgemini; Bengaluru; Hybrid; INR 1.800.000 - 2.400.000; Vollzeit

Zusammenfassung

Capgemini Bangalore is seeking a Production Support Lead with 6+ years of experience to head a team supporting critical applications and data platforms. The role requires leadership, incident management, and strong client-facing communication, with a hybrid work model in Bengaluru.

The candidate must demonstrate hands-on expertise in Databricks, PySpark, SQL, and AWS services, plus familiarities with Airflow, Snowflake, Kafka, and observability tools such as Datadog and Splunk.

Qualifikationen

• Strong hands-on experience with Databricks and PySpark.
• Excellent knowledge of SQL and data platform support.

Aufgaben

• Lead a team of production support engineers for business-critical apps and data platforms.
• Drive incident management, stakeholder engagement, and effective communication with client teams.

Kenntnisse

Databricks

PySpark

SQL

AWS Services

Airflow

Snowflake

Kafka

Datadog

Splunk

Production Monitoring & Support

Amazon SQS

Tools

ServiceNow

Jira

Confluence

Jobbeschreibung

Position: Production Support Lead
Experience : 6+ Years

Location: Bangalore (BLR)
Work Model: Hybrid

Mandatory Skills Databricks, Pyspark , SQL and ETL Experience

Key Responsibilities

The Production Support Lead will be responsible for leading a team of support engineers supporting business-critical applications and data platforms. The role demands strong leadership, incident management expertise, stakeholder engagement, and the ability to effectively communicate with client and business teams, along with technical skills.

Mandatory Technical Skills

• Databricks
• PySpark
• Apache Airflow
• Snowflake
• SQL
• AWS Services
• Amazon SQS
• Kafka
• Datadog
• Splunk
• Production Monitoring & Support

Should know

• ServiceNow
• Jira
• Confluence

Candidate Profile

The ideal candidate should possess:

• Strong hands-on experience with Databricks and PySpark
• Excellent knowledge of SQL and data platform support
• Proven experience working with AWS services
• Strong background in Production Support / Application Support
• Experience with Airflow, Snowflake, and distributed data processing platforms
• Expertise in monitoring and observability tools such as Datadog and Splunk
• Excellent verbal and written communication skills
• Strong client-facing and stakeholder management experience
• Ability to lead support teams and drive critical incident resolution in a fast-paced environment