Technical Lead

Job Summary

Role: Data Platform & Analytics Application Support Engineer

Role Summary

We are seeking a skilled Application Support Engineer to support enterprise datalake platforms, analytics applications, and data integration solutions. The role involves monitoring data pipelines, troubleshooting production issues, validating data quality, supporting releases, and collaborating with business and technical teams to ensure reliable operation of critical data-driven applications.

Key Responsibilities

· Monitor and support Data lake ingestion pipelines and downstream applications.

· Investigate data quality, freshness, and availability issues.

· Perform SQL-based troubleshooting and data validation.

· Analyze Airflow DAG failures and job execution issues.

· Review AWS Glue job executions and logs.

· Support GitHub-based deployments and code investigations.

· Trace end-to-end data lineage from source systems to consumer applications.

· Participate in incident, problem, and change management processes.

· Perform impact assessments and root cause analysis (RCA).

· Support Dataiku-based applications.

· Coordinate with business users, platform teams, and source system teams for issue resolution Required Technical Skills

SQL, Trino, Data Analysis, Airflow, AWS Glue, GitHub, CI/CD, Data Lineage Analysis, ETL/Data Pipeline Monitoring, Enterprise Data lake Architecture (L1/L2/L3/L4), Incident Management, Change Management, RCA, Stakeholder Communication.

Preferred Skills

· Python scripting

· Data modeling concepts

· Data transformation frameworks

· Cloud-based analytics platforms

· Data visualization and reporting tools

· API integrations

· Batch and file-based processing

· Manufacturing, Quality, Supply Chain, or Life Sciences domain experience

Hands On Exposure Needed on:

· SQL

· Git/GitHub

· CI/CD Pipelines

· Cloud Services (AWS)

· Apache Airflow Orchestration Tool

· Data Warehouse Platforms

· BI/Analytics Tools

· Python

· Data Catalog & Metadata Tools

Soft Skills

· Strong analytical and problem-solving abilities

· Ability to work in a 24x7 support environment if required

· Excellent verbal and written communication

· Ability to work independently and collaboratively

· Customer-focused mindset

· Attention to detail and ownership

Experience

· 5 to 6 years of Application Support / Data Support experience

· Experience supporting enterprise data platforms, analytics applications, or ETL systems

· Exposure to regulated environments is a plus

Key Responsibilities

Role: Data Platform & Analytics Application Support Engineer

Role Summary

We are seeking a skilled Application Support Engineer to support enterprise datalake platforms, analytics applications, and data integration solutions. The role involves monitoring data pipelines, troubleshooting production issues, validating data quality, supporting releases, and collaborating with business and technical teams to ensure reliable operation of critical data-driven applications.

Key Responsibilities

· Monitor and support Data lake ingestion pipelines and downstream applications.

· Investigate data quality, freshness, and availability issues.

· Perform SQL-based troubleshooting and data validation.

· Analyze Airflow DAG failures and job execution issues.

· Review AWS Glue job executions and logs.

· Support GitHub-based deployments and code investigations.

· Trace end-to-end data lineage from source systems to consumer applications.

· Participate in incident, problem, and change management processes.

· Perform impact assessments and root cause analysis (RCA).

· Support Dataiku-based applications.

· Coordinate with business users, platform teams, and source system teams for issue resolution Required Technical Skills

SQL, Trino, Data Analysis, Airflow, AWS Glue, GitHub, CI/CD, Data Lineage Analysis, ETL/Data Pipeline Monitoring, Enterprise Data lake Architecture (L1/L2/L3/L4), Incident Management, Change Management, RCA, Stakeholder Communication.

Preferred Skills

· Python scripting

· Data modeling concepts

· Data transformation frameworks

· Cloud-based analytics platforms

· Data visualization and reporting tools

· API integrations

· Batch and file-based processing

· Manufacturing, Quality, Supply Chain, or Life Sciences domain experience

Hands On Exposure Needed on:

· SQL

· Git/GitHub

· CI/CD Pipelines

· Cloud Services (AWS)

· Apache Airflow Orchestration Tool

· Data Warehouse Platforms

· BI/Analytics Tools

· Python

· Data Catalog & Metadata Tools

Soft Skills

· Strong analytical and problem-solving abilities

· Ability to work in a 24x7 support environment if required

· Excellent verbal and written communication

· Ability to work independently and collaboratively

· Customer-focused mindset

· Attention to detail and ownership

Experience

· 5 to 6 years of Application Support / Data Support experience

· Experience supporting enterprise data platforms, analytics applications, or ETL systems

· Exposure to regulated environments is a plus

Skill Requirements

Other Requirements