Senior Manager

ExlService Holdings, Inc.; Pune District; On-site; INR 350,000 - 700,000; Full time

Job summary

EXL Talent Acquisition Team seeks a seasoned data architecture professional with extensive experience in data integration and cloud-based data platforms. You will work with BigQuery, Dataflow, Dataproc, and orchestration tools like Airflow to build scalable pipelines.

Expect to engage in data warehouse design, modern architectures, and real-time analytics across GCP/AWS/Azure, with BI tooling fluency in Looker, Power BI, Tableau, or Qlik.

Qualifications

• Experience with data integration technologies like BigQuery, Dataflow, Dataproc.
• 3-5 years management experience.
• 5+ years data architecture or data modelling.
• Bachelors or equivalent; Masters preferred.
• Data warehousing and OLTP experience.
• Spark/Hadoop/Hive with PySpark or Spark SQL.
• Experience with BigQuery, SQL Server, Oracle, PostgreSQL, Snowflake, Redshift, or similar.
• Orchestration tools such as Airflow, Cloud Workflows, Cloud Composer.
• Knowledge of data architecture philosophies (Dimensional, ODS, Data Vault).
• Modern data warehouse concepts: lakehouse, real-time analytics, CDC.
• Cloud and on-prem architectures (GCP focus, plus AWS/Azure).
• Aggressive Agile/Scrum practices; familiarity with Jira/GitHub/CI/CD.

Responsibilities

• Design and implement data pipelines and data integrations.
• Develop scalable data warehouse and data architecture solutions.
• Collaborate on cloud-native orchestration and analytics platforms.
• Leverage BI tools for analytics and reporting.

Skills

BigQuery

Dataflow

Dataproc

Airflow

Datastream

Pub/Sub

Cloud Run

Cloud Functions

DBT

Spark

PySpark

Hadoop

Spark SQL

CI/CD

JIRA

GitHub

Cloud Build

Terraform

Data architectures

Dimensional

ODS

Data Vault

GCP

AWS

Azure

Agile

Education

Bachelor’s degree

Master’s degree preferred

Tools

Looker

Power BI

Tableau

Qlik

BigQuery analytics

Job description

Education & Experience

• 10 Years industry implementation experience with data integration such as BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Datastream, Pub/Sub, Cloud Run, Cloud Functions, DBT, Apache Spark/PySpark, Hadoop ecosystem technologies, etc.3-5 years of management experience required
• 3-5 years consulting experience preferred
• Minimum of 5 years of data architecture, data modelling or similar experience
• Bachelor’s degree or equivalent experience, Master’s Degree Preferred
• Strong data warehousing, OLTP systems, data integration and SDLC
• Strong experience in big data frameworks & working experience in Spark or Hadoop or Hive (incl. derivatives like pySpark (prefered), Spark Scala or Spark SQL) or Similar, along with experience in libraries / frameworks to accelerate code development
• Experience with major database platforms (BigQuery, SQL Server, Oracle, PostgreSQL, Hadoop, Snowflake, Redshift, Cloud Storage (GCS), etc.)
• Strong experience in orchestration & working experience in either Cloud Composer (Airflow), Cloud Workflows, Cloud Scheduler, Dataflow orchestration, or similar cloud orchestration technologies.
• Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.)
• Understanding of modern data warehouse capabilities and technologies such as BigQuery, real-time analytics, cloud-native ELT, CDC, lakehouse architectures, and Big Data.
• Understanding of on premises and cloud infrastructure architectures (primarily GCP, along with AWS and Azure).
• Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in either JIRA, GitHub, GitHub Actions, Cloud Build, Terraform or similar with Experience in CI/CD using one or more code management platforms.
• 3-5 years’ development experience in decision support / business intelligence environments utilizing tools such as Looker, Power BI, Tableau, Qlik and BigQuery-based analytics platforms.