Senior Manager

EXL Service -
Gurugram, Haryana

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Job details

Full-time

Qualifications

CI/CD
Azure
DevOps
Spark
Git
SQL
AWS
Bachelor's degree
Version control systems
Terraform
Continuous integration
S3
Data science
Redshift
Data warehouse
Python
Identity & access management
Analytics

Full job description

Job Description: Oversee data engineering solutions at an organizational level. Lead high-impact data initiatives. Ensure alignment of data practices with organizational goals. Provide executive-level strategic guidance.

Key Responsibilities

Design, build, and maintain robust, scalable data pipelines using AWS services.
Develop and optimize ETL/ELT processes to ingest, transform, and load large datasets from multiple sources.
Work with structured and unstructured data, ensuring high data quality and integrity.
Implement and manage data lakes and data warehouses using AWS technologies.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.

Responsibilities: Key Responsibilities

Design, build, and maintain robust, scalable data pipelines using AWS services.
Develop and optimize ETL/ELT processes to ingest, transform, and load large datasets from multiple sources.
Work with structured and unstructured data, ensuring high data quality and integrity.
Implement and manage data lakes and data warehouses using AWS technologies.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.
Monitor, troubleshoot, and optimize data workflows and queries for performance and cost efficiency.
Implement infrastructure as code (IaC) practices using Terraform.
Integrate CI/CD pipelines and DevOps practices using Azure DevOps.
Ensure data security, governance, and compliance best practices are followed.
Document data architecture, processes, and standards.

Qualifications: Graduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.

Required Skills & Experience

10+ years of experience in Data Engineering or related roles with a least 5+ of these building solutions in AWS.
Hands-on expertise with key AWS services:
S3, Lambda, Glue, Redshift, Athena, Step Functions, EventBridge, SQS, SNS, IAM, Cloudwatch, VPC
Solid understanding of data warehousing and data lake architectures
Expertise in the design and development of data marts, including dimensional modeling (star/snowflake schemas) and building optimized, business-focused data models for analytics and reporting
Strong expertise with SQL, Python and Spark.
Experience with creating of AWS resources using Infrastructure as Code (IaC), preferably through Terraform.
Familiarity with DevOps practices and tools, such as Azure DevOps.
Experience with version control systems (e.g., Git).
Strong problem-solving skills and attention to detail.

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