Lead Assistant Manager

EXL•Hartford, CT

1d•Hybrid

About The Position

We are seeking a Data Engineer with 3+ years of experience in building and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data platforms. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to deliver high-quality, reliable, and accessible data for reporting, analytics, and AI/ML use cases.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
3+ years of experience in Data Engineering or related roles.
Strong proficiency in SQL and Python.
Experience with ETL/ELT development and data pipeline orchestration.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience working with data warehouses such as Snowflake, BigQuery, Redshift, or Synapse.
Understanding of data modeling, data warehousing concepts, and performance tuning.
Experience with Git, CI/CD, and Agile development methodologies.

Nice To Haves

Knowledge of Apache Spark/PySpark and workflow orchestration tools such as Airflow.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines for ingesting and processing large datasets.
Build and optimize data workflows using Python, SQL, and distributed data processing frameworks.
Develop and manage data models, data warehouses, and data lakes.
Implement data quality checks, validation frameworks, and monitoring solutions.
Integrate data from multiple structured and semi-structured sources.
Collaborate with analysts, data scientists, and business teams to understand data requirements.
Optimize query performance and ensure scalability of data solutions.
Support CI/CD deployment, testing, and production monitoring of data pipelines.
Document data lineage, architecture, and technical processes.
Follow data governance, security, and compliance standards.