Senior Associate | Data Engineering | Chennai | Engineering as a Service/ Operate
Deloitte Advisory1 month ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, integration, and ETL/ELT pipelines.
- Build data models, data quality frameworks, validation processes, and trusted data assets.
- Support cloud-based data platforms and data warehouse/lakehouse environments.
- Implement data governance, security, lineage, and compliance standards across data assets.
- Monitor and optimize pipeline performance, reliability, scalability, and cost efficiency.
- Collaborate with data analysts, data scientists, product teams, and business stakeholders to translate requirements into technical data solutions.
- Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions.
- Create technical documentation, design specifications, and operational procedures.
- Participate in code reviews and promote engineering best practices for development, testing, and deployment.
- Contribute to automation, CI/CD processes, and continuous improvement across the data ecosystem.
- Work independently on moderately complex data engineering challenges and provide technical guidance to team members.
- Comply with employment terms, company policies, procedures, directives, and potential changes to work location, team, shifts, benefits, or work arrangements.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
- At least 3 years of experience in data engineering, software engineering, or big data development.
- Experience developing ETL/ELT pipelines and working with large-scale datasets.
- Experience with data warehouses, data lakes, and modern data architectures.
- Solid proficiency in SQL and Python for data processing and engineering.
- Knowledge of cloud-based data platforms such as Azure, AWS, or Google Cloud.
- Understanding of data modeling, data quality, and data governance principles.
- Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
- Ability to work independently with minimal supervision and handle multiple priorities.
- Preferred: cloud platform certifications in Azure, AWS, or GCP.
- Preferred: experience with Databricks, Spark/PySpark, Snowflake, BigQuery, or similar cloud data technologies.
- Preferred: experience supporting analytics, business intelligence, or AI/ML workloads.
- Preferred: experience in healthcare, financial services, or other highly regulated industries.
- Preferred: familiarity with Airflow, Azure Data Factory, or Cloud Composer.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksGoogle BigQueryGoogle CloudGoogle Cloud PlatformPythonSnowflakeSQL
Categories
Data Engineering
About Deloitte Advisory
Deloitte Advisory provides consulting and managed services that help organizations manage risk, strengthen controls, investigate fraud, meet regulatory requirements, and execute transactions using analytics and industry expertise. Offerings span cybersecurity, M&A due diligence, finance and regulatory transformation, internal audit, and tech-enabled platforms. It is part of Deloitte’s global network (founded in 1845 and privately held), with U.S. member-firm teams serving corporations and government agencies across sectors.