Senior Associate | Data Engineering | Chennai | Engineering as a Service/ Operate
Deloitte Advisory2 months ago
Chennai, IndiaSenior
Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, integration, and ETL/ELT pipelines.
- Build and optimize solutions for structured and unstructured data from multiple sources.
- Translate business and customer requirements into technical data solutions.
- Develop data models, data quality frameworks, validation processes, and trusted data assets.
- Support cloud-based data platforms and data warehouse or lakehouse environments.
- Implement data governance, security, lineage, and compliance standards.
- Monitor and optimize pipeline performance, reliability, scalability, and cost efficiency.
- Collaborate with analysts, data scientists, product teams, technology teams, and business stakeholders.
- Troubleshoot production issues, conduct root-cause analysis, and implement sustainable solutions.
- Create technical documentation, design specifications, and operational procedures.
- Participate in code reviews and promote development, testing, deployment, automation, and continuous improvement practices.
- Provide technical guidance to team members and work independently on moderately complex data engineering challenges.
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, stakeholder collaboration, independent-working, and prioritization skills.
- Cloud platform certification in Azure, AWS, or GCP is preferred.
- Experience with Databricks, Spark/PySpark, Snowflake, BigQuery, or similar cloud data technologies is preferred.
- Experience supporting analytics, business intelligence, or AI/ML workloads is preferred.
- Experience in healthcare, financial services, or other highly regulated industries is preferred.
- Familiarity with Airflow, Azure Data Factory, or Cloud Composer is preferred.
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.