Senior Associate | Data Engineering | Across Locations | Engineering as a Service/ Operate
Deloitte Advisory1 month ago
Pune, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, integration, and ETL/ELT pipelines.
- Process structured and unstructured data from multiple sources and develop reliable data solutions for enterprise needs.
- Develop data models, data quality frameworks, validation processes, governance, security, lineage, and compliance standards.
- Support cloud-based data platforms, data warehouses, and lakehouse environments while optimizing performance, reliability, scalability, and cost.
- Collaborate with data analysts, data scientists, product teams, business stakeholders, and technology teams to deliver trusted data assets.
- Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions.
- Create technical documentation, design specifications, and operational procedures.
- Participate in code reviews and contribute to automation, CI/CD processes, testing, deployment, and continuous improvement.
- Provide technical guidance to team members and serve as a resource for data engineering best practices.
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-work, and prioritization skills.
- Preferred cloud 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.
Benefits
- The role is offered across locations and may involve transfers or reassignment to different work locations, teams, shifts, work environments, or alternative work arrangements based on company directives.
- Employment is subject to the company's policies, procedures, employment contract terms, and changing business conditions.
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.