Senior Associate | Data Engineering | Pune | Engineering as a Service/ Operate
Deloitte Advisory2 months ago
Pune, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, integration, ETL, and ELT pipelines.
- Process structured and unstructured data from multiple sources and develop reliable data solutions for enterprise needs.
- Build and maintain data models, data quality frameworks, validation processes, and trusted data assets.
- Support cloud-based data platforms and data warehouse/lakehouse environments while optimizing performance, reliability, scalability, and cost.
- Implement data governance, security, lineage, and compliance standards across data assets.
- Collaborate with analysts, data scientists, product teams, business stakeholders, and technology teams to translate requirements into technical solutions.
- Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions.
- Contribute to automation, CI/CD processes, code reviews, documentation, and continuous improvement initiatives.
- Provide technical guidance on data engineering best practices and work independently on moderately complex 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, and independent-work skills.
- Preferred qualifications include cloud certifications, experience with Databricks, Spark/PySpark, Snowflake, BigQuery, or similar technologies, and familiarity with Airflow, Azure Data Factory, or Cloud Composer.
- Experience supporting analytics, business intelligence, or AI/ML workloads and working in highly regulated industries is preferred.
Benefits
- Employment is subject to company policies, employment-contract terms, work-location or team reassignment directives, work-shift changes, flexibility policies, and alternative work arrangements as determined by the company.
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.