Senior Associate | Data Engineering | Bengaluru | Engineering as a Service/ Operate
Deloitte Advisory1 month ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, integration, and ETL/ELT pipelines.
- Build and optimize data platforms, models, quality frameworks, validation processes, and trusted data assets.
- Translate business and customer requirements into technical data solutions and resolve moderately complex engineering challenges.
- 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 data analysts, data scientists, product teams, and business stakeholders.
- Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions.
- Participate in code reviews and contribute to automation, CI/CD processes, documentation, and continuous improvement initiatives.
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.
- 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
- Employment terms include potential transfer or reassignment to different work locations, teams, or shifts, as well as alternative work arrangements and changes to work policies or benefits at the company’s discretion.
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.