Senior Consultant | AWS Glue, Athena, SQL, Python, PySpark | Bengaluru, Hyderabad | Engineering
Bengaluru, IN
Deloitte
Insights zu unseren Diensleistungen im Bereich Audit, Consulting, Financial Advisory, Risk Adivisory und Tax sowie unseren zahlreichen Industrien.Data Engineer
The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies.
Key Responsibilities –
· Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs.
· Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications.
· Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization.
· Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured.
· Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs.
· Data Governance: Participate in data governance initiatives by establishing data quality rules, data lineage, and data ownership guidelines. Monitor and enforce data governance policies.
· Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated.
· Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage.
· Data Security: Implement data security measures to protect sensitive and confidential data. Define access controls and data encryption strategies as needed.
· Data Analysis Support: Support data analysts and data scientists by providing well-structured data models that facilitate data analysis and reporting.
· Data Migration: Assist in data migration projects by ensuring that data models are consistent between source and target systems. Verify data integrity during migration.
· Professionals should possess a clear understanding of current data models
· Should be able to clearly articulate end-to-end data pipelines with analysis and accomplishment.
- Implementing data pipelines and ETL processes within AWS
· Must possess the ability to construct data pipelines utilizing Glue and allocate cloud resources.
· Should be capable of conducting data analysis, executing data quality checks, and rectifying data quality problems in collaboration with business stakeholders or Product Owners
· Required to adhere to leading practices to design pipelines in line with industry standards
· Will be collaborating with key stakeholders to address critical issues as they arise.
Qualifications
- 3-10 years of proficient experience with AWS ETLs, Glue, EMR, S3 & Athena
- Expert in languages e.g., Python, Pyspark
- Advanced knowledge of database management systems SQL
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills to work with cross-functional teams.
- Experience with version control practices and CICD Process (Git, Bamboo, etc.)
- Understanding of Financial Services Industry- IMRE (preferred)
Primary Skills:
· AWS Glue
· Athena
· SQL
· Python
· PySpark
Soft Skills:
· Strong leadership, communication, and problem-solving abilities.
· Ability to work collaboratively with cross-functional teams.
· Flexibility to meet critical deadlines as needed.
Preferred Qualifications:
· Bachelor’s degree in computer science, Information Systems, or a related field
· Certification in related technologies is desirable.
· Experience/Willingness working in Support Role
Job Locations:
Hyderabad, Bangalore
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS AWS Glue Computer Science Data analysis Data governance Data pipelines Data quality Engineering ETL Git Pipelines PySpark Python Security SQL
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