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Weekday AI (YC W21)
Azure Data Architect
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Summary
This role is for one of the Weekday's clients
Salary range: Rs 1500000 - Rs 4000000 (ie INR 15-40 LPA)
Min Experience: 8 years
Location: Bengaluru, Pune, Chennai, Kolkata, Gurgaon
JobType: full-time
Requirements
Primary Roles and Responsibilities
Salary range: Rs 1500000 - Rs 4000000 (ie INR 15-40 LPA)
Min Experience: 8 years
Location: Bengaluru, Pune, Chennai, Kolkata, Gurgaon
JobType: full-time
Requirements
Primary Roles and Responsibilities
- Design and implement modern data warehouse solutions leveraging Databricks along with Azure and/or AWS cloud ecosystems.
- Deliver innovative and scalable data engineering and analytics solutions.
- Collaborate with Data Warehouse and BI teams to gather and translate ETL pipeline requirements.
- Troubleshoot existing data pipelines by identifying root causes and implementing fixes.
- Work closely with business stakeholders to understand reporting needs and design appropriate data models.
- Mentor junior team members and support them in resolving technical challenges.
- Lead technical discussions with client architects and internal teams to ensure alignment on solution design.
- Manage and orchestrate data pipelines using tools like Apache Airflow.
- Bachelor's or Master's degree in Computer Science or a related field.
- Minimum 6 years of overall IT experience, with at least 3 years in data warehouse/ETL development.
- Strong understanding of dimensional data modeling, including Star and Snowflake schemas.
- Deep knowledge of data management best practices and governance.
- Hands-on expertise with Databricks Data & AI platform and Delta Lake architecture.
- Proficient in SQL, Python, and Spark (especially PySpark).
- Practical experience with Azure or AWS cloud stack, including services for data processing and orchestration.
- Familiarity with batch and real-time data processing using tools such as AWS Kinesis.
- Experience in developing data transformation and ETL pipelines.
- Exposure to streaming technologies such as Apache Kafka.
- Working knowledge of big data tools such as Hadoop, Hive, Pig, and Impala.
- Experience with NoSQL databases such as MongoDB, Cassandra, or Neo4J.
- Comfortable working with structured and unstructured data, including imaging and geospatial formats.
- Experience with DevOps tools like Terraform, CircleCI, and Git for CI/CD implementation.
- Proficient in writing complex SQL queries, PL/SQL, Unix shell scripting, and performance tuning.
- Databricks certification (Associate or Professional Data Engineer) is a plus.
- Agile methodology experience is preferred.
- Excellent verbal and written communication skills.
- Strong analytical thinking and problem-solving skills with a high attention to detail.
- Python
- PySpark
- Spark
- Azure or AWS Databricks
- Azure Data Factory
- Azure Data Lake
- Medallion architecture
- Workflow orchestration (e.g., Airflow)