Snowflake Developer

This role is for one of the Weekday's clients

Salary range: Rs 700000 - Rs 2500000 (ie INR 7-25 LPA)

Min Experience: 6 years

Location: Bengaluru, Pune, Chennai, Kolkata, Gurgaon

JobType : full-time

Requirements

Primary Roles and Responsibilities

• Design and implement modern data warehouse solutions utilizing Snowflake, Databricks, and Azure Data Factory (ADF).
• Deliver scalable, future-proof data engineering and analytics solutions.
• Collaborate with data warehouse and business intelligence leads to gather and understand ETL pipeline development requirements.
• Troubleshoot and resolve issues in existing data pipelines by identifying gaps and implementing fixes.
• Translate business reporting needs into effective data models and solutions.
• Mentor and support junior team members by helping them overcome technical challenges.
• Engage in technical discussions with client architects and internal teams.
• Manage and schedule data pipelines using orchestration tools like Airflow.

Skills and Qualifications

• Bachelor's or Master’s degree in Computer Science or a related field.
• Minimum of 6 years of experience in IT, with at least 3 years focused on data warehouse and ETL projects.
• In-depth knowledge of Snowflake including security, SQL, and object design/implementation.
• Hands-on experience with Snowflake tools such as SnowSQL, Snowpipe, Snowsight, and various connectors.
• Strong understanding of dimensional data modeling techniques (Star and Snowflake schema).
• Solid foundation in data management principles.
• Experience with Databricks platform and Delta Lake architecture.
• Proficient in SQL and Spark, specifically PySpark.
• Skilled in building ETL processes and data transformation workflows.
• Familiarity with NoSQL databases such as MongoDB, Cassandra, or Neo4J.
• Capable of handling structured, unstructured, imaging, and geospatial data.
• Experience working in DevOps environments using tools like Terraform, CircleCI, and Git.
• Strong expertise in RDBMS, advanced SQL/PLSQL, Unix shell scripting, query optimization, and performance tuning.
• Databricks Certified Data Engineer Associate/Professional certification is a plus.
• Agile methodology experience is preferred.
• Excellent verbal and written communication skills.
• Strong problem-solving abilities and attention to detail.

Mandatory Skills

• Snowflake
• Azure Data Factory (ADF)
• PySpark
• Databricks