Senior Snowflake Data Engineer Early Joiners Preferred
Location: Hyderabad / Ahmedabad (Hybrid)
Experience: 5+ Years
Openings: 10
Company:Anblicks Inc. Great Place to Work Certified | Snowflake Elite Partner (3 Years in a Row)
Preferred: Early Joiners / Immediate Joiners (within 1530 days)
About Anblicks
Anblicks is a Great Place to Work Certified cloud data engineering company and a Snowflake Elite Partner for three consecutive years, recognized for consistent delivery excellence and deep expertise in modern data platforms.
We help global enterprises modernize, migrate, and monetize their data by delivering next-generation Data Analytics, Cloud, and Digital Transformation solutions that drive measurable business outcomes.
Role Overview
We are looking for a Senior Snowflake Data Engineer with strong hands-on experience in Snowflake and the modern data stack to design, build, and optimize scalable data platforms. This role is ideal for someone who enjoys end-to-end ownership, works closely with clients and stakeholders, and thrives in a fast-paced consulting environment.
Key Responsibilities
- Design, develop, and optimize end-to-end data pipelines using Snowflake, dbt, and Apache Airflow
- Implement and manage ELT/ETL workflows for structured and semi-structured data
- Develop and maintain enterprise-grade data models (Dimensional, Kimball, Data Vault)
- Perform Snowflake performance tuning and cost optimization, including warehouse sizing, query optimization, clustering, and caching
- Build scalable data processing frameworks using Apache Spark (PySpark / Spark SQL)
- Integrate data from multiple sources including databases, APIs, SaaS platforms, files, cloud storage, and streaming systems
- Implement data quality checks, validations, observability, and monitoring frameworks
- Establish and maintain CI/CD pipelines for data workflows using Git and automation tools
- Collaborate with clients, data analysts, and data scientists to deliver trusted, analytics-ready datasets
- Ensure compliance with data governance, security, and privacy standards
- Mentor junior engineers and contribute to Anblicks accelerators and best practices
- Participate in solution design reviews, architecture discussions, and client interactions
Required Skills & Experience
- 5+ years of hands-on experience in Data Engineering
- Strong production experience with Snowflake, including:
- Data warehouse architecture
- Performance tuning and cost optimization
- Security and access controls
- Proven expertise in dbt (data modeling, testing, documentation, modular SQL)
- Hands-on experience with Apache Airflow (DAG design, scheduling, orchestration)
- Advanced proficiency in SQL and Python
- Experience with Apache Spark (PySpark preferred)
- Strong understanding of ETL/ELT patterns and data modeling methodologies (Kimball, Data Vault)
- Experience with Git, CI/CD pipelines, and version control best practices
- Working knowledge of cloud platforms (AWS, Azure, or GCP)
- Strong problem-solving and communication skills for client-facing delivery
Nice to Have
- Snowflake SnowPro Certification (Core / Advanced)
- Experience with real-time or near-real-time pipelines (Kafka, Kinesis, Pub/Sub)
- Exposure to data observability and quality tools (Great Expectations, Monte Carlo, Soda)
- Familiarity with BI tools such as Power BI, Looker, or Tableau
- Experience in consulting or multi-client delivery environments
