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Snowflake Developer

2 weeks ago

Hyderabad, Telangana, India Zensar Full time US$ 1,50,000 - US$ 2,00,000 per year

Role & responsibilities

  • Data Pipeline Development & Maintenance: Design, build, and maintain end-to-end data pipelines for ingesting, processing, and transforming large datasets from various sources (e.g., relational databases, APIs, flat files, streaming data).
  • ETL/ELT Process Optimization: Develop and optimize ETL/ELT processes using industry-standard tools and techniques, ensuring data accuracy, efficiency, and scalability.
  • Database Design & Management: Design, implement, and manage relational databases, including schema design, indexing, performance tuning, and data governance.
  • Data Warehousing: Design and implement data warehousing solutions to support business intelligence and reporting needs. Experience with star schema, snowflake schema, and other data modelling techniques is essential.
  • Database Administration: Perform database administration tasks, including performance monitoring, capacity planning, backup and recovery, and security management.
  • Data Quality & Governance: Implement data quality checks, validation rules, and data governance policies to ensure data accuracy and consistency.
  • Cloud Platform Expertise: Leverage cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and management.
  • Collaboration & Communication: Collaborate with cross-functional teams (e.g., data scientists, business analysts, software engineers) to understand data requirements and deliver effective data solutions. Clearly communicate technical concepts to both technical and non-technical audiences.
  • Mentoring & Knowledge Sharing: Mentor junior engineers and share knowledge and best practices within the team.
  • Automation & Scripting: Automate data engineering tasks using scripting languages (e.g., Python, Bash).
  • Stay Up to Date: Continuously research and evaluate new data technologies and techniques to improve our data infrastructure.
  • Production Support: Monitoring the batch/jobs daily, no matter its weekdays or weekend.
  • Production Release: Actively participation in release process.

Qualifications:

  • Experience: Minimum of 10 years of experience as a Data Engineer or in a similar role.

  • Database Expertise:

  • Expert proficiency in SQL Server: Extensive experience with SQL Server, including database design, performance tuning, query optimization, and database administration.

  • Expert proficiency in PostgreSQL: Deep understanding of PostgreSQL, including database design, performance tuning, query optimization, and database administration.

  • Solid experience with other relational databases like MySQL, Oracle, etc. is a plus.

  • ETL/ELT Tools: Proven experience with ETL/ELT tools (e.g., Apache Airflow, Informatica, Talend, SSIS, ADF etc.).

  • Data Modelling: Strong understanding of data modelling principles and techniques (e.g., dimensional modelling, star schema, snowflake schema).
  • Cloud Computing: Experience with cloud platforms (AWS, Azure, or GCP) and related data services (e.g., S3, Redshift, Snowflake, Azure Data Lake Storage).
  • Programming & Scripting: Proficiency in scripting languages such as Python, Bash, or similar.
  • Data Governance & Quality: Experience implementing data quality checks, data governance policies, and data validation rules.
  • Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills with the ability to identify and resolve complex data-related issues.
  • Communication & Collaboration: Excellent communication, collaboration, and interpersonal skills. Ability to work effectively in a team environment.
  • Education: Bachelor's or master's degree in computer science, Information Technology, or a related field.