1. GCP_Snowflake (1):

This position requires resource with 10+ yrs relevant experience, attached JD for your reference

Primary Responsibilities

• Bachelor’s degree in computer science, Data Science, or equivalent related work
• 5+ in designing and building data pipelines on cloud platforms, preferably GCP and Snowflake.
• Expertise in working with modern data warehousing solutions such as Snowflake, ie, Snowpipe Streaming, Warehouse Optimization, and clustering. Highly preferred, real-time data processing experience using Kafka.
• Python and Advanced SQL: Must be adept at scripting in Python, particularly for data manipulation and integration tasks, and have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization.
• Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques. A good understanding of the data structures that support email targeting.
• ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT pipelines to process large datasets using dbt.
• Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar tool.
• GitHub: Experience with version control, branching, and collaboration on GitHub.
• Data Visualization: Knowledge of tools like Superset, Looker or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)
• Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams.
• Data Privacy: Knowledge of data privacy laws including an understanding of GDPR, CCPA, and other regulations to ensure compliance in data privacy practices.

Work mode – Remote(WFH), though the candidates should be from Thane/Mumbai/Navi Mumbai

Work Location – Mumbai (Vikhroli)

Rounds of Interview – 3 rounds

Shift timings – 1:00 PM to 10:00 PM