Senior Data Architect

3 days ago


Delhi, Delhi, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Data Engineer for Scalable Data Pipelines

">Job Description">

As a key member of our data engineering team, you will be responsible for designing and building data pipeline architecture that can handle large volumes of data. You will develop ELT/ETL pipelines to extract, load, and transform data from various sources into our data warehouse.

">

You will optimize and maintain the data infrastructure to ensure high availability and performance. Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models. Develop and maintain data models to support business needs, ensuring data security and compliance with data governance policies.

">

Additionally, you will identify and troubleshoot data quality issues, automate and streamline processes related to data management. Stay up-to-date with emerging data technologies and trends to ensure continuous improvement of our data infrastructure and architecture. Analyze data products and requirements to align with data strategy. Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams.

">Requirements:">
  • ">
  • 8+ years of experience as a data engineer or related role">
  • Experience with cloud-based data platforms like Snowflake">
  • Strong experience building, maintaining, and documenting data pipelines using Snowflake concepts like RBAC management, virtual warehouses, file formats, streams, zero-copy clones, time travel, and more">
  • Expertise in SQL development including SQL queries and stored procedures">
  • Strong knowledge of ELT/ETL no-code/low-code tools like Informatica/SnapLogic">
  • Well-versed in data standardization, cleansing, enrichment, and modeling">
  • Proficiency in one or more programming languages like Python, Java, or C#">
  • Experience with cloud computing platforms like AWS, Azure, or GCP">
  • Knowledge of ELT/ETL processes, data warehousing, and data modeling">
  • Familiarity with data security and governance best practices">
  • Excellent hands-on experience in problem-solving and analytical skills and improving process performance">
">

Diligent candidates should possess strong technical expertise and excellent communication skills, enabling them to effectively collaborate with cross-functional teams to deliver high-quality results.

"]},

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