Experience : 5+ Years.Job Responsibilities :- Responsible for designing, storing, processing, and maintaining of large scale data and related infrastructure.- Can drive multiple projects both from operational and technical standpoint.- Ideate and build PoV or PoC for new product that can help drive more business.- Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.- Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.- Lead architecture discussions, align with business needs, security, and best practices.- Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing.- Has robust execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.- Understanding of Medallion architecture pattern.- Has worked on at least one cloud platform.- Has worked as data architect and executed multiple end-end data engineering project.- Has extensive knowledge of different data architecture designs and data modelling concepts.- Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.Required Tech Stack :- Strong proficiency in SQL.- Experience working on any of the three major cloud platforms i.e., AWS/Azure/GCP.- Working knowledge of an ETL and/or orchestration tools like IICS, Talend, Matillion, Airflow, Azure Datan Factory, AWS Glue, GCP Composer, etc.- Working knowledge of one or more OLTP databases (Postgres, MySQL, SQL Server, etc.).- Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Azure Synapse, Hive, Big Query, etc.- Proficient in at least one programming language used in data engineering, such as Python (or Scala/Rust/Java).- Has strong execution knowledge of Data Modeling (star schema, snowflake schema, fact vs dimension tables).- Proficient in Spark and related applications like Databricks, GCP DataProc, AWS Glue, EMR, etc.- Has worked on Kafka and real-time streaming.- Has strong execution knowledge of data architecture design patterns (lambda vs kappa architecture, data harmonization, customer data platforms, etc.).- Has worked on code and SQL query optimization.- Strong knowledge of version control systems like Git to manage source code repositories and designing CI/CD pipelines for continuous delivery.- Has worked on data and networking security (RBAC, secret management, key vaults, vnets, subnets, certificates). (ref:hirist.tech)

📌 Senior Data Engineer - Data Architecture (Hyderabad)
🏢 VAYUZ Technologies
📍 Hyderabad