Senior Data Engineer - Data Architecture

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 strong 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).