Senior Data Engineer

PeopleStrong; India; On-site; INR 900,000 - 1,500,000; Full time

Job summary

PeopleStrong is seeking a seasoned Data Architect to design and govern complex data ecosystems, including warehousing, modeling, and real-time processing. You will guide clients and internal teams on tools, best practices, and security, ensuring scalable data solutions across platforms.

The role requires deep experience in data modeling, ETL, and cloud technologies, with a focus on delivering robust architectural patterns and governance across projects.

Qualifications

• Experience as data architect leading end-to-end data engineering projects.
• Proficiency with modern data architectures and governance.

Responsibilities

• Design, store, process and maintain large-scale data and infrastructure.
• Lead architecture discussions aligning with security and business needs.
• Guide clients and teams on data engineering best practices and tools.
• Translate requirements into technical solutions and manage stakeholder conversations.

Skills

SQL

Cloud platforms

ETL/Orchestration tools

OLTP databases

Data warehouses

Programming languages

Data modeling

Spark/Databricks

Kafka/Streaming

Data architecture patterns

Version control & CI/CD

Data security

Tools

Databricks

Airflow

Talend

Job description

Job Description

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 Data 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)