Role & responsibilities

What Youll Do

As a Senior Data Engineer you will:

- Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
- Serve in a lead capacity on client initiatives
- Ensure optimal data delivery architecture is consistent throughout ongoing projects
- Be self-directed and comfortable supporting the data needs of multiple teams, systems and products
- Be excited by the prospect of building our companys data engineering capabilities to support our next generation of products and data initiativesfor our clients
- Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
- Assist in defining client solutions and support managing their delivery

What We’re Looking For

- Strong experience in building modern data platforms that leverage Azure Data Lake, Azure Data Factory and Azure Databricks and/or Microsoft Fabric
- Should be proficient in PySpark, Python and SQL
- Highly prefer skills in designing, developing, and implementing data engineering solutions using Databricks on cloud platforms, and/ or skilled in working across Microsoft Fabric (OneLake, Lakehouse, Warehouse)
- Strong experience designing data models that meets business needs that meets design guidelines and standards is a must
- Assembling large, complex data sets that meet functional / non-functional business requirements
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery,



re-designing infrastructure for greater scalability, etc
- Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies
- Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Working with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- 3+ years of experience in a Data Engineer role
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Experience supporting and working with cross-functional teams in a dynamic setting
- Demonstrated ability with big data tools including Databricks, Spark, Snowflake, Airflow, and Kafka
- Expertise with Azure or AWS cloud services
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field

📌 Senior Data Engineer (Pune)
🏢 systems plus
📍 Pune