Data Engineer

Our client is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. Data Engineer is a role focusing on responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, machine learning, and business intelligence initiatives. This role is ideal for someone who thrives in a fast-paced environment and is passionate about transforming raw data into actionable insights.

Location:

Chennai.
Position Type:
Permanent
Mode of Interview:
Virtual+F2F.

Experience:

8 - 16yrs
Notice Period - 60days
Skills
- Azure data platforms (e.g., Databricks, Azure Synapse), data modeling, warehousing concepts, real-time data processing (e.g. Azure Event Hub, Kafka), data management tools (e.g. MS Purview, Collibra), Python, SQL.

Some of the key responsibilities will include:
Work on Azure data platform to deliver scalable data solutions.
Design, develop, and maintain robust data pipelines using modern data engineering tools and frameworks.
Collaborate with the team to develop scalable frameworks that streamline data loading processes and support business operations.
Collaborate with business stakeholders to build and optimize data architecture (e.g. data marts, data lakes, data warehouses).
Support the ingestion and preparation of diverse data types — structured and unstructured, batch and real-time — into the Azure Data Lake, ensuring they are cleaned and aggregated to meet business requirements.
Collaborate with data scientists, analysts, and software engineers to deliver high-quality data solutions.
Ensure data quality, integrity, and security across all data platforms.
Ensure reliable and timely data delivery by orchestrating scheduled workflows.
Monitor and troubleshoot data workflows and infrastructure performance.
Implement best practices for data governance, versioning, and documentation.
Ensure visibility and traceability of enterprise data assets by managing data catalogs and lineage through Microsoft Purview / Collibra.

To be eligible for this role you will require:
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
8+ years of experience in data engineering or a similar role.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.

Experience with Azure data platforms (e.g., Databricks, Azure Synapse).
Familiarity with data modelling, warehousing concepts, and distributed systems.

Experience with real-time data processing (e.g. Azure Event Hub, Kafka).
Knowledge of data management tools (e.g. MS Purview, Collibra).
Proficiency in Python, SQL, and data pipeline frameworks.

Please contact Radhika or email your cv directly in word format with job reference number: JOB 15960 to R

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.