
Data Engineer
1 day ago
Data Engineer
Number of Positions
: 2
Experience
: 5+ Years
Location
: Noida / Hyderabad
Start Date
: Immediate
Role Type
: Individual Contributor
Shift:
General Shift
Position Overview
We are seeking a highly skilled Data Engineer with proven experience in designing and implementing scalable data platforms using
Databricks.
The ideal candidate will bring deep expertise in building modern data architecture, integrating multiple data sources, and enabling analytics and machine learning workflows. This role requires strong technical proficiency, problem-solving ability, and collaboration across cross-functional data and product teams
Key Responsibilities
•Design, develop, and
maintain robust data pipelines
and architectures on Databricks.
•Build efficient
ETL/ELT processes
to ingest data from
SQL Server, MongoDB, and InfluxDB into Databricks Delta Lake.
•Implement real-time and batch data ingestion strategies using tools such as
Kafka, Azure Event Hubs,
or equivalent.
•Optimize data storage
, query performance, and computing efficiency for scalability and cost-effectiveness.
•Develop data models that enable
BI reporting, advanced analytics
, and
machine learning
use cases.
•Collaborate with Data Scientists, Analysts, and Product Teams to define data requirements and ensure availability of high-quality datasets.
•Implement
data governance, lineage, and security best practices
across the platform.
•Monitor, troubleshoot, and enhance data workflows for performance and reliability.
Required Skills &
Qualifications
•Proven hands-on experience in
Databricks, including Delta Lake, Spark, PySpark, and SQL.
•Strong expertise in data integration from multiple sources — SQL Server, MongoDB, InfluxDB, and others.
•Experience in
ETL/ELT pipeline design and orchestration using Airflow, Azure Data Factory,
or similar tools.
•Solid understanding of
data modeling, data warehousing
concepts, and query optimization techniques.
•Experience in real-time data streaming using
Kafka, Azure Event Hubs,
or equivalent technologies.
•Strong programming skills in
Python
and
SQL for data processing and automation.
•Proficiency in
Azure Cloud Services,
especially for data engineering and storage.
•Familiarity with
Change Data Capture (CDC)
methodologies.
•Strong analytical mindset, attention to detail, and ability to work in fast-paced, agile environments.
Preferred Qualifications
•Experience handling
time-series data or using InfluxDB for data ingestion and analysis.
•Exposure to machine learning pipelines or
ML model deployment within Databricks.
•Knowledge of
data governance
frameworks such as
Unity Catalog, Azure Purview, or equivalent.
•Understanding of
CI/CD pipelines for data workflows and infrastructure automation.
What We Offer
•Opportunity to work on cutting-edge data engineering projects using modern cloud and analytics technologies.
•A collaborative environment with data-driven innovation at its core.
•Continuous learning opportunities in cloud, AI, and advanced analytics domains.
•Competitive compensation and growth opportunities.
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