Senior Back End Developer
Position Type -Full Time
Remote No
‘Job Purpose
We are looking for a talented and experienced Senior Data Engineer / Backend SQL Developer to join our Data Aggregation team. In this role, you will be a core contributor to our SQL Server backend, wting complex stored procedures, views, and aggregation
logic that feeds downstream reporting and analytical workloads. Alongside traditional SQL Server development, you will extend these capabilites into the modem lakehouse using Python and Databricks, enabling scalable batch and near-teal-ime data processing
‘across large datasets. The ideal candidate brings deep expertise in SQL Server (T-SQL stored procedures, query tuning, indexing strategies) combined with hands-on experience in PySpark, Apache Iceberg, and Databricks Workflows — and is comfortable
‘rigging the gap between on-premise SQL environments and cloud-based data platforms.
Responsibilities,
‘+ Design and implement robust ETL/ELT pipelines using PySpark and Python on Databricks
“+ Build and manage Apache Iceberg table formats for efficient data storage, versioning, and time-travel queries on the data lakenouse
‘+ Develop and optimize complex SQL queries, stored procedures, and data models for analytical workloads
‘+ Automate infrastructure provisioning, deployment, and operational tasks using PowerShell scrips
‘+ Monitor and tune Databricks cluster performance, job scheduling, and cost optimization
+ Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable data products
‘+ Enforce data quaity, govemance, and lineage best practices across the platform
‘+ Participate in code reviews, technical design sessions, and Agile ceremonies
Knowledge and Experience, CUO pipelines, Windows/Azure environment management
Preferred Knowledge and Experience
6+ years of experience in data engineering or similar role
Experience working with cloud platforms (AWS / GCP)
Familiarity with version control (Git) and Cl/CD practices
‘Strong understanding of data warenouse and data lakenouse concepts
‘Apache Iceberg- Experience managing Iceberg table format — schema evolution, partitioning, compaction, time-travel
(Databricks- Hands-on with Databricks Workflows, Unity Catalog, Dettaceberg integration, cluster management
Python - Proficient in wrting clean, production-grade Python for data engineering tasks
PySpark - Strong experience with distributed data processing, DataFrame API, optimizations
‘SQL - Advanced SAL — window functions, CTES, query optimization, schema design
PowerShell - Scripting for automation
‘+ Experience with Azure Data Factory, dbt, or Airiow for orchestration
“+ Knowledge of SSIS and PowerBI/Tableau
Pay: Up to ₹2,500,000.00 per year
Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad District)
