Senior Data Engineer – Databricks

4 weeks ago

Hyderabad, Telangana, India Anblicks Full time
Job Title: Senior Data Engineer – Databricks

Location: Hyderabad / Ahmedabad

Experience: 6+ Years

About the Role

We are looking for a Senior Data Engineer with a strong foundation in data warehousing, cloud-native data engineering, and deep hands-on experience with Databricks. Exposure to Data Modelling is a strong plus. In this role, you will lead the design and development of modern data pipelines, drive enterprise data transformation initiatives, and contribute to a future-ready data architecture that blends best practices across Databricks, Azure, and Fabric.

This is a strategic role for a data expert who enjoys solving high-impact business problems through modern data platforms, scalable pipelines, and cloud-native tools.

Key Responsibilities

Data Engineering & Architecture

- Design and implement scalable, high-performance data pipelines on Databricks using PySpark, SQL, and Delta Lake.
- Develop and optimize data lakehouse architectures, ensuring robust data ingestion, transformation, and storage.
- Build and manage ETL/ELT workflows integrating structured and semi-structured data from diverse sources.
- Apply best practices in data modeling, partitioning, and performance tuning.

Cloud & Platform Integration

- Leverage Databricks on Azure for large-scale distributed processing, including job orchestration and notebook management.
- Collaborate with platform teams to enable secure, scalable, and governed data environments across cloud ecosystems.

Solutioning & Collaboration

- Partner with business analysts, architects, and client stakeholders to translate business needs into scalable data solutions.
- Ensure data quality, lineage, and observability through tools like Unity Catalog, Great Expectations, or Azure Purview.
- Guide and mentor junior engineers, enforce code and design standards, and drive adoption of reusability and best practices.
- Document technical designs, data flow diagrams, and data governance procedures.

Required Skills & Experience

- 6+ years of experience in Data Engineering, with focus on data warehousing, distributed processing, and cloud platforms.
- 3+ years of hands-on experience in Databricks: PySpark, Delta Lake, MLflow (optional).
- Proficient in SQL, data modeling, and performance tuning for analytical workloads.
- Experience building scalable pipelines on Azure (ADF, Synapse, or Azure Functions).
- Understanding of data governance principles, RBAC, and metadata management.

Preferred / Bonus Skills

- Knowledge of Medallion architecture, CDC patterns, or event-driven data processing.
- Familiarity with Unity Catalog, Azure Purview, Databricks SQL, and data observability tools.
- Certification: Databricks Certified Data Engineer Associate/Professional, Microsoft Azure Data Engineer.

Why Join Us

- Be part of an innovation-driven team modernizing enterprise data ecosystems.
- Lead high-impact data initiatives with global customers across industries.
- Work with cutting-edge technologies like Databricks, Microsoft Fabric, and modern Azure stack.
- Accelerate your career in a cloud-native, AI-ready data engineering environment.

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