Senior Tech Lead

3 days ago

Pune India Antal International Network Full time

Job Description Job Description Job Title: Senior Tech Lead- Azure Databricks or Microsoft Fabric Role Overview: The Senior Tech Lead - Databricks leads the design, development, and implementation of advanced data solutions. The jobholder has extensive experience in Databricks, cloud platforms, and data engineering, with a proven ability to lead teams and deliver complex projects. Responsibilities: . Lead the design and implementation of Databricks-based data solutions. . Architect and optimize data pipelines for batch and streaming data. . Provide technical leadership and mentorship to a team of data engineers. . Collaborate with stakeholders to define project requirements and deliverables. . Ensure best practices in data security, governance, and compliance. . Troubleshoot and resolve complex technical issues in Databricks environments. . Stay updated on the latest Databricks features and industry trends. Key Technical Skills & Responsibilities . 10+ years of experience in data engineering using Databricks or Apache Spark-based platforms. . Proven track record of building and optimizing ETL/ELT pipelines for batch and streaming data ingestion. . Hands-on experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, or Azure SQL Data Warehouse. . Proficiency in programming languages such as Python, Scala, SQL for data processing and transformation. . Expertise in Spark (PySpark, Spark SQL, or Scala) and Databricks notebooks for largescale data processing. . Familiarity with Delta Lake, Delta Live Tables, and medallion architecture for data lakehouse implementations. . Experience with orchestration tools like Azure Data Factory or Databricks Jobs for scheduling and automation. . Design and implement the Azure key vault and scoped credentials. . Knowledge of Git for source control and CI/CD integration for Databricks workflows, cost optimization, performance tuning. . Familiarity with Unity Catalog, RBAC, or enterprise-level Databricks setups. . Ability to create reusable components, templates, and documentation to standardize data engineering workflows is a plus. . Ability to define best practices, support multiple projects, and sometimes mentor junior engineers is a plus. . Must have experience of working with streaming data sources and Kafka (preferred) Eligibility Criteria: . Bachelor's degree in computer science, Data Engineering, or a related field . Extensive experience with Databricks, Delta Lake, PySpark, and SQL . Databricks certification (e.g., Certified Data Engineer Professional) . Experience with machine learning and AI integration in Databricks . Strong understanding of cloud platforms (AWS, Azure, or GCP) . Proven leadership experience in managing technical teams . Excellent problem-solving and communication skills Total Exp: 10-18 yrs Location: Mumbai, Pune, Bangalore Primary Skills: Azure databricks, Microsoft fabric, Python/Pyspark Secondary Skills: COE exp/practice exp, RFP, presales Notice period: Immediate to 60 days Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

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