Senior Tech Lead
3 days ago
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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