Databricks Technical Lead

3 days ago

Kolkata, West Bengal, India Stanra Tech Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title : Databricks Tech Lead (Contract)

Contract Duration : 4 Months (Extendable based on Performance)

Job Location : Remote

Job Timings : India Evening Shift (till 11 : 30 PM IST)

Experience Required : 7+ Years

Job Description :

We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment.

Key Responsibilities :

  • Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services.

  • Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP).

  • Build and manage data warehouse solutions, schema evolution, and data versioning.

  • Implement and manage workflow orchestration using Airflow or similar tools.

  • Work with complex business use cases and transform them into scalable data models and architectures.

  • Collaborate with cross-functional teams to deliver high-quality data engineering and analytics solutions.

  • Mentor team members and provide technical leadership on Databricks and modern data technologies.

Required Skills & Experience :

  • 7+ years of experience in Data Warehouse, ETL, Data Modeling & Reporting.

  • 5+ years of experience in productionizing & deploying Big Data platforms.

  • 3+ years of hands-on Databricks experience.

  • Strong expertise with :

a. SQL, Python, Spark, Airflow

b. AWS S3, Redshift, Hive Data Catalog, Delta Lake, Parquet, Avro

  • Streaming platforms (Spark Streaming, Kafka, Hive)

  • Proven experience in building Enterprise Data Warehouses and implementing frameworks such as Databricks, Apache Spark, Delta Lake, Tableau, Hive Metastore, Kafka, Kubernetes, Docker, and CI/CD pipelines.

  • Hands-on experience with Machine Learning frameworks (TensorFlow, Keras, PyTorch) and MLOps practices.

  • Strong leadership, problem-solving, and communication skills.

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