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Syren Cloud Inc
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Databricks Data Engineer (Adani)

Databricks Data Engineer (Adani)

Syren Cloud Inc

3 - 6 years

6 - 7 Lacs

hyderabad

Posted:1 month ago| Platform:

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Skills Required

metadata orchestration data security scala data governance data quality operations sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title: Databricks Data Engineer

Experience Level: 3 to 6 Years

Location: Ahmedabad

Employment Type: Full-Time

Certifications Required:

Databricks Certified Data Engineer Associate
Databricks Certified Data Engineer Professional
Cloud Certifications (Preferred): Azure, AWS, GCP

Job Summary:

We are seeking a highly skilled and certified Databricks Data Engineer to join our dynamic data engineering team. The ideal candidate will have hands-on experience in implementing Lakehouse architectures, upgrading to Unity Catalog, and building robust data ingestion pipelines. This role demands proficiency in Python, PySpark, SQL, and Scala, along with a strong understanding of big data technologies, streaming workflows, and multi-cloud environments.

Key Responsibilities:

Lakehouse Implementation:

Design and implement scalable Lakehouse architecture using Databricks.
Optimize data storage and retrieval strategies for performance and cost-efficiency.

Unity Catalog Upgrade:

Lead and execute Unity Catalog upgrades across Databricks workspaces.
Ensure secure and compliant data governance and access control.

Data Ingestion & Migration:

Develop and maintain data ingestion pipelines from various sources (structured, semi-structured, unstructured).
Perform large-scale data migrations across cloud platforms and environments.

Pipeline Development:

Build and manage ETL/ELT pipelines using PySpark and SQL.
Ensure data quality, reliability, and performance across workflows.

Big Data Streaming & Workflows:

Implement real-time data streaming solutions using Spark Structured Streaming or similar technologies.
Design workflow orchestration using tools like Airflow, Databricks Workflows, or equivalent.

Multi-Cloud Expertise (Preferred):

Work across Azure, AWS, and GCP environments.
Understand cloud-native services and integration patterns for data engineering.

Collaboration & Documentation:

Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
Document technical designs, data flows, and operational procedures.

Required Skills & Qualifications:

3 6 years of hands-on experience in data engineering roles.
Strong expertise in Databricks platform and ecosystem.
Proficiency in Python, PySpark, SQL, and Scala.
Experience with Lakehouse architecture and Unity Catalog.
Proven track record in building scalable data ingestion pipelines and performing data migrations.
Familiarity with big data technologies such as Delta Lake, Apache Spark, Kafka, etc.
Understanding of data lake concepts and best practices.
Experience with streaming data and workflow orchestration.
Certified as Databricks Data Engineer Associate and Professional (mandatory).
Cloud certifications in Azure, AWS, or GCP are a strong plus.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.

Nice to Have:

Experience with CI/CD pipelines and DevOps practices in data engineering.
Exposure to data cataloging tools and metadata management.
Knowledge of data security, privacy, and compliance standards.

Why Join Us

Work on cutting-edge data engineering projects in a fast-paced environment.
Collaborate with a team of passionate professionals.
Opportunity to grow and expand your skills across multiple cloud platforms.
Competitive compensation and benefits.

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Databricks Data Engineer (Adani)