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Senior Data Solutions Engineer
KoantekHyderabad, Republic Of India, IN5 days ago
Job descriptionCollaborate with cross-functional teams to understand data, and deliver effective BI Implement data ingestion, transformation, and processing workflows using Spark Develop and maintain data models, ETL / ELT processes ensuring high performance, Build and maintain APIs and data services to support analytics, reporting, and Ensure data quality, integrity, and security across all stages of the data lifecycle. Monitor, troubleshoot, and optimize pipeline performance in a cloud-based environment. Integrate data from various sources, including APIs, relational and non-relational Ensure adherence to data governance, security, and compliance policies. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 3-6 years of hands-on experience in data engineering, with a strong focus on Strong programming skills in Python / PySpark and / or Scala, with a deep understanding Experience with Azure Databricks. Strong SQL skills for data manipulation, analysis, and performance tuning. Strong understanding of data structures and algorithms, with the ability to apply them to Strong understanding of data architecture, data modeling, ETL / ELT processes, and Experience building and maintaining ETL / ELT pipelines in production environments. Familiarity with Delta Lake, Unity Catalog, or similar technologies. Experience working with structured and unstructured data, including JSON, Parquet, Familiarity with CI / CD pipelines and tools like Azure DevOps, version control (Git), and Excellent problem-solving skills, attention to detail, and ability to work independently or Strong communication skills to interact with technical and non-technical stakeholders. Experience with Delta Lake and Databricks Workflows. Exposure to real-time data processing and streaming technologies (Kafka, Spark Exposure to data visualization tool Databricks Genie for data analysis and reporting. Knowledge of data governance, security, and compliance best practices.
We are seeking an experienced Databricks Full Stack Data Engineer with 3-6 years of industry
experience. The ideal candidate will have a proven track record of working on live projects.
He / she will play a key role in developing and maintaining scalable data solutions using
Databricks and related technologies.
Key Responsibilities :
- Develop, and deploy end-to-end data pipelines and solutions on Databricks,
integrating with various data sources and systems.
solutions.
(PySpark / Scala), SQL, and Databricks notebooks.
reliability, scalability and data quality.
application integration.
databases, IoT devices, and external data providers.
Required Skills and Experience :
Databricks and Apache Spark.
of Apache Spark.
optimize code and implement efficient solutions.
data warehousing concepts.
Avro, and time-series data.
DevOps practices for data engineering.
as part of a team.
Preferred Qualifications :
Streaming).
Must Have Skills : Spark, Migration Experience, ETL
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Senior Data Engineer • Hyderabad, Republic Of India, IN
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