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Greetings from Themesoft!
We are looking for a highly skilled Senior Data Engineer with strong experience in building scalable, high-performance data pipelines and modern data architectures.
Position: Senior Data Engineer
Experience: 10–12 Years (Less than 10 years will not be approved by client)
Position Type: Contract
Location: PAN India, Work Mode: Hybrid
Must-Have Skills: Python, Databricks, DBT (Data Build Tool), SQL, DAB, Apache Spark, Delta Tables / Delta Lake, Collibra DQ / Collibra, Jenkins, Experience with Autoloader, SAP integration, Power BI
Required Skills & Job Description:
• Build and maintain robust, scalable data pipelines using Python, Databricks, Spark, DBT, and Delta Lake to deliver analytics-ready datasets.
• Design and implement efficient data models (star, snowflake, dimensional) using normalized or denormalized structures based on performance and business needs.
• Write performant SQL, develop Databricks notebooks, manage version control, orchestration, and ensure data quality and lineage across pipelines.
• Use GitHub Actions / Jenkins to automate testing, validation, and deployments in CI/CD pipelines.
• Implement best practices in data modeling, performance tuning, scalable architecture, and coding standards.
• (Nice to have) Work with Autoloader, SAP data ingestion workflows, Collibra cataloging, and Power BI consumption layers.
If interested, share updated resume to [Confidential Information]
#SeniorDataEngineer #DataEngineering #Databricks #DBT #Python #Spark #DeltaLake #DataPipelines #SQL #BigData #DataJobs #Hiring #TechJobs #AnalyticsEngineering #Jenkins #Collibra #PowerBI
Job ID: 150853727
Skills:
Tfs, Hadoop, Data Modeling, Power Bi, Visual Studio, Kafka, Sql, ELT, Git, Data Mart, Hive, Qlik, Spark, Python, Etl, Relational Databases, Dataiku, Warehousing, Celonis
Skills:
snowflake , Pyspark, Kafka, Sql, Git, Azure Data Factory, Spark, Azure Data Lake, Databricks, Cloud Data Engineering, DataOps practices, Azure Data Engineering, Data Governance and Data Quality, Distributed Data Processing
Skills:
Github, Sql, Azure Synapse, Apache Spark, Scala
Skills:
Github, Sql Programming, Python, Databricks Asset Bundles, Spark-based big data processing and orchestration on Databricks, Lakeflow, Databricks for data engineering analytics and machine learning workflows, NoSQL and relational systems, ETL pipelines
Skills:
Azure Synapse, Adf, Pyspark, Data Lake, Data Warehouse, Data Modeling, Python, Sql, Lakehouse, Microsoft Fabric, Azure Data Services
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