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POSITION: Reltio MDM Developer
LOCATION: Chennai/Hyderabad/Bangalore- Hybrid.
DURATION: Full Time.
Notice Period: Immediate joiner/ Serving notice less than 45 days
Must have skills (Hand's on)
Azure Synapse Analytics- 3 years
Pyspark- 4+ years
Python- 1+ years
Fabric- 6+ months
This is a migration project from Azure Synapse Analytics to Fabric
Experience: 8+ Years
Job Summary
We are seeking a highly skilled Senior Data Engineer to join the Data Cloud team supporting client. The ideal candidate should possess strong data engineering expertise with hands-on experience in Python, Azure Synapse Analytics, Microsoft Fabric, Databricks, and modern cloud-based data platforms.
The candidate should be capable of independently designing, developing, optimizing, and supporting scalable data solutions while working closely with business and technical stakeholders.
Key Responsibilities
Required Skills
Preferred Experience
Key Expectations
Job ID: 153639913
Skills:
Power Bi, AWS Glue, Apache Spark, Tableau, Sql, Azure Data Factory, Docker, Azure, Kubernetes, Python, DevOps methodologies, Data governance frameworks, Matillion, Looker, Synapse, dbt, Data quality tools
Skills:
BigQuery, Data Modeling, Ci, Kafka, Sql, ELT, Apache Airflow, Git, Gcp, Docker, Kubernetes, Python, Etl, cd, Google Cloud Composer
Skills:
Data Integration, Scala, Apache Spark, Databricks, Data Modelling, Data Architecture, Python, Sql, ELT, Etl
Skills:
BigQuery, DataFlow, Advanced Sql, Python, Logging, Dataform, Batch and streaming data processing, Data Catalog, Cloud Monitoring, Data lakehouse architecture concepts, Pub Sub, Dataplex, IAM Security controls, Java or Scala, Data ingestion frameworks, Analytics Hub, Data modeling and warehousing principles, CDC and incremental processing
Skills:
snowflake , Pyspark, Data Governance, ELT, Star Schema, Performance Monitoring, Python, AWS, Data Profiling, Unit Testing, Automation, Sql, Metadata Management, Git, Spark, Databricks, Etl, Snowflake schema, Optimization, Denormalization, Containerized workloads, HPC environments, Lineage monitoring, Normalization, Palantir Foundry, Large Language Models, AI-assisted data engineering, Automated data quality assessments