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Experience: 6+ Years
Role: Data Engineer
Required Skills
Must Have
. Informatica PowerCenter
. SQL (Oracle/Teradata/SQL Server)
. Python
. Apache Spark
. Hive & HDFS
. ETL/Data Warehousing concepts
. Unix Shell Scripting
. Production Support
. Agile/Scrum
Good to Have
. Apache Sqoop
. Apache NiFi
. Control-M or AutoSys
. Git/Bitbucket
. Jenkins
. Banking or Financial Services domain experience.
Key Responsibilities
. Design, develop, and maintain ETL workflows using Informatica PowerCenter.
. Develop data pipelines using Python, Spark, Hive, and HDFS.
. Perform data extraction, transformation, and loading (ETL/ELT) from multiple source systems.
. Write and optimize SQL queries for Oracle, Teradata, or SQL Server databases.
. Prepare technical design documents, mapping specifications, and data flow documentation.
. Perform performance tuning, troubleshooting, and production support.
. Coordinate with Business Analysts, QA, and business stakeholders throughout the project lifecycle.
. Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.
. Support production deployments and incident resolution.
Job ID: 152590431
Skills:
Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar
Skills:
Python, Sql, Ms Azure
Skills:
Databricks, Python, Devops, Apache Spark, Pyspark, Azure DevOps, Microsoft Azure Cloud
Skills:
Data Visualization, Sql, ELT, Data Modeling, Dashboarding, Etl, Data Quality, Python, Logging specifications, Product analytics, Data processing performance tuning, SaaS Enterprise business models, Anomaly detection solutions
Skills:
Cloud Computing, Data Modeling, Apache Spark, Data Warehousing, Sql, Python, Microservices, Api Development, ETL Processes, CI/CD Pipelines