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Data Engineer
2 weeks ago
using Informatica BDM. Itrequires extensive experience in ETL SQL Scoop Spark Hive Hadoop&
KAFKA. Knowledge of PySpark will bepreferable Job Title DataEngineer Experience Minimum 45 years ofExperience in Development in
Informatica Big DataManagement/ DEI & Informatica Power
Center
Extensive experience in delivering data pipelinesusing
Informatica on Big Data Clusters
Handson experience with extraction of unstructured and semi
structured data using data processor transformation
Knowledge of PySpark will be high preferable
Fullknowledge of designing and creating complex data modelsEducation Skillsets &
Qualifications Bachelors degree in ComputerScience or equivalent; Masters
preferredProgramming
Solid programming skills in SQL
Deep Knowledge in data architecture designing workflows
building ingestion framework
Expertise of working onEnterprise Big data distribution like
Cloudera. Exposureto big data components HDFS HIVEQL
Spark HBase Impala isessential Main Duties & ResponsibilitiesBuilding and optimizing data pipelines architectures and datasets;
both batchoriented and real time using InformaticaBDM from
both relational & non relationalDBs
Design develop and customize mappings/workflows fordifferent
types of loads using InformaticaBDM
Leverage various transformations in Informatica BDMtool to work
on data ingestion data profiling & dataquality
Leverage Hadoop ecosystem knowledge to designand develop
capabilities to deliver oursolutions
Support and play a pivotal role as part ofdata engineering team to
build the data lake on Clouderafor Enterprise analytics.
Work hands on with Spark &KAFKA in addition to Informatica
platform
Design recommend best approach suited for data movementfrom
different sources to HDFS
Ensure optimumperformance of the Informatica mappings and
workflow
Work with dynamic cross functional teamsincluding business
Solution architects & Dataengineers
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