Hiring Organization : Taskus

Location : Airoli , #Mumbai India

Experience : 2 years

salary : Not disclosed ,

Associate Data Engineer job in Mumbai India :

Eligibility : Undergraduate, Postgraduate, Engineering Students, ManagementArts, Commerce, Sciences & OthersLaw, MedicalFresher

Skills : Data Engineering

Responsibilities of the Candidate:

Configures and sets up solutions based on pre-approved patterns to move data from operational and external environments to the business intelligence environment.

Management of data integration & ETL jobs – consolidation, aggregation, filtering, validation, data quality routines, dimension creation, etc.

Configure and Deploy automation of jobs based on pre-approved and reusable patterns framework. Executes production-level jobs by considering data dependencies, schedules, validation routines, data stream updates.

Design, develop and verify the data model according to the business requirements, and continuously optimize the model.

Collaborate with technical users to define data requirements & establish business rules to be applied

Collaborate with key business stakeholders to deliver and continually enhance the BI platform to provide relevant and accurate insights through the delivery of new datasets.

Requirements:

At least 2 years of experience in Data Engineering.

Knowledgeable with Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.

Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas with at least 2 years of data modeling.

At least 2 years of hands-on development experience using ETL Tools such as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow.

Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift.

3-year development using Cloud-based analytics solutions preferable AWS or GCP.

Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.

Knowledgeable in Database Tuning and ETL tuning.

Experience of using Python in a cloud-based environment is preferred.

Knowledge on NoSQL DBs is preferred.

Knowledge, experience and exposure to AI tools is preferred but not required.

Someone who has the ability to work effectively across internal functional areas in ambiguous situations.

Someone who is a structured thinker and effective communicator.

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