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Data Pipeline
They provide both wholesale and retail funding. PM1
They provide both wholesale and retail funding. PM1's logo

Data Pipeline

at They provide both wholesale and retail funding. PM1

Agency job
5 - 7 yrs
₹20L - ₹25L / yr
Mumbai
Skills
ETL
Talend
OLAP
Data governance
SQL
MySQL
Redshift
Snowflake
AWS S3
Algorithm
Data & Structures
Data engineering
Data lake
  • Key responsibility is to design and develop a data pipeline including the architecture, prototyping, and development of data extraction, transformation/processing, cleansing/standardizing, and loading in Data Warehouse at real-time/near the real-time frequency. Source data can be structured, semi-structured, and/or unstructured format.
  • Provide technical expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of  Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
  • Development of complex data transformation using Talend (BigData edition), Python/Java transformation in Talend, SQL/Python/Java UDXs, AWS S3, etc to load in OLAP Data Warehouse in Structured/Semi-structured form
  • Development of data model and creating transformation logic to populate models for faster data consumption with simple SQL.
  • Implementing automated Audit & Quality assurance checks in Data Pipeline
  • Document & maintain data lineage to enable data governance
  • Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc

Requirements

  • Programming experience using Python / Java, to create functions / UDX
  • Extensive technical experience with SQL on RDBMS (Oracle/MySQL/Postgresql etc) including code optimization techniques
  • Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
  • Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
  • Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of  Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
  • Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
  • Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
  • Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
  • Good analytical skills with the ability to synthesize data to design and deliver meaningful information
  • Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
  • Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
  • Ability to understand business functionality, processes, and flows
  • Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently

Functional knowledge

  • Data Governance & Quality Assurance
  • Distributed computing
  • Linux
  • Data structures and algorithm
  • Unstructured Data Processing
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

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