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ETL Developer – EMEL0120PS
ETL Developer – EMEL0120PS
EnterpriseMinds's logo

ETL Developer – EMEL0120PS

Rani Galipalli's profile picture
Posted by Rani Galipalli
6 - 8 yrs
₹25L - ₹28L / yr
Bengaluru (Bangalore), Pune, Mumbai
Skills
ETL
Informatica
Data Warehouse (DWH)
ETL management
SQL
Azure Data Factory

Your key responsibilities

 

  • Create and maintain optimal data pipeline architecture. Should have experience in building batch/real-time ETL Data Pipelines. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • The individual will be responsible for solution design, integration, data sourcing, transformation, database design and implementation of complex data warehousing solutions.
  • Responsible for development, support, maintenance, and implementation of a complex project module
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support.
  • complete reporting solutions.
  • Preparation of HLD about architecture of the application and high level design.
  • Preparation of LLD about job design, job description and in detail information of the jobs.
  • Preparation of Unit Test cases and execution of the same.
  • Provide technical guidance and mentoring to application development teams throughout all the phases of the software development life cycle

Skills and attributes for success

 

  • Strong experience in SQL. Proficient in writing performant SQL working with large data volumes. Proficiency in writing and debugging complex SQLs.
  • Strong experience in database system Microsoft Azure. Experienced in Azure Data Factory.
  • Strong in Data Warehousing concepts. Experience with large-scale data warehousing architecture and data modelling.
  • Should have enough experience to work on Power Shell Scripting
  • Able to guide the team through the development, testing and implementation stages and review the completed work effectively
  • Able to make quick decisions and solve technical problems to provide an efficient environment for project implementation
  • Primary owner of delivery, timelines. Review code was written by other engineers.
  • Maintain highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability
  • Must have understanding of business intelligence development in the IT industry
  • Outstanding written and verbal communication skills
  • Should be adept in SDLC process - requirement analysis, time estimation, design, development, testing and maintenance
  • Hands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools
  • Should be able to orchestrate and automate pipeline
  • Good to have : Knowledge of distributed systems such as Hadoop, Hive, Spark

 

To qualify for the role, you must have

 

  • Bachelor's Degree in Computer Science, Economics, Engineering, IT, Mathematics, or related field preferred
  • More than 6 years of experience in ETL development projects
  • Proven experience in delivering effective technical ETL strategies
  • Microsoft Azure project experience
  • Technologies: ETL- ADF, SQL, Azure components (must-have), Python (nice to have)

 

Ideally, you’ll also have

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About EnterpriseMinds

Founded :
2017
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.


Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.


We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.


Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.


We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.


We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

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