Data Engineer

Industry: Technology
Company size: 51-250

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Job description

A well-established conglomerate that is successfully transforming one of the third-world nations into a supernation with their range of products and services spanning multiple industries, is looking for a Data Engineer. The engineer will be integrating data from many sources, such as databases, third-party services, and APIs, to present a cohesive and all-encompassing picture of the data. The company's goal is to create sustainable value while constructing infrastructure of the highest caliber. This is an amazing opportunity for candidates who are passionate about building better lives for millions of people. 


Job Responsibilities:

  • Create, construct, and manage reliable data pipelines to load, extract, and transform (ETL) data into our data warehouse from a variety of sources
  • In order to meet business intelligence and analytics demands, create and manage data models that guarantee data performance, correctness, and consistency
  • Ensure data integrity, availability, and security by managing and optimizing data warehouses and other data storage solutions
  • Locate and fix performance bottlenecks in databases and data pipelines to guarantee effective query performance and data processing
  • Design, develop, and maintain the data architecture, ensuring the data pipelines' availability, reliability, and scalability
  • Collaborate closely with data scientists, analysts, and other stakeholders to empower data-driven decision-making across the organization
  • Automate data quality checks, data extraction, and pre-processing
  • Ensure that the data will flow through the pipelines seamlessly and enable the Data Analysts and Data Scientists to extract nuggets from the data
  • To guarantee the accuracy of the data used for reporting and analysis, put in place procedures for data quality checks and validation
  • To enable information sharing and troubleshooting, create and maintain documentation for data processes, pipelines, and infrastructure
  • Work together with cross-functional teams to comprehend data requirements and provide solutions that satisfy them, including data scientists, analysts, and software developers
  • Install monitoring and warning systems to find and fix infrastructure and data pipeline problems early
  • Follow compliance protocols in line with legal requirements, guidelines, and standards

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • Demonstrated expertise in data pipeline management, ETL creation, and data engineering
  • Competence with large data processing frameworks such as Spark (park) and programming languages such as Python, Java, or Scala
  • Solid SQL abilities and familiarity with relational databases (PostgreSQL, MySQL, etc.)
  • Practical experience with cloud platforms (Azure, Google Cloud, AWS, etc.) and big data technologies (Hadoop, Spark, Databricks, etc.)
  • Comprehensive understanding of data warehousing principles and methods
  • Proficiency with DevOps techniques and version control technologies (such as Git)
  • Results-oriented with excellent critical thinking, analytical, and numerical abilities
  • Have the ability to collaborate with others in cross-functional teams to carry out project requirements
  • Ability to operate freely and productively in a fast-paced, flexible setting with strict deadlines
  • Be a cooperative, adaptable, and realistic team member with the natural ability to interact with stakeholders at all organizational levels requires careful attention to detail in order to ensure data correctness and cleanliness
  • Ability to use data-driven methods to solve real-world business problems
  • When working with sensitive data, be aware of data ethics and privacy laws (such as the IT Act 2000 and DPDP)
  • Excellent English communication skills, both spoken and written

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