Data Engineer

Bengaluru, Karnataka, India

Reveal Health Tech

With robust clinical, engineering, and entrepreneurial knowledge, Reveal HealthTech is your ideal healthcare technology partner

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Hello and glad you decided to give this job a shot! We are new and we are growing, we are an early-stage IT startup based out in the US and India. We are Reveal Healthtech.

We are on a mission to help "reveal" the transformative potential of technology in delivering healthcare. We want passionate people like you to join us in the mission and leverage technology in the most innovative way possible to meet our clients' needs by partnering with us.

Read more about why we started Reveal Healthtech in our website.

If all of this resonates with you and building a business from 0 to 1 excites you, read on to the JD😎

Please note this is a hybrid role. #LI_Hybrid.

Requirements

What do we need?

We are looking out for a talented Data Engineer to join our growing team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining our infrastructure. You will work cross-functionally to automate processes, improve system reliability, and scale our platform. In this role, you will have the opportunity to leverage your technical expertise to help us accomplish our mission to partner with our clients and meet their needs in the most innovative way possible.


Responsibilities

As a data engineer responsible for maintaining a data lake, your key responsibilities would include:

  1. Data Ingestion: You would be tasked with collecting and extracting data from multiple sources, such as databases, APIs, or files, and loading it into the data lake. This involves understanding the data sources, designing data ingestion pipelines, and ensuring data quality and integrity during the process.
  2. Data Transformation and Preparation: Once the data is in the data lake, you'll need to transform and prepare it for analysis. This may involve cleaning, filtering, aggregating, or joining data sets to create a unified and reliable dataset that can be used for reporting and analysis.
  3. Data Modeling and Architecture: You'll be responsible for designing and implementing the data lake's schema and structure. This includes defining data tables, partitions, and optimizing storage mechanisms for efficient data retrieval and analysis.
  4. Data Governance and Security: Maintaining data privacy, security, and compliance are critical aspects of your role. You'll need to establish and enforce data governance policies, implement access controls, and ensure data is handled in accordance with relevant regulations and best practices.
  5. Tableau Integration: Using Tableau, you'll build interactive visualizations and reports based on the data in the data lake. This involves creating dashboards, charts, and other visual representations to enable effective data exploration and analysis for end-users.
  6. Performance Optimization: You'll continuously monitor and optimize the performance of data pipelines, data lake storage, and Tableau dashboards. This may involve tuning queries, indexing data, or optimizing Tableau workbooks to ensure efficient and timely access to data.
  7. Collaboration and Documentation: Effective collaboration with other teams, such as data scientists, analysts, or business stakeholders, is crucial. You'll need to understand their requirements, provide support, and document data pipelines, transformations, and Tableau configurations for future reference.

Key Skills and Qualifications

  • Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. A master's degree is a plus.
  • Proven experience as a Data Engineer or in a similar role
  • Strong programming skills in languages in JVM language, Java, Kotlin and or Scala as well as SQL and Python
  • Experience with data integration and [ELT or ETL] tools like Apache Spark, Airbyte, Meltano, Singer
  • Familiarity with big data processing frameworks like Apache Kafka, Apache Spark or Apache Flink
  • Proficiency in working with relational databases, data warehouses, data lake (Iceberg/S3 and Parquet), and distributed storage systems
  • Knowledge of data modeling, data warehousing concepts, and dimensional modeling


How you will enrich us?

  • Energetic and enthusiastic
  • Autonomous and self-motivated
  • Growth mindset
  • Embraces challenges
  • Building new things gets your blood pumping!
  • Curiosity and deep interest in the world
  • Challenges the status quo constructively

Benefits

What do you get in return?

  • Be part of a growing/amazing team - A great opportunity to be part of 0-1 of a new age technology services & product engineering company in a risk-adjusted environment with high upside for initial members.
  • Trust over control - We believe in strong business fundamentals and possess vision for scale from day 1. Truly, people are our greatest winners and we want to make sure your full potential is met in the job.
  • Numerous on-the-job-and-beyond learning opportunities - We already have a curated list of courses you can dive right in!
  • Industry best compensation and benefits

Next Steps

  • Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!
  • If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can align mutually.
  • You would have two tasks - a computer-based reasoning test and a technical case study followed by a job-based interview in the next rounds.
  • Finally, you would have a chat with our founder to understand more about us and see if this is the right next career move!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Architecture Big Data Computer Science Data governance Data pipelines Data quality Data Warehousing ELT Engineering ETL Flink Java Kafka Parquet Pipelines Privacy Python RDBMS Scala Security Spark SQL Tableau

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: India
Job stats:  0  0  0
Category: Engineering Jobs

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