Company
Accellor logo

Accellor

www.accellor.com
Location

In office: Hyderabad, Telangana

  • 🇮🇳 India
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Data Engineer

Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of salesforce.com and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies.

  
Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.


  • Assist in building a high performing data platform which will power various reporting tools, analytics, machine learning

  • Create data tools for analytics and optimizing data models, articulate pros and cons of different modelling approaches

  • Proactively research and contribute ideas for improvement of data team processes

  • Produce scalable, replicable code and engineering solutions that help automate repetitive processes

  • Productionize data and machine learning models by creating and maintaining microservices to expose data to the application using Python, DynamoDB, Flask, and GraphQL

  • Design and build production data pipelines from ingestion to consumption within a big data architecture. Leverage various continuous delivery practices to deploy, support and operate data pipelines

  • Though understanding of data enterprise applications such as unified ID, De-duplication, classification, identifying the source of truth, different aggregation models

  • Seamlessly include data quality into your day-to-day work as well as into the delivery process

  • Working on relational SQL and NoSQL databases such as Redshift or comparable cloud based OLAP databases such as Snowflake

  • Writing and processing jobs to ingest a variety of structured and unstructured data received from various sources & formats such as Rest APIs, Flat Files, Logs, SQL, No SQL databases.

Required:

  • Min 5-7 yrs experience as Data Engineer

  • Experience with Big data, DataLake, Databricks, Synapse, Spark, Analytics tools like Power BI, Tableau

  • Experience in designing and implementing end to end cloud data engineering Solutions preferably Azure or any other cloud platform.

  • Preparing data for predictive models and Machine learning models

  • Excellent communication and interpersonal skills.

  • Direct Interactions with clients

  • Exposure to ETL tools and Data warehouse (would be a plus)

  • Design relational, multidimensional, and Master data management systems

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Disclaimer: -

Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics.