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An Amazing Hiring Opportunity

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Announces

Trained Data Engineers (Junior)

Job Description

At Reflections, expect to go beyond limitations: To build. To design. To code. To create. To think along with clients and innovate. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If yes, reach out to us.

You would be responsible for:

Developing and maintaining scalable data pipelines 

Performing data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Defining company data assets (data models),Spark, Redis, BigQuery, SQL, NoSQL, and hiveSQL  to populate data models.

Designing data integrations and data quality framework.

We also expect you to go out of your comfort zone and bring out of the box ideas to bring life, business, and collaboration in our organisation.

Programming languages such as Python, Scala or Java

Knowledge of cloud technologies on AWS (EC2, S3, EMR, Redshift, Athena, Glue, Sage maker etc.), Snowflake, Databricks etc

.

Experience/Knowledge with batch, streaming and other data pipeline methodologies

Experience/Knowledge with SQL and/or NoSQL distributed databases such as Postgres, Redis, BigQuery, Hive

Experience/Knowledge with Data warehousing solutions, ETL Tools, Machine Learning, and Data APIs

Big Data and data engineering experience with technologies such as Spark, Dataflow, Hive, Kafka/PubSub

Understanding the basics of distributed systems and knowledge of algorithms and data structures

Good communication skills, team working skills, Numerical and Analytical skills

Personal drive to achieve, to be self-motivated and organized

Skills Required:

CTC: 2.4 LPA & Above 

Experience: Freshers can also apply

Location: Anywhere in India, Work From Home

Work Culture: An opportunity to work with Industry Leaders

Perks:

If this seems like you, apply, we'll get back to you ASAP. 

See you soon. All the best. 

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