Senior Data Engineer IND (Remote)

United Kingdom·CambourneRemotesenior

Data EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Our Client : is a leading revenue intelligence platform, combining automation and human research to deliver 95% data accuracy across their published contact data.

Technical Tools

javamysqlpostgresqlpythonscalasparksqlagiledistributed-systemsetllinuxmachine-learning

Our Client : is a leading revenue intelligence platform, combining automation and human research to deliver 95% data accuracy across their published contact data. With a growing database of 5 million+ human-verified contacts and over 70 million machine-processed contacts, they offer one of the largest collections of direct dial contacts in the industry. Their dedicated research team re-verifies contacts every 90 days, ensuring exceptional data accuracy and quality.

Location: Remote (Pan India)
Shift Timings: 2:00 PM – 11:00 PM IST
Reporting To: CEO or assigned Lead by Management.

Responsibilities

~1 min read

→Design and build scalable data pipelines for extraction, transformation, and loading (ETL) using the latest Big Data technologies.
→Identify and implement internal process improvements like automating manual tasks and optimizing data flows for better performance and scalability.
→Partner with Product, Data, and Engineering teams to address data-related technical issues and infrastructure needs.
→Collaborate with machine learning and analytics experts to support advanced data use cases.

Key Requirements :

→Bachelor’s degree in Engineering, Computer Science, or a relevant technical field.
→10+ years of recent experience in Data Engineering roles.
→Minimum 5 years of hands-on experience with Apache Spark, with strong understanding of Spark internals.
→Deep knowledge of Big Data concepts and distributed systems.
→Proficiency in coding with Scala, Python, or Java, with flexibility to switch languages when required.
→Expertise in SQL, and hands-on experience with PostgreSQL, MySQL, or similar relational databases.
→Strong cloud experience with Databricks, including Delta Lake.
→Experience working with data formats like Delta Tables, Parquet, CSV, JSON.
→Comfortable working in Linux environments and scripting.
→Comfortable working in an Agile environment.
→Machine Learning knowledge is a plus.
→Must be capable of working independently and delivering stable, efficient and reliable software.
→Experience supporting and working with cross-functional teams in a dynamic environment.