Data Engineer

Skillventory

4 - 9 years

16 - 25 Lacs

Navi Mumbai Bengaluru Mumbai (All Areas)

Posted:1 week ago| Platform:

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Skills Required

Etl Pipelines Data Engineering Banking SCALA Pyspark Financial Services Cloudera Hadoop Big Data Data Pipeline Etl Development Big Data Technologies Data Lake Spark ETL

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities:

Design and implement scalable data pipelines for feature extraction, transformation, and loading (ETL) using technologies such as Pyspark, Scala, and relevant big data frameworks.
Govern and optimize data pipelines to ensure high reliability, efficiency, and data quality across on-premise and cloud environments.
Collaborate closely with data scientists, ML engineers, and business stakeholders to understand data requirements and translate them into technical solutions.
Implement best practices for data governance, metadata management, and compliance with regulatory requirements.
Lead a team of data engineers, providing technical guidance, mentorship, and fostering a culture of innovation and collaboration.
Stay updated with industry trends and advancements in big data technologies and contribute to the continuous improvement of our data engineering practices.

Preferred candidate profile

Strong experience in data engineering with hands-on experience in designing and implementing data pipelines.
Strong proficiency in programming languages such as Pyspark and Scala, with experience in big data technologies (Cloudera, Hadoop ecosystem).
Proven leadership experience in managing and mentoring a team of data engineers.
Experience working in a banking or financial services environment is a plus.
Excellent communication skills with the ability to collaborate effectively across teams and stakeholders.

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