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Engaged Employer

Discover Dollar

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4.2

based on 18 Reviews

7 Discover Dollar Jobs

Manager - Data Operations

Discover Dollar Technologies Pvt Ltd

4.2

based on 18 Reviews

6-8 years

Bangalore / Bengaluru

1 vacancy

Manager - Data Operations

Discover Dollar

posted 3d ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Computer Science Data Analysis Data Analytics Python SQL

+ 3 more

Job Description

Manager Data Operations will focus on data engineering and data science to optimize our data practices and decision-making systems. This role will lead ETL processes, data pipeline development, and advanced analytics efforts, with a strong emphasis on Generative AI, working with large datasets. You will drive business insights, enable advanced analytics, and develop sustainable solutions that support the companys strategic goals.

Roles and Responsibilities:

Team Development and Leadership: Build and mentor high-performing data engineering, data science and data analysis teams by promoting a collaborative, open, and growth-oriented culture.
Strategic Planning: Define the strategy and roadmap for the Discover Dollar data platform, ensuring alignment with business and technological objectives.
System Architecture: Design and implement scalable, fault-tolerant distributed systems for data ingestion, processing, and analytics.
Cross-Functional Collaboration: Partner with product, business, and data science teams to gather requirements, prioritize tasks, and develop impactful solutions.
Hands-On Problem Solving: Contribute to coding when necessary to resolve complex challenges or provide architectural insights.
Operational Excellence: Advocate for and implement best practices in software development, deployment, monitoring, and incident management.
Innovation and Growth: Drive initiatives to adopt emerging technologies and enhance the capabilities of the Discover Dollar data platform.
Project Ownership: Take full ownership of projects, ensuring high quality, scalability, and timely delivery.

Technical Expertise:

Data Engineering and Architecture: Proficient in ETL processes, analytical platforms, and event-driven architectures.
Programming Proficiency: Advanced knowledge of Python, Pyspark and SQL, with a strong understanding of distributed data systems.
Pipeline Design: Experienced in creating real-time and batch data pipelines using tools like Kafka, Spark, Azure Data Factory, and Databricks and Azure Synapse Analytics.
Cloud and DevOps Tools: Hands-on experience with cloud platforms such as Azure, along with tools like Docker.
DataOps and Data Governance: Well-versed in DataOps and Version Control and data governance platforms like Unity Catalog.

Education & Experience:

Bachelors degree in Computer Science, Data Science, Engineering, or a related field.
6+ years of experience in data engineering, analytics, or related fields.
Strong expertise in ETL processes, SQL, Python, Spark and cloud-based data solutions.
Proficiency in data warehousing solutions, including Azure, Redshift, Snowflake, or similar.
Solid understanding of API development and integration.
Strong problem-solving and communication skills, with the ability to collaborate across cross-functional teams.
Experience with advanced machine learning models and deployment strategies.