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14 BrandMuscle Jobs

Data Engineer

3-6 years

Pune

1 vacancy

Data Engineer

BrandMuscle

posted 1hr ago

Job Role Insights

Fixed timing

Job Description

The Data Architect supports a world-class analytics experience by implementing recognized industry best practices, including state-of-the art data control and transformation practices to enable self-service analytics throughout the organization. An in-depth understanding of OLTP and OLAP is essential for success in this position.

Responsibilities:

The Data Architect supports a world-class analytics experience by implementing recognized industry best practices, including state-of-the art data control and transformation practices to enable self-service analytics throughout the organization. An in-depth understanding of OLTP and OLAP is essential for success in this position.

The Data Architect responsibilities include:

  • Planning and supporting the design and implementation of data centric infrastructure to support the analytics environment.
  • Maintaining an in-depth knowledge of the organization s data solutions and leveraging that knowledge to continuously evolve data structure for analytics at the organization.
  • Architect data structures for reports and dashboards supporting internal teams and overall self-service infrastructure.
  • Assisting the teams, product owners, and organization with implementing data modeling best practices.
  • Participating in team collaboration through idea-sharing and brainstorming sessions.
  • Provide direction on data migration, data lineage, master data management, and overall data strategy.
  • Coordinating with other departments within the organization to effectively understand where additional data resources can be curated to enhance overall analytics strategy.
  • Assisting the leadership team to set direction and identify solutions addressing opportunities and challenges.
  • Providing ongoing feedback and assessment of project status and issues to the director.
  • Demonstrating a hands-on, high energy work ethic and championing a team player attitude.
  • Continually evaluate data analytics industry trends and new technologies.
  • Prioritizing, coordinating, and managing varying priorities in a fast-paced environment.

Experience

  • Bachelors or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 3+ years of experience in a data engineering role or equivalent.
  • Proficiency with programming languages such as Python, SQL, or Scala.
  • Experience with big data tools such as Hadoop, Spark, or Kafka.
  • Expertise in designing and optimizing ETL processes.
  • Strong knowledge of data modeling, data warehousing, and working with relational databases (e.g., PostgreSQL, MySQL, Oracle).
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Familiarity with APIs, data lakes, and large-scale data architectures.
  • Ability to collaborate in cross-functional teams and communicate technical concepts effectively.
  • Strong problem-solving skills with attention to detail and ability to handle large datasets.

Preferred:

  • Experience with real-time data processing frameworks (e.g., Apache Flink, Storm).
  • Familiarity with machine learning pipelines and integrating them into data workflows.
  • Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins).
  • Previous experience working in Data Science or Business Intelligence teams.

Preferred

  • Familiarity with Jira, Jira Service Desk, cloud architecture.
  • Experience with SOAP and REST API s
  • Experience with Python or R
  • Microsoft Certifications
  • Advertising or marketing knowledge a plus
  • Experience with data architecture, data modeling, database design and the use of data warehouses and data marts.
  • Experience with star and snowflake database design and modeling.
  • Experience with Alteryx Server and Self-Service environments
  • Experience working in an agile development environment

Requirements


Employment Type: Full Time, Permanent

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What people at BrandMuscle are saying

What BrandMuscle employees are saying about work life

based on 78 employees
54%
92%
90%
69%
Strict timing
Monday to Friday
No travel
Night Shift
View more insights

BrandMuscle Benefits

Health Insurance
Cafeteria
Free Transport
Work From Home
Team Outings
Job Training +6 more
View more benefits

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