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Manager - Tech Consulting - FS - CNS - TC - Platforms

Manager - Tech Consulting - FS - CNS - TC - Platforms

4 - 7 years

19 - 25 Lacs

hyderabad

Posted:2 weeks ago| Platform:

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Skills Required

presentation skills data warehousing facilitation database creation etl development management consulting snowflake python microsoft azure distributed computing sql spring java postgresql spark gcp kafka mysql hadoop bigquery aws mongodb

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your key responsibilities

Hire, mentor and manage a team of data engineers, fostering a culture of innovation, collaboration and continuous learning in data engineering best practices.

Design, develop and maintain scalable ETL (Extract, Transform, Load) pipelines to efficiently process and integrate structured and unstructured data from multiple sources.

Build and maintain scalable, fault-tolerant data architectures, ensuring efficient data storage, retrieval and processing across cloud and on-premises environments.

Oversee the design, implementation and performance tuning of relational and NoSQL databases, ensuring data consistency, security and accessibility.

Automate data ingestion, transformation and validation processes to enhance data pipeline efficiency and reduce manual intervention.

Develop cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging technologies such as Spark, Hadoop and Kafka for large-scale data processing.

Work closely with data scientists, analysts and business intelligence teams to understand data requirements and develop scalable solutions for analytics and reporting.

Proactively monitor data pipelines and systems for performance issues, troubleshoot failures and implement preventive measures for system reliability.

Partner with business and IT leaders to align data engineering initiatives with company goals, ensuring seamless integration of data-driven solutions across departments.

Skills and attributes for success

A team player with strong analytical, communication and interpersonal skills

Constantly updating yourself about new technologies in the market

A winning personality and the ability to become a trusted advisor to the stakeholders

To qualify for the role, you must have

Minimum 8 years of relevant work experience, with at least 5 years in a leadership role managing data engineering teams and large-scale data infrastructure.

Bachelors degree (B.E./B.Tech) in Computer Science, IT, or a related field or Diploma in Data Science/Data Engineering.

Strong expertise in ETL development, data warehousing and real-time data processing frameworks.

Hands-on experience with SQL, Python, Spark, Kafka and cloud platforms (AWS, Azure, Google Cloud).

Proficiency in database technologies (PostgreSQL, MySQL, MongoDB, Snowflake, Big Query) and distributed computing frameworks.

Ideally, youll also have

Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.

Be highly flexible, adaptable, and creative.

Comfortable interacting with senior executives (within the firm and at the client)

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Manager - Tech Consulting - FS - CNS - TC - Platforms