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Senior Data Engineer

8 years

0 Lacs

hyderabad telangana india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data service consulting technology ai analytics automation transparency collaboration cutting engineering power redshift collaborative design indexing strategies consistency reliability reporting software devops database migration versioning security compliance mysql etl sql query optimization mapping keying relational support development git bitbucket testing writing analyze

Work Mode

On-site

Job Type

Full Time

Job Description

Company:

Kanerika Inc

Website:

Visit Website

Business Type:

Small/Medium Business

Company Type:

Product & Service

Business Model:

B2B

Funding Stage:

Bootstrapped

Industry:

IT Services & Consulting

About Kanerika

Founded in 2015 and headquartered in Hyderabad, Kanerika is a global consulting and technology firm specializing in AI, Analytics, and Automation. As a Microsoft Fabric Featured Partner (2025), we enable businesses to achieve transformation through data-driven, sustainable, and innovative solutions. With a strong culture of mentorship, transparency, and collaboration, Kanerika has grown to a 200+ member team delivering cutting-edge digital solutions worldwide.

Role

We’re looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You’ll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, and optimized for scale. If you thrive on solving complex problems, love optimizing systems for performance, and want to be the go-to expert in a collaborative, high-impact environment, we’d love to meet you.

Key Responsibilities

  • Design and maintain scalable, efficient, and well-partitioned schemas in MSSQL, Redshift, and Snowflake
  • Architect and optimize complex queries, stored procedures, indexing strategies, and partitioning for large datasets
  • Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers
  • Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments
  • Collaborate with software engineers, analysts, and DevOps teams to ensure data models and queries align with product and reporting requirements.
  • Proactively identify and remediate performance bottlenecks, slow queries, and data inconsistencies
  • Implement and manage database change workflows using schema migration/versioning tools
  • Define and promote best practices for data access, security, compliance, and observability

What You’ll Bring

  • Bachelor’s or Master’s degree in Engineering, Computer Applications, or a related field.

What Will You Bring

  • 8+ years of experience in database engineering or backend systems development
  • Deep expertise with MySQL, Amazon Redshift, and Snowflake, including schema design and performance optimization
  • Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
  • Proven track record maintaining data freshness SLAs and data quality across production pipelines
  • Hands-on experience with T-SQL, LinkSQL, query optimization, and indexing strategies
  • Experience with query optimization, mapping tables to blocks and partitions, sub-table structure and keying/indexing for efficiency
  • Experience of relational data modelling and schema versioning in support of software development.
  • Experience as the sole or lead database expert on a development team.
  • Familiarity with source control systems (e.g., Git/Bitbucket) and CI/CD integration.
  • Strong problem-solving skills are desirable.
  • Transforming product requirements into workable solutions, in collaboration with several development and testing teams.
  • Writing robust functions, procedures and scripts using SQL.
  • Being heavily involved in the day to day running of the business dealing with support and performance issues.
  • Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
  • Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
  • Utilize a proactive approach to foresee potential problems and address them before they impact operations.

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