Data Architectural Strategist

4 days ago

Kolkata, West Bengal, India beBeeDataEngineer Full time

Job Title: Senior Data Engineer

Job Description

The Senior Data Engineer plays a pivotal role in leading the design, development, and optimization of data infrastructure and systems to meet complex business needs. They collaborate with cross-functional teams to deliver innovative data solutions and ensure adherence to best practices in data management and governance.

  • Designs and develops advanced data pipelines, ensuring seamless ETL/ELT of data into enterprise storage systems.
  • Oversees data integration from diverse sources, maintaining data consistency, integrity, and compliance with enterprise standards.
  • Transforms raw data into usable formats through cleansing, aggregation, filtering, and enrichment techniques.
  • Optimizes data pipelines and workflows for scalability, performance, and cost efficiency.
  • Establishes robust data validation, quality checks, and error-handling mechanisms to ensure enterprise data integrity.
  • Mentors junior data engineers, promoting technical growth and team development.
  • Implements and enforces best practices in data governance, including metadata management and lineage tracking.
  • Drives the adoption of real-time data streaming and processing workflows to enable advanced analytics and decision-making.
  • Partners with stakeholders to identify and address complex data challenges, delivering scalable and innovative solutions.
  • Stays updated with emerging data technologies, evaluating their potential to enhance enterprise capabilities.
  • Develops and enforces data security protocols to protect sensitive information.
Required Skills and Qualifications

To succeed in this role, you will need:

  • A bachelor s degree in computer science, data science, software engineering, information systems, or related quantitative field; master s degree preferred
  • 8+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions.
  • Proven leadership in implementing big data solutions (e.g., Snowflake, Databricks) and distributed data systems (e.g., Apache Spark, Flink).
  • Advanced proficiency in Apache technologies (Kafka, Airflow, Spark) and programming languages (Python, Java, Scala).
  • Expertise in data query tools (SQL, Hive) and database technologies (NoSQL, Hadoop, Teradata).
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures.
  • Experience with real-time streaming data workflows and AI/ML analytics initiatives.
  • Exceptional analytical and problem-solving skills with debugging expertise in complex systems.
  • Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.
  • Strong leadership abilities to mentor teams and influence cross-functional initiatives.
Benefits

We offer a dynamic and challenging work environment that encourages innovation and professional growth. Our benefits package includes:

  • A competitive salary and bonus structure
  • A comprehensive benefits program, including health insurance, retirement plans, and paid time off
  • Ongoing training and development opportunities to enhance your skills and knowledge
  • A collaborative and inclusive work culture that values diversity and inclusion
Others

This role is a full-time, permanent position within our Data Science & Analytics department. If you are passionate about data engineering and want to join a dynamic team, please apply now

About Us

We are a software product company that specializes in developing innovative data solutions for businesses.

Contact Information

Please submit your application, including your resume and cover letter, to [insert contact information].

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