Highly Experienced Data Architect

1 week ago


India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Senior Data Engineer

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This is a high-profile opportunity for an experienced Senior Data Engineer to join our innovative team. As a key member of the engineering organization, you will be responsible for designing, implementing, and maintaining complex data architectures.

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  • Develop and implement modern data warehouse solutions using Snowflake, Databricks, and ADF.
  • Collaborate with DW BI leads to understand new ETL pipeline development requirements.
  • Triage issues to find gaps in existing pipelines and fix the issues.
  • Work with business stakeholders to understand reporting needs and develop data models to fulfill those needs.
  • Drive technical discussions with client architects and team members.
  • Orchestrate data pipelines in the scheduler via Airflow.
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As a senior data engineer, you will have a deep understanding of data management principles and experience with Big Data technologies such as Snowflake, Databricks, MongoDB, Cassandra, Neo4J, etc.

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Key skills include expertise in Snowflake security, Snowflake SQL, designing/ implementing other Snowflake objects, hands-on experience with SnowSQL, Snowpipe, Snowsight, and Snowflake connectors.

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A strong knowledge of data management principles, star and snowflake dimensional modeling, and data quality assurance are essential.

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Additionally, you should have experience working in a DevOps environment with tools like Terraform, CircleCI, and GIT.

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The ideal candidate will also have proficiency in RDBMS, complex SQL, PL SQL, Unix Shell Scripting, performance tuning, troubleshooting, and query optimization.

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Experience working with structured and unstructured data, including imaging and geospatial data is a plus.

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Strong verbal and written communication skills, strong analytical and problem-solving skills, and a high attention to detail are required.

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Proficiency in RDBMS, complex SQL, PL SQL, Unix Shell Scripting, performance tuning, troubleshooting, and query optimization is highly desirable.

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Experience working with cloud-based platforms, containerization, and microservices architecture is a plus.

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Desirable skills include experience working with data lakes, data warehousing, and business intelligence tools.

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Bachelor's and/or Master's degree in Computer Science or equivalent experience is required.

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Total 6 years of IT experience and 3 years of experience in Data Warehouse ETL projects is a must.

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Our company offers a dynamic, fast-paced, innovative work environment with opportunities for professional growth and development.

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Working with us means joining a global community of innovators who shape the future of technology and business.

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As a member of our team, you will have access to cutting-edge tools, technologies, and methodologies that enable you to excel in your role.

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We offer competitive compensation packages, comprehensive benefits, and ongoing training and development opportunities.

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Join us and become part of a talented team that drives innovation and excellence in the field of data engineering.

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