Senior Data Engineer

7 days ago

Delhi, Delhi, India Nthinsight Full time

Job Title: Senior Data Engineer

About the Role:

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team at Nthinsight. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support the organization's data needs.

Key Responsibilities:

  • Collaborate with cross-functional teams to ensure the effective collection, storage, and retrieval of data for analytics and reporting purposes.
  • Work with product managers and data analysts to build data products that power our business.
  • Build and maintain data analytics reports, ETL/ELT pipelines, data lakes, and streaming solutions.
  • Analyze new data sources and work with stakeholders to understand the impact of integrating new data into existing pipelines and models.
  • Develop and maintain critical data pipelines, using tools such as Apache Airflow, to ensure highly accurate and reliable business reporting.
  • Perform ad-hoc analysis and provide insights to stakeholders within the organization.
  • Create data visualizations and analytic reports using various tools such as Tableau.
  • Optimize database queries to improve and maintain performance on very large data sets.

Requirements:

  • 8+ years of relevant experience.
  • Masters or Bachelors degree in CS/ML/AI or equivalent discipline.
  • Expertise with coding with Pyspark, Pandas, and visualizations with Tableau.
  • Scheduling/orchestrating pipelines using Databricks and Airflow.
  • Expertise with data querying (Snowflake, SQL, Redshift, Spark) and analyzing billions of rows of data points.
  • Familiarity with SQL, especially within cloud-based data warehouses like Snowflake, Google Big Query, and Amazon Redshift.
  • Strong understanding of relational DB such as MySQL/PostgreSQL, document-based storage systems such as MongoDB or CouchDB, key-value stores (Memcached, Redis), Column-oriented stores (HBase, Cassandra), graph-oriented stores; their distinct advantages, disadvantages, and trade-offs.
  • Experience building machine learning, statistical, and analytical models, and tuning parameters.
  • Experience designing experiments and extracting insights.
  • Knowledge of various ETL/ELT techniques and frameworks.

What We Offer:

We offer a dynamic and innovative work environment, competitive salary, and opportunities for growth and development. If you are a motivated and experienced Data Engineer with a passion for building robust and scalable data solutions, we invite you to apply and contribute to our team.

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