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Data Engineer

Data Engineer

Grid DynamicsChennai, Tamil Nadu, India
1 day ago
Job description

We are seeking a skilled Data Engineer with over 5+ years of experience to design, build, and maintain scalable data pipelines and perform advanced data analysis to support business intelligence and data-driven decision-making. The ideal candidate will have a strong foundation in computer science principles, extensive experience with SQL and big data tools, and proficiency in cloud platforms and data visualization tools.

Key Responsibilities :

  • Design, develop, and maintain robust, scalable ETL pipelines using Apache Airflow, DBT, Composer (GCP), Control-M, Cron, Luigi, and similar tools.
  • Build and optimize data architectures including data lakes and data warehouses.
  • Integrate data from multiple sources ensuring data quality and consistency.
  • Collaborate with data scientists, analysts, and stakeholders to translate business requirements into technical solutions.
  • Analyze complex datasets to identify trends, generate actionable insights, and support decision-making.
  • Develop and maintain dashboards and reports using Tableau, Power BI, and Jupyter Notebooks for visualization and pipeline validation.
  • Manage and optimize relational and NoSQL databases such as MySQL, PostgreSQL, Oracle, MongoDB, and DynamoDB.
  • Work with big data tools and frameworks including Hadoop, Spark, Hive, Kafka, Informatica, Talend, SSIS, and Dataflow.
  • Utilize cloud data services and warehouses like AWS Glue, GCP Dataflow, Azure Data Factory, Snowflake, Redshift, and BigQuery.
  • Support CI / CD pipelines and DevOps workflows using Git, Docker, Terraform, and related tools.
  • Ensure data governance, security, and compliance standards are met.
  • Participate in Agile and DevOps processes to enhance data engineering workflows.

Required Qualifications :

  • 5+ years of professional experience in data engineering and data analysis roles.
  • Strong proficiency in SQL and experience with database management systems such as MySQL, PostgreSQL, Oracle, and MongoDB.
  • Hands-on experience with big data tools like Hadoop and Apache Spark.
  • Proficient in Python programming.
  • Experience with data visualization tools such as Tableau, Power BI, and Jupyter Notebooks.
  • Proven ability to design, build, and maintain scalable ETL pipelines using tools like Apache Airflow, DBT, Composer (GCP), Control-M, Cron, and Luigi.
  • Familiarity with data engineering tools including Hive, Kafka, Informatica, Talend, SSIS, and Dataflow.
  • Experience working with cloud data warehouses and services (Snowflake, Redshift, BigQuery, AWS Glue, GCP Dataflow, Azure Data Factory).
  • Understanding of data modeling concepts and data lake / data warehouse architectures.
  • Experience supporting CI / CD practices with Git, Docker, Terraform, and DevOps workflows.
  • Knowledge of both relational and NoSQL databases, including PostgreSQL, BigQuery, MongoDB, and DynamoDB.
  • Exposure to Agile and DevOps methodologies.
  • Experience with Amazon Web Services (S3, Glue, Redshift, Lambda, Athena)
  • Preferred Skills :

  • Strong problem-solving and communication skills.
  • Ability to work independently and collaboratively in a team environment.
  • Experience with service development, REST APIs, and automation testing is a plus.
  • Familiarity with version control systems and workflow automation.
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    Data Engineer • Chennai, Tamil Nadu, India

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