5.0 - 8.0 years

7 - 11 Lacs

Chennai, Malaysia, Malaysia

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Responsibilities for Data Engineer Create and maintain the optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications for Data Engineer We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines, architectures and data sets. Experience performing root cause analysis of internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable big data data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, etc. Knowledge of data pipelines and workflow management tools like Airflo Location: Chenna, India / Kuala Lumpur, Malaysia

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Data Engineer Grid Dynamics

8.0 - 13.0 years

15 - 30 Lacs

Hyderabad

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Role & responsibilities Details on tech stack databricks, python, pyspark, Snowflake, SQL Min requirements to the candidate Advanced SQL queries, scripts, stored procedures, materialized views, and views Focus on ELT to load data into database and perform transformations in database Ability to use analytical SQL functions Snowflake experience Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming Experience with DevOps models utilizing a CI/CD tool Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) Airflow GD Requirements Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships. Strong and effective communication skills (verbal and written). Strong analytical, problem-solving skills. Experience of working in a matrix organization. Proactive problem solver. Ability to prioritize and deliver. Results-oriented, flexible, adaptable. Work well independently and lead a team. Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills. Familiar with Agile practices and methodologies Professional data engineering experience focused on batch and real-time data pipelines using Spark, Python, SQL Data warehouse (data modeling, programming) Experience working with Snowflake Experience working on a cloud environment, preferably, Microsoft Azure Cloud Data Warehouse solutions (Snowflake, Azure DW) Preferred candidate profile

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