Urgent Search Staff Data Engineer

About ANSR Summit ConsultingANSR is a market leader in enabling organizations to build manage and scale global teams through Global Capability Centers GCCs We provide full life-cycle services including GCC design set up and enabling operations For over 18 years companies cutting across size industry and markets have relied on ANSRs expertise to successfully build global business and technology teams Since its inception ANSR has established over 90 GCCs Our experience spans across industries including retail CPG banking insurance travel transportation and healthcare We operate in supply-rich locations like India Central and Eastern Europe South America Canada and Southeast Asia Role and Responsibilities Participate in the entire data pipeline lifecycle focusing on building data lakes data warehouses and related processes Contribute to the design and documentation of our data lake platform Partner with Sr staff on the development and maintenance of data governance policies and procedures that ensure data quality accuracy consistency and privacy Mentor other data engineers providing technical guidance and ensuring that team members have the necessary skills and resources to perform their duties Conduct code and design reviews with junior and peer developers Write clean code to develop data pipelines and necessary infrastructure as code Aid in setting coding standards for team members to follow Partner with cross functional teams to understand requirements and effectively design appropriate solutions Monitor and troubleshoot performance scalability and security issues making improvements as needed Aid in determining and implementing KPIs for performance and stability of platform Participate in the review of new technologies and tools for our data teams Partner with engineering and other cross functional teams to collect and implement technical and design requirements Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects Participate in cross-functional initiatives promoting a culture of data-driven decision-making and continuous improvement Participate in an on call rotation Job Requirement 8 years of related experience or 6 years and an advanced degree Bachelors degree in engineering computer science math data engineering or another related field or equivalent work experience Experience in the development of modern data architecture analytics data governance AI ML or related areas Strong Experience with AWS big data technologies including EMR Glue S3 EKS Lambda Athena RDS MKS Kafka Kinesis Expertise with relational and NoSQL databases such as PostgresQL Cassandra DynamoDB MongoDb etc and data modeling principles Knowledge of data pipeline tools and workflow engines e g Apache Airflow and Spark Experience with DevOps including CI CD pipelines containerized deployment Kubernetes and infrastructure-as-code AWS Cloud Formation Terraform Successfully contributes to the entire development lifecycle of teams products Exposure to secure coding practices access controls authentication and audit AWS Lake formation preferred Strong experience with SQL SQL Server Postgres and Python Scala Identify opportunities for process improvement as well as efficiency in solutions Demonstrated ability to mentor junior team members Excellent analytical and time management skills with a proven ability to deliver value independently Strong written and verbal communication skills with demonstrated experience providing technical input to technical and non-technical stakeholders Ability to participate in on-call rotation Preferred FinTech industry experience Understanding of MPP Data Warehouse Redshift Greenplum Experience with Graph database